Kerry Gates is the Director, MCB Community Professional Development and Communities Executive Event Producer at Microsoft. She has been a prominent voice in the space of Diversity and Inclusion and has been instrumental in building diverse teams and organizations resulting in high-impact, result-oriented workplaces. We first came across Kerry's poem on Ageism, When I'm 54, on Linkedin. These are her views on ageism in tech.
People have different definitions for ageism. Some define it based on stereotypes, some on prejudice and some on age. How would you define it?
Well, the dictionary says and I am paraphrasing a bit, the discrimination of a person based on their age. In this instance I’d say anyone over 45 /50 is headed into the ageism in tech.
Is ageism a myth or does it actually pose a serious threat to the tech industry?
Yes it does pose a threat. Why? The industry will miss out on a great deal of the market if they are not looking at the over 50 demographic and to do that effectively you need to have the over 50 demographic working on the solutions.
It is pretty simple; almost all new technology is designed for use by younger people. Designers and manufacturers are deliberately ignoring the over-50s when creating new products and services. Quite logically, older people choose not to use products that have nothing to offer them. By not targeting products to an older demographic, the industry is reducing the customer base by half, not to mention dollars.
This data is old, like 4 or 5 years but the 50+ population has an estimated $2.4 trillion in annual income. Don’t know about you but I am not keen to leave that kind of cash on the table. So why is tech? If you don’t understand me I am not buying from you.
Wow! ageism in tech is a real problem which needs to be tackled right away. Kerry, do you know of any instances where candidates were biased due to their age?
Yes but not people who are willing to go on record. That’s the issue, so many people are embarrassed. Many people remove jobs from resume’s to not look like they have been in the workforce for as long as they have. You won’t even get a phone interview.
Every year since the early days of the dotcom bomb, when I lived and worked in San Francisco, I interview regularly-at least once a year. Not that I want another job, but to keep my skills fresh and my interviewing up to date, it changes. I should mentioned my search tends to be outside of Microsoft as I am not really looking to leave and want to have a tougher experience in the interview. Internal can be tough but it is still internal, so a bit more open.
What got me going was this last year I could not get a bite at all-The recent experience, well it sucked. Once I removed 10 years off of my resume and downplayed my longevity in the industry, I was able to get a phone interview and some feelers, but no in person. I mean what do I do, take off 20? That’s just so screwed up.
How can candidates overcome age discrimination in a job interview?
I think sharing how you are keeping your skills up to date, the way you view learning. Give examples of how you are always learning and experience does not breed complacency.
What are some ways companies can tackle ageism in tech?
Set up reverse mentoring. Be honest and highlight it. Recently our CMO did just that and invited an older worker to share their experience with the rest of the org. It was great and eye opening for others. Just like any kind of discrimination, meet it head on with honesty and address it. I also think make the case for those dollars not coming to your business. It is the ethical thing to do, including others and not being judgmental on someone’s age, but also geez the group 55-64 outspends all adults in nearly EVERY category. * US Consumer Expenditure report/ survey
It is about time companies took measures to combat ageism in tech. Tech’s youth driven culture and workforce could make some developers and engineers feel obsolete. The best way for developers to combat ageism is to never stop learning and when you’re hiring senior engineers, it’s always good to consider the whole story and incorporate a bias-free screening process. Let our go-getter's guide to diversity hiring in tech lead the way.
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When you’re gearing up for a technical interview in recent times, practicing on the right platforms can help you make it or break the interview.
Today’s job market moves fast, and hiring teams expect coding candidates to think clearly, write clean solutions, and perform under pressure. Online platforms have stepped up to meet that need. They give you real coding problems to solve, timed environments that mimic live interviews, and some even let you run mock interviews with real people.
In fact, about 60% of companies now use online assessment platforms to evaluate technical skills during remote hiring, including live coding and automated grading, making online coding interview platforms a core part of developer recruitment. Whether you want to drill data structures, simulate live coding screens, or just practice coding interview questions again and again, there’s a tool designed for that.
In this article, we break down the top 7 online coding interview platforms that will help you practice smarter, stay confident, and land the job you’re aiming for.
The 10 Best Online Coding Interview Tools: A Side-by-Side Comparison
This table provides a side-by-side comparison of the top online coding platforms for interview use, highlighting essential features, strengths, and use cases.
It helps recruiters and hiring teams quickly evaluate each online coding platform's interview performance, so you can identify the right solution for your technical hiring needs.
Tool Name
Best for (Use Case)
Key Features
Pros
Cons
G2 Rating
HackerEarth FaceCode
Best overall online coding interview platform
Live pair programming, extensive question library, AI-powered interview agent, smart browser proctoring, global hackathons, enterprise integrations, and reliable uptime
End-to-end collaborative interviews; AI summaries; strong proctoring; vast question library; GDPR & ISO compliance
Limited deep customization; no stripped-down budget plans
AI-powered insights & scoring; secure assessments; adaptive AI interviews
Learning curve; test setup can be unintuitive; advanced reporting can need extra configuration
4.4
How We Evaluated These Online Coding Interview Platforms
Most online coding interview tools promise faster hiring and a better signal. Very few prove it under real technical scrutiny.
To separate marketing claims from measurable value, we evaluated each tool against the standards modern engineering teams actually require today.
Live coding collaboration quality: We assessed how well each platform supports real-time collaboration between the interviewer and the candidate. Then, we looked for smooth code sharing, low-latency performance, and features such as cursor visibility, code playback, and collaborative debugging that reflect real development workflows.
Multi-language support: Engineering teams rarely hire for just one language. Hence, it’s not practical for them to run separate platforms for Python, Java, JavaScript, Go, or Rust. If teams switch tools, it fragments workflows, increases cost, and creates inconsistent candidate experiences. Robust online coding interview platforms provide deep, reliable execution environments across both popular and niche languages.
IDE and environment realism: We also examined how closely each built-in IDE replicates production setups, including debugging tools, terminal access, dependency management, and configuration flexibility. The closer the environment is to real-world engineering conditions, the stronger the hiring signal.
Question bank depth: If technology evolves quickly, your interview questions must evolve even faster. At the same time, widely circulated questions lose their effectiveness when candidates memorize answers from forums or online interview-coding practice sites. High-performing platforms provide role-specific libraries across frontend, backend, data, DevOps, and system design.
Structured evaluation rubrics: Consistency reduces bias. Platforms that enforce standardized scoring frameworks make it easier for hiring teams to compare candidates objectively. Clear rubrics also improve interviewer alignment and support more defensible hiring decisions.
Anti-cheating and integrity safeguards: What use is a coding interview platform if it cannot detect cheating? Hence, we evaluated plagiarism detection, proctoring features, browser monitoring, copy-paste controls, and suspicious behavior tracking.
Enterprise integrations: Modern hiring teams operate within complex recruitment ecosystems. This is why we reviewed ATS compatibility, single sign-on support, API flexibility, and workflow automation.
Reporting and analytics: We examined score breakdowns, performance benchmarking, and interviewer insights. In-depth analytics support faster and more confident hiring decisions.
Candidate experience: Every interview reflects your employer brand. Interface clarity, platform stability, accessibility, and overall usability all shape how candidates perceive your company. A frictionless experience increases completion rates and leaves a lasting positive impression.
Pricing transparency: Finally, we reviewed pricing clarity, scalability across team sizes, and the risk of hidden costs. Transparent pricing supports predictable hiring budgets.
The 7 Best Online Coding Interview Tools: An In-Depth Comparison
After testing and comparing a wide range of platforms, we selected the 7 best online coding interview tools that combine real-world coding environments, seamless collaboration, and more, to help candidates and hiring teams succeed.
1. HackerEarth FaceCode: Best overall online coding interview platform
Make smarter, faster hiring decisions with FaceCode
As an all-in-one online coding assessment platform, HackerEarth allows hiring teams to assess candidates’ coding abilities, problem-solving skills, and communication in real time, moving beyond static tests or traditional resume filters. Its FaceCode tool provides a state-of-the-art collaborative code editor, HD video chat, interactive diagram boards for system design, and a built-in library of over 40,000 questions. Teams can conduct live panel interviews with up to five interviewers in one session to assess a candidate’s coding skills, problem-solving, and collaboration abilities.
The AI-powered interview agent automates structured interview conversations based on predefined rubrics, adapts to candidate responses, and generates unbiased scoring. FaceCode stores full interview recordings and transcripts for later review, and masking personally identifiable information ensures fair assessments.
FaceCode integrates with ATS platforms such as Greenhouse, Lever, Workday, and SAP. It is GDPR-compliant, ISO 27001-certified, and maintains 99.99% uptime, making it reliable for both small- and large-scale hiring.
HackerEarth also connects companies to a global developer community of over 10 million through hackathons and hiring challenges, allowing teams to discover and evaluate talent in interactive ways. Smart Browser Proctoring ensures integrity by monitoring activity, blocking unauthorized tools like ChatGPT, and tracking audio, tabs, and IP location during interviews.
Key features
Live pair programming: Conduct collaborative coding sessions with real-time editing and shared whiteboards
Extensive question library: Access 40,000+ questions across multiple tech domains
AI-powered interview agent: Automate structured interviews and adaptive scoring
Smart Browser proctoring: Monitor for cheating with tab-switch detection, audio tracking, and IP restrictions
Community engagement: Run hackathons and coding challenges to discover talent globally
Enterprise integrations: Connect with ATS platforms like Greenhouse, Lever, Workday, and SAP
Enterprise-ready: GDPR-compliant, ISO 27001-certified, and 99.99% uptime ensure reliability at scale
Who’s it best for
Tech companies and large enterprises that need to scale collaborative technical interviews, assess coding skills in real time, and maintain fair and consistent hiring processes
Access to a massive, role-specific question library
Enterprise-ready with GDPR and ISO compliance
Cons
Limited options for deep customization
No budget-friendly, stripped-down plans
Pricing
Growth Plan: $99/month (10 interview credits)
Enterprise: Custom pricing
2. CoderPad: Best for real-time collaborative coding
Hire better devs with CoderPad's live coding interview platform
Run stress-free technical interviews with real-time collaboration. CoderPad allows interviewers and candidates to write code together smoothly without lag. Candidates can join with just a link, no setup required, which reduces stress and makes remote interviews seamless.
The platform supports embedded audio and video calling with closed captioning to improve communication. Interviewers can customize their experience with a waiting room, code autocompletion, and preferred key bindings, such as Emacs or Vim. Additionally, it records coding sessions, creating transcripts and playback options for later review. It also integrates easily with ATS systems or scheduling tools and includes ready-to-use questions for quick interview preparation.
Key features
Private interviewer notes: Take notes in markdown, share with colleagues, or keep private to support unbiased evaluations
Multi-language support: Conduct interviews in C, C#, C++, Java, JavaScript, Kotlin, Python, Ruby, and Swift 5 without switching tools
Closed captioning: Reduce language barriers and improve accessibility for all candidates
Who’s it best for
Technical interviewers, engineering managers, and distributed teams that need to run real-time collaborative coding interviews and support multiple programming languages
Pros
Simple and focused interface for live coding sessions
Smooth real-time collaboration between interviewer and candidate
Supports multiple languages and real coding environments
3. Codility: Best for enterprise technical assessments
Assess a range of candidate skills with Codility Interview
Codility Interview provides a seamless environment that combines video chat, an IDE, pair programming, and whiteboard functionality. Interviewers can standardize workflows or allow free-flowing discussions, while candidates showcase their skills in an intuitive interface.
The platform accelerates hiring by streamlining technical and system design interviews without sacrificing quality. This allows candidates to enjoy an interactive experience with instant feedback, which improves engagement and creates a positive impression of your company.
Key features
AI collaboration assessment: Monitor how candidates work with generative AI tools using Cody, the AI assistant
Seamless collaboration tools: Use video chat, whiteboards, and pair programming to facilitate real-time interviewer discussions
Standardized evaluation process: Assess all candidates fairly using the same technical standards and rubrics
Who’s it best for
Technical recruiters, engineering managers, and enterprise teams that need to run standardized, high-fidelity technical assessments and evaluate engineers at scale
Pros
Combines live coding, pair programming, and whiteboards for complete evaluation
Supports AI collaboration skills assessment with Cody
Provides a highly intuitive and accessible candidate experience
Powered by HireHunch, HunchVue allows interviewers to focus entirely on candidate evaluation with an all-in-one dashboard. The platform supports over 35 programming languages, making it versatile for assessing developers across different tech stacks.
HunchVue records interviews and provides playback, allowing hiring teams to review sessions at any time. Advanced proctoring alerts monitor for suspicious activity and maintain integrity throughout the interview process. These features together create a comprehensive solution for AI-assisted technical hiring.
Key features
Multi-language support: Conduct interviews in over 35 programming languages to assess candidates across diverse coding stacks
Interview playback: Replay coding and video sessions to review performance in detail
Proctoring alerts: Detect suspicious activity and maintain a fair and secure assessment environment
Who’s it best for
Tech companies, hiring managers, and startups that want AI-assisted screening, unified coding interview environments, secure proctoring, and flexible multi-language assessments
Pros
Provides interview playback for detailed review
Includes proctoring alerts for secure assessments
Offers customizable templates to match hiring needs
Cons
Free plan limits sessions to 40 minutes, which may be insufficient for larger teams
Customizable setup requires a learning curve to use all features effectively
High-volume usage can lead to additional costs beyond standard plans
Pricing
Pay As You Need Plan: Custom pricing
Full Service Plan: Custom pricing
5. PlayCode: Best lightweight browser coding tool
Interview developers online easily with PlayCode
Designed for fast, lightweight coding assessments, PlayCode reduces friction for both candidates and interviewers. All you need to do is share a link, and candidates start coding in seconds. The platform supports multi-file projects, real-time collaboration with multiple cursors, instant compilation, and live preview.
The best part is that it is significantly more affordable than many alternatives, costing as little as $5/month while still offering advanced features such as an AI coding assistant, code playback, and interactive review. Candidates can run JavaScript, TypeScript, React, and Vue projects without installing software or creating accounts. It also works well for first-round technical screenings, frontend or UI/UX interviews, pair programming exercises, take-home reviews, and mock interviews.
Key features
Instant link-based interviews: Share a project link and let candidates start coding immediately with no signup
Multi-file projects: Organize code into folders and files for complex, real-world scenarios
Coding AutoComplete: Enhance your coding speed and efficiency with smart code autocomplete feature
Who’s it best for
Tech companies, bootcamps, and startups that need a fast, affordable, and lightweight coding tool
Pros
No signup required for candidates
Offers AI coding assistance, bug detection, and instant code evaluation
Runs entirely in the browser with fast compilation and live preview
6. Mercer Mettl: Best for campus & large-scale hiring
Automate the hiring process with Mercer | Mettl
Conduct large-scale technical hiring efficiently with Mercer Mettl’s online coding interview tools. The platform helps you evaluate candidates in real-time using auto-graded simulators, live coding, and automated assessments. Interviewers can monitor candidates as they code live, use digital whiteboards and notepads for ideation, and leverage data from previous screening rounds to make informed decisions.
The platform supports a broad library of pre-built questions for multiple job roles, enabling a quick start to interviews. It also facilitates holistic candidate evaluation, including behavior, cognition, and technical skills. Tools such as code playback, project-based assessments, and interactive hackathons provide deep insights into candidates' capabilities while maintaining fairness and consistency.
Key features
Digital ideation tools: Use interactive whiteboards and notepads to assess problem-solving and design thinking
Comprehensive code analysis: Leverage code playback and screening data from multiple rounds for objective evaluations
Pre-built question library: Access ready-to-use questions for major technical roles to accelerate the hiring process
Who’s it best for
Tech companies, large enterprises, and universities that need to conduct campus drives, large-scale hiring, or role-based coding assessments
Pros
Supports real-time live coding, digital ideation, and role-based assessments
Provides auto-graded simulators and project-based evaluations
Offers hackathons and coding projects to discover top talent
Get comprehensive and accurate evaluations of candidates in real-time
iMocha’s Live Coding Interview platform enables recruiters to evaluate candidates in a seamless, interactive environment. The platform supports over 50 programming languages and frameworks, provides integrated code editors and compilers, and facilitates smooth candidate interaction with built-in chat and whiteboarding.
The platform also integrates with its AI-SkillsMatch and Tara conversational AI interview tools. AI-SkillsMatch maps job requirements to skills, evaluates candidate fit, and provides validated match scores. Tara conducts human-like, adaptive interviews with automatic scoring, transcripts, and bias-free evaluation at scale.
Key features
Skills library access: Use 10,000+ skills, including technical, cognitive, soft, and functional assessments
Insights & benchmarking: Compare candidates’ performance, generate detailed reports, and benchmark against peers
AI-SkillsMatch: Match candidates to job requisitions with validated skills profiles and AI-driven scores
Who’s it best for
Tech companies, enterprises, and staffing teams that need AI-powered coding assessments and scalable, bias-free technical hiring
Pros
Generates AI-powered insights, scoring, and benchmarking
Provides secure, proctored assessments with anti-cheating measures
Includes adaptive AI interviews via Tara for consistent evaluation
Available in AI-SkillsMatch and Tara Conversational AI Interview plans: Custom pricing
Choose the Right Online Interview Coding Tool to Elevate Your Hiring
Technical interviews have evolved, and today’s hiring teams need tools that go beyond simple coding tests to assess collaboration, problem-solving, and real-world coding skills.
Among all platforms, HackerEarth FaceCode stands out as an all-in-one platform with live pair programming, AI-powered scoring, and a massive question library. All these features enable teams to conduct fair, scalable, and efficient coding interviews.
Take your hiring to the next level! Book a demo or try FaceCode today and experience seamless, high-fidelity technical assessments.
Recruitment is no exception. In fact, hiring may be one of the most rapidly transformed functions. The question in 2026 is no longer whether companies should adopt AI, it’s which solution to choose. That’s where the modern AI interview assistant comes in.
An AI-powered interview platform is a tool that uses AI to automate, structure, and improve the interview process through candidate screening, skill assessment, interview scheduling, and decision support. In this article, we’ll explore the 10 best AI interview assistant tools for smarter hiring, comparing their features, pros, and cons to help you choose the right solution.
The 10 Best AI Interview Assistants: Side-by-Side Comparison
This table offers a side-by-side comparison of leading AI interview assistants for recruiters, highlighting key features to help you identify the best hiring solution for your needs.
Tool Name
Best for
Key Features
Pros
Cons
G2 Rating
HackerEarth AI Interview Agent
Enterprise technical hiring; full lifecycle interviewing & assessments
AI Interviewer with structured rubrics, AI Screener, Job Posting, Practice Agent, proctoring, and collaborative interviews
Scales technical hiring; deep skill assessments; bias-resistant insights
No low-cost or stripped-down plans
4.5/5
HireVue
High-volume enterprise video interviewing
Interview Insights with AI summaries, searchable transcripts, and competency validation
Video assessments, Smart Shortlisting, branding, ATS integration
Excellent support; strong ease of use; clear insights
Dashboard UX could improve; beginner learning curve
4.7/5
How We Evaluated These AI Interview Assistants
Not every AI interview tool delivers real hiring impact, and we did not rely on feature lists or brand claims to rank them.
To separate real performance from marketing claims, we evaluated each platform based on these critical factors:
AI capabilities: To being with, we assessed how intelligently the platform interprets candidate responses, how accurate and actionable its insights are, and whether it supports consistent, data-driven hiring decisions instead of surface-level automation. Tools with strong AI reduce reliance on subjective judgment and make evaluations more objective.
Technical assessment depth: Platforms that offer coding challenges, logic puzzles, and real-world simulations provide a clear picture of a candidate’s skills. These features help distinguish tools that accurately predict on-the-job performance from those offering only surface-level testing.
Enterprise readiness: Scalability, system integrations, and compliance with global data standards determine whether a platform can support complex, high-volume hiring operations. Enterprise-ready software maintain performance, security, and reliability across large organizations.
Candidate experience: We looked at interface clarity, accessibility, responsiveness, and whether the interview journey feels structured, fair, and professional from start to finish. Measuring candidate experience ensures that tools keep top talent engaged and willing to complete the process.
Anti-cheating and integrity: Online proctoring, identity verification, and plagiarism detection protect the credibility of tech assessments. Platforms with strong integrity measures protect companies from dishonest behavior and preserve the validity of results.
Pricing and ROI: We analyzed cost transparency, flexibility of plans, and whether the platform delivers measurable improvements in time-to-hire, quality-of-hire, and recruiter efficiency. These aspects identify tools that deliver real savings in time-to-hire and quality-of-hire.
User reviews: Finally, we verified customer reviews from G2, Capterra, and ProductHunt, focusing on platforms with an average 4.0-star rating and 50 to over 100 verified reviews. Yearly client growth, published case studies, and documented hiring outcomes confirmed strong industry adoption and real-world impact.
The 10 Best AI Interview Assistants: An In-Depth Comparison
Let’s start with one of the top names in AI interview software for companies and take a closer look at:
1. HackerEarth AI Interview Agent: Best overall for technical hiring
Conduct deep technical, adaptive interviews consistently
HackerEarth is an AI interview assistant that helps enterprises streamline technical hiring through intelligent automation. It combines AI-driven skill assessments, advanced proctoring, and collaborative interviews in a single platform. Its library contains over 40,000 questions across more than 1,000 technical and domain-specific skills, allowing recruiters to evaluate candidates in coding, full-stack projects, DevOps, machine learning, data science, and other specialized areas.
The AI Interview Agent simulates structured conversations based on predefined rubrics. It adapts dynamically to candidate responses and can automate 5+ hours of engineer evaluation per hire, significantly reducing manual interview workload.
HackerEarth extends AI across the talent lifecycle. The AI Screener automates early-stage candidate evaluation, replacing manual resume reviews and phone screens with structured, bias-resistant insights. AI-enhanced Job Posting improves discoverability through semantic matching and distribution across the HackerEarth ecosystem, attracting high-intent candidates efficiently.
The AI Practice Agent supports skill development with personalized mock interviews, coding exercises, and real-world problem-solving challenges that provide instant AI feedback. Auto-evaluated subjective questions allow interviewers to assess communication, problem-solving, and domain expertise without manual review. Engineering teams benefit from SonarQube-based code quality scoring, which evaluates code for correctness, maintainability, security, and readability.
The platform equally emphasizes security and fairness. Proctoring features include Smart Browser technology, AI-powered snapshots, tab-switch detection, audio monitoring, and extension detection to prevent misuse of tools such as ChatGPT. This makes HackerEarth reliable for campus hiring, lateral recruitment, and high-stakes technical assessments.
For live interviewing, FaceCode is HackerEarth’s collaborative coding and video platform, offering real-time proctoring, automated summaries, and candidate behavior analytics. Combined with more than 15 ATS integrations and enterprise-grade scalability supporting unlimited concurrent candidates, HackerEarth ensures smooth workflows for interviewers managing high-volume or specialized hiring. The platform also provides 24/7 global support, dedicated account managers, and SLA-backed guarantees, making it one of the most robust AI interview assistant platforms for enterprises in 2026.
Key features
AI-generated questions: Deliver AI-generated interview questions that challenge candidates across technical and behavioral competencies
Candidate analysis: Provide a detailed performance analysis highlighting strengths, weaknesses, and actionable improvement suggestions
Interviewer assist: Capture real-time notes, transcripts, and auto-summaries to simplify interview evaluation
Bias reduction: Apply bias reduction features and PII masking to maintain fair and objective assessments
ATS integration: Enable deep integration with ATS to track, organize, and manage candidates efficiently
Who it’s best for
Ideal for interviewers, technical recruiters, HR teams, and enterprise hiring managers who need a scalable, secure, and intelligent platform to evaluate technical talent efficiently. It works well for campus hiring, lateral recruitment, high-volume hiring, and specialized technical roles
Pros
Reduce interviewer workload with AI-assisted evaluation
Practice coding and system design anytime without scheduling conflicts
Gain comprehensive insights on candidate skills and communication
2. HireVue: Best for high-volume enterprise video interviewing
Make the right hire with the AI interview assistant
HireVue is an AI interview assistant designed to help enterprises accelerate hiring through intelligent video interviews. Its Interview Insights feature combines structured, science-backed content with AI assistance to turn every interview into actionable insights. The platform highlights moments that demonstrate a candidate’s skills, generates instant transcripts, and provides searchable summaries and interviewer benchmarks.
AI-driven evaluation maintains consistency, validates competencies, and standardizes decisions at scale. HireVue integrates seamlessly with tools like Zoom and Teams, enabling teams to conduct high-quality interviews without disruption while capturing role-specific, data-driven insights that support faster, fairer hiring decisions.
Key features
AI-generated questions: Deliver AI-generated interview questions that challenge candidates across technical and behavioral competencies
Candidate analysis: Provide a detailed performance analysis highlighting strengths, weaknesses, and actionable improvement suggestions
Interviewer assist: Capture real-time notes, transcripts, and auto-summaries to simplify interview evaluation
Who it’s best for
Enterprise recruiters, talent teams, and hiring managers conducting high-volume or remote interviews
Pros
Easy to schedule and manage candidate interviews
AI-assisted summaries reduce manual review time
Standardized, data-driven evaluation improves fairness and consistency
3. CoderPad: Best for collaborative live coding interviews
Measure how candidates actually work with modern AI tools using CoderPad
As an AI coding interview platform, CoderPad allows interviewers to evaluate multi-file projects, prompt crafting, tool selection, and output verification within real-world workflows. Candidates can complete engaging, gamified tests while auto-graded projects, keystroke playback, and AI-assisted insights help interviewers identify true skills.
The platform balances integrity and AI use, supports unified workflows from asynchronous projects to live interviews, and reduces engineering interview time by around 33 percent. CoderPad is ideal for high-signal, fair, and scalable technical interviews.
Key features
AI-integrated projects: Assess how candidates prompt, troubleshoot, and validate AI outputs in a monitored IDE that supports AI tools
Realistic multi-file environments: Simulate real development workflows with auto-grading, keystroke playback, and optional video/audio explanations
Integrity toolkit: Use code similarity checks, IDE exit tracking, randomized questions, and AI-assisted webcam proctoring to maintain assessment integrity
Who it’s best for
Technical interviewers, engineering managers, and distributed teams who need collaborative, high-fidelity coding assessments
Pros
Smooth real-time collaboration and live coding experience
Supports multiple languages and real-world coding environments
Auto-grading and playback reduce manual evaluation time
4. Codility: Best for enterprise-grade technical assessment science
Get access to Screen & AI Interview tools using Codility
Another great AI interview assistant for hiring is Codility, built for high-fidelity, collaborative technical assessments that evaluate both coding skills and AI-enabled collaboration. Its Interview platform combines video chat, IDE, pair programming, and whiteboard functionality, giving candidates an interactive environment to showcase problem-solving, logic, and architectural skills.
Interviewers can standardize workflows while maintaining flexibility, delivering fair, data-driven evaluations. Codility accelerates hiring with efficient system design and live coding interviews, guarantees positive candidate experiences, and leverages AI assistants like Cody to measure collaboration with generative AI tools.
Key features
Seamless collaboration: Video chat, pair programming, IDE, and whiteboard tools for interactive interviews
Empowered interviewers: Tools for structured and free-flowing workflows, real-time discussion, and consensus building
5. BrightHire: Best for interview intelligence and note-taking
Streamline hiring with an interview intelligence platform
Next in our list is BrightHire, an AI technical interview tool that extends your recruiting team by automating structured first-round interviews and delivering real-time interview intelligence. It captures complete candidate context through transcripts, summaries, and AI-generated notes, allowing recruiters to surface top talent earlier and make data-driven decisions.
Async and live interviews are fully supported, providing candidates with a fair, consistent, and flexible experience. The platform integrates seamlessly with ATS workflows, enabling hiring teams to scale efficiently while maintaining structured evaluation, equitable scoring, and actionable insights.
Key features
AI-powered notes: Capture key candidate details automatically for easy review and sharing
Structured interview design: Generate role-specific interviews with adaptive length, tone, and focus using existing rubrics and job descriptions
Interview intelligence: Access transcripts, summaries, and scores directly in your ATS to support confident decisions
Who it’s best for
Recruiters, talent teams, and hiring managers who want to scale candidate screening while improving fairness, consistency, and insight
Pros
Automates note-taking and captures key moments with AI
Streamlines decision-making through transcripts, summaries, and interview clips
Positive adoption due to ease of use and comprehensive insight
Available in Recruiters, Teams & Enterprises: Contact for pricing
6. Metaview: Best for AI-powered recruiting analytics
Get instant insights from recruiting interviews
Metaview transforms recruiting and interview workflows by automatically capturing, summarizing, and analyzing candidate conversations. Users can ask the AI questions about interviews and receive instant insights, highlighting key details and patterns across responses.
It integrates seamlessly with existing tools such as ATSs, CRMs, and video platforms, enabling teams to focus on high-value recruiting work instead of note-taking. Built with GDPR, CCPA, and SOC II compliance, Metaview makes sure secure candidate data while delivering structured summaries, automated transcripts, and actionable insights that accelerate hiring and improve consistency across interviews.
Key features
AI-powered summaries: Generate instant, structured interview summaries and insights with a single query
Automated note-taking: Capture key details during interviews or meetings without manual effort
Transcripts and analytics: Access searchable transcripts and patterns across candidate responses
Who it’s best for
Recruiters, TA leads, and hiring managers who want to reduce administrative work, improve interview consistency, and generate actionable insights
Pros
Eliminates manual note-taking and saves hours per week
Provides structured, actionable insights and summaries
Integrates seamlessly with existing ATS and recruiting tools
Cons
Transcript accuracy can vary, especially for non-native or accented speech
Some manual edits may be required for complete precision
Pricing
Free AI Notetaker: $0
Pro AI Notetaker: $60/month per user
Enterprise AI Notetaker: Custom pricing
AI Recruiting Platform: Custom pricing
7. Interviewer.AI: Best for async video screening with AI scoring
Hire quickly with an end-to-end AI video interview platform
Designed to streamline high-volume candidate screening, Interviewer.AI combines asynchronous video interviews with AI-driven scoring and insights. By enabling candidates to complete interviews on their own schedule, it reduces manual screening effort by up to 80% while maintaining fairness and consistency.
In addition, AI-powered avatars and dynamic follow-up questions simulate live interviews, providing structured, explainable evaluations across geographies and languages. The platform integrates seamlessly with ATS and admissions systems, helping hiring teams, universities, and staffing agencies efficiently assess communication, intent, and readiness at scale while improving time-to-hire and candidate experience.
Key features
Async video interviews: Structured, scalable interviews that candidates can complete on their own time
AI interviewer avatars: Conversational, dynamic avatars that simulate real interviews and adapt to responses
Automated scoring and summaries: Generate AI-driven insights and comparisons to support objective evaluation
Who it’s best for
Hiring teams, universities, and growing businesses globally that need to screen large candidate volumes fairly
Pros
Integrates seamlessly with ATS, admissions, and workflow platforms
Provides structured, explainable evaluations with AI-generated insights
Supports asynchronous interviews, improving candidate convenience and flexibility
Cons
Limited analytics for overall career page or specific job page engagement
Professional: $804 (25 seats, Up to 5 job postings)
Enterprise: Contact for pricing
*All prices are listed annually.
8. Mercer Mettl: Best for campus recruitment and large-scale assessment
Assess online with virtual talent assessment tools by Mercer | Mettl
Mercer | Mettl is an AI-driven assessment and proctoring platform designed to simplify large-scale hiring and campus recruitment. By combining online exam management, AI-assisted proctoring, and advanced evaluation tools, it enables organizations to conduct secure, fair, and scalable assessments.
In addition, the platform supports 26+ question formats, multi-language registration, and ERP/ATS integration. This enables seamless workflows across campuses and enterprises. AI-enabled proctoring and real-time analytics help maintain exam integrity while providing actionable insights for decision-makers.
9. iMocha: Best for skills intelligence beyond hiring
Engage candidates in natural, conversational interactions
If you want an AI mock interview platform that looks beyond traditional hiring, iMocha is your go-to tool. Through its Tara Conversational AI agent, it supports multiple assessments across technical, cognitive, and behavioral domains, making it ideal for pre-employment screening, upskilling, and campus recruitment.
With multi-format questions, role-specific assessments, and seamless integration with ATS/HR systems, iMocha delivers actionable insights while maintaining exam integrity and scalability, empowering organizations to make data-driven talent decisions.
Key features
Advanced Analytics & Reporting: Real-time dashboards, detailed skill gap insights, and actionable hiring intelligence
10. myInterview: Best for culture fit and soft skills evaluation
Hire the right candidate with AI screening and interview scheduling
Trusted by over 7,000,000 interviews globally, the platform enables businesses of all sizes to connect with candidates in an intuitive, collaborative, and reliable environment. With Smart Shortlisting, customizable branding, and ATS integrations, myInterview streamlines hiring, giving teams a clearer view of candidate potential before the in-person interview stage.
Its quick setup helps teams with the interviewing process in minutes, making soft skills evaluation scalable and efficient.
Key features
Video-Based Assessments: Capture communication skills, personality traits, and cultural fit directly from candidate responses
Smart Shortlisting: Automatically rank and filter candidates based on predefined criteria
Customizable Branding: Maintain company identity across the interview experience
Who it’s best for
Small businesses, large enterprises, and recruitment teams looking to assess soft skills, communication, and cultural fit efficiently
Pros
Excellent customer support, responsive and helpful
Clear insights into candidates’ communication and cultural fit
The Right AI Interview Copilot Makes All the Difference
With so many platforms promising smarter hiring, the real challenge is choosing one that aligns with your technical depth, hiring scale, and long-term talent strategy. A true AI interview copilot should bring structure to evaluations, reduce bias, protect assessment integrity, and deliver insights that confidently guide decisions.
HackerEarth AI Interview Agent supports the entire technical hiring lifecycle, from AI-powered screening and structured interviews to advanced proctoring and collaborative live coding. By automating hours of manual evaluation and delivering clear, skill-based insights, it helps teams focus on identifying high-quality talent.
The future of hiring belongs to teams that combine intelligent automation with thoughtful human judgment. Book a demo today to learn more or try HackerEarth out now to see it for yourself.
The global talent crisis and the economic cost of unfilled roles
There is a growing gap between the skills employers need and what job seekers offer, putting both economies and companies at risk. As technology evolves quickly, relying solely on education and work history is not enough. Employers struggle to find qualified people, and many job seekers cannot find roles that recognize their true skills.
Research from Korn Ferry shows that by 2030, there could be a shortage of over 85 million workers worldwide. If this continues, the global economy could lose about $8.5 trillion each year. The problem is especially serious in fields like cybersecurity, which already needs 4 million more professionals, and the semiconductor industry, which will need another million skilled workers by the end of the decade.
Several factors are causing this talent shortage. As Baby Boomers retire, the workforce loses years of experience, and the rapid growth of artificial intelligence is changing the skills needed for many jobs. LinkedIn data shows that the skills required for a typical job have changed by about 25% since 2015, and this pace is expected to double by 2027. In this situation, a degree is no longer a reliable sign of current skills. Organizations need to shift to a more flexible, skills-based hiring approach.
Defining skills-based hiring and the transition from traditional proxies
Skills-based hiring, also called "skills-first" hiring, means selecting candidates based on their specific hard and soft skills rather than their education or past job titles. Traditionally, employers used a four-year degree as a shortcut to judge ability and knowledge. But now, people can gain valuable skills through boot camps, community colleges, military service, or work experience, making the old approach less reliable.
The old way of hiring assumes that having a degree or a job at a well-known company means someone will perform well. This "pedigree bias" has led many jobs, such as administrative support or entry-level IT roles, to require degrees even when they are not needed. A skills-based approach breaks down each job into the exact skills needed. It asks, "What does this person need to do from day one?" and "How can we measure that skill fairly?"
This shift requires a fundamental re-engineering of the recruitment funnel. Instead of a resume acting as the primary gatekeeper, objective assessments and technical evaluations take center stage. Platforms like HackerEarth allow candidates to demonstrate their proficiency in real-world coding environments, regardless of whether they have a computer science degree.
Switching to this model is not just a trend; it is needed. Research shows that hiring for skills predicts job success five times better than hiring for education and 2.5 times better than hiring for work experience alone. By focusing on skills rather than degrees, companies can find better candidates and reduce biases that have excluded many skilled workers.
The rhetoric versus reality gap in 2025 and 2026
A key issue with skills-based hiring is the gap between what companies say and what they do. By 2025, 85% of employers say they use skills-based hiring, a much higher rate than before. But a 2024 study by Harvard Business School and The Burning Glass Institute found that dropping degree requirements has had little real effect. Less than 1 in 700 hires (0.14%) changed because of these new rules. This shows that even when HR updates job postings, hiring managers still mostly pick candidates with traditional credentials, especially in final interviews. This often happens because managers are unsure about new ways to measure skills or prefer what they already know.
This shows that real change is harder than just removing a checkbox on a job application. True skills-based hiring means using clear ways to assess skills, such as the HackerEarth assessment library and the FaceCode interview tool. These give hiring managers the data they need to trust candidates with non-traditional backgrounds. Without these tools, skills-based hiring could become just another buzzword instead of a real strategy.
Expanding the talent pool: reaching the STARs
The main benefit of skills-based hiring is that it quickly expands the pool of people companies can hire. Dropping the bachelor’s degree requirement gives access to about 70 million U.S. workers who are "Skilled Through Alternative Routes" (STARs). These workers are already active in many fields, from retail to healthcare, and have valuable skills from military service, certificate programs, or years of work experience.
Economic efficiencies: time and cost savings
In today’s competitive economy, hiring faster and smarter gives companies an edge. Traditional hiring takes a long time because recruiters have to review hundreds of resumes, many of which are made by AI tools. Skills-based hiring uses automation and AI to speed up the hiring process and reduce time-to-hire.
Reports show that 91% of companies using skills-based hiring have made their hiring process faster. Almost 20% have cut their hiring time in half. For non-senior roles, companies can save 339-660 hours of recruiter and manager time per hire with a skills-first approach.
The cost savings are also strong. Replacing an employee usually costs about 33% of their yearly salary. By hiring better from the start and using fewer expensive headhunters, companies can save between $7,800 and $22,500 for each role. In total, 74% of employers say skills-based hiring has lowered their recruitment costs.
These time and cost savings are even bigger with tools like HackerEarth. Its automated grading and leaderboards let recruiters review thousands of candidates at once and quickly find the best people, using data rather than reading every resume. This makes it easier to fill many jobs and keeps hiring fast and affordable.
The retention advantage: building long-term workforce stability
Retention is now the main challenge for 66% of HR leaders. High turnover, especially among younger workers like Gen Z, disrupts operations and causes knowledge loss. Skills-based hiring is proving to be one of the best ways to retain employees.
LinkedIn and McKinsey data show that employees without four-year degrees stay in their jobs 34% longer than those with degrees. In companies that use skills-based hiring, 89% report a significant increase in employee retention.
This loyalty is built on trust. When companies value skills and offer "career-changing opportunities" to people without traditional backgrounds, those employees are more likely to stay and stay engaged. Skills-based hiring also shows employees what skills they need to advance, turning retention problems into growth opportunities. Companies that use these methods are 98% more likely to retain their best workers.
Fostering diversity, equity, and inclusion (DEI)
Using college degrees as the main hiring filter has acted as a "paper ceiling," keeping out many people from marginalized backgrounds who did not have access to top schools. For example, 62% of Black workers, 54% of Hispanic workers, and 70% of Native American workers in the U.S. are STARs—Skilled Through Alternative Routes.
Skills-based hiring is a powerful way to support diversity, equity, and inclusion. Deloitte research shows that 80% of business leaders think it reduces bias and makes hiring fairer. By looking at real skills instead of where someone went to school or who they know, companies give more people a fair chance.
A four-step implementation guide for skills-first hiring
Moving from traditional hiring to a skills-first approach is a major change and means companies need to update their recruiting methods. The four steps below give a guide for organizations that want to modernize how they find talent.
Step 1: Identify and deconstruct role-specific skills
The first step is to go beyond general job descriptions and list the exact, proven skills needed for a role. This means working with hiring managers to separate "must-have" skills needed right away from "preferred" skills that can be learned later. Companies should consider both technical and soft skills, such as communication and teamwork.
Step 2: Redefine job postings to focus on capabilities
After identifying the required skills, companies should rewrite job descriptions to focus on skills rather than credentials. Research shows that skills-based job postings attract more applicants and get 42% more responses. Companies should clearly say that a college degree is not required and that they will consider other work, life, or educational experiences.
To ensure candidates have the right skills, companies should use practical tests rather than just reviewing resumes. Technical platforms like HackerEarth are key for this. With a library of over 40,000 questions, companies can build coding tests that mimic real job tasks. For interviews, tools like FaceCode let candidates pair-program in real time, demonstrating their logic and problem-solving skills more effectively than a traditional interview.
Step 4: Train hiring teams and align organizational culture
The last step is to train hiring managers and interviewers on why skills-based hiring matters and how to assess candidates with non-traditional backgrounds. Without this support, managers might still rely on first impressions or prefer candidates with elite degrees. Companies need to build a culture that values learning, potential, and adaptability as much as current expertise.
Step 5: Measuring success: the skills-based organization framework
A skills-based strategy is most effective when companies measure it with solid data. They should set up key performance indicators (KPIs) to track how well their new hiring methods are working.
By tracking these numbers, HR teams can show the value of skills-based hiring and help the company keep investing in better ways to find and keep talent.
Conclusion
The global talent market is changing for good. Relying on educational pedigree is now outdated. Today, successful organizations are those that recognize talent in all forms, whether it comes from an Ivy League classroom or a self-taught project on GitHub.
By using skills-based hiring, companies can fix talent shortages, hire better people, lower recruitment costs, and build a more loyal and diverse workforce. This is not just an HR strategy; it is a key part of modern organizational strength. As the job market gets tighter, the ability to spot "STARs" in the talent pool will set the best leaders apart.
Does skills-based hiring mean we are ignoring education?
No. It means education is no longer used as an exclusive filter. Degree holders are still considered, but they must demonstrate their skills alongside non-degreed candidates.
How do we verify soft skills through this method?
Soft skills like resilience, collaboration, and communication are assessed through structured behavioral interviews and collaborative coding sessions like HackerEarth FaceCode.
What if a job legally requires a degree?
In roles where a degree is "legally mandated" (e.g., certain healthcare or legal positions), the requirement remains. However, for most corporate and technical roles, skills-based evaluation is the priority.
Is skills-based hiring only for technical roles?
While it is common in tech, it is rapidly expanding to healthcare, financial services, retail, and government administration.
How long does it take to implement?
A pilot program in one department can be launched in a few weeks, with full organizational adoption taking several months as cultures and tools are updated.
Are there tools for non-technical skills-based hiring?
Yes, there are platforms for behavioral assessments, language proficiency, and soft skills evaluation that follow similar skills-first principles.
Why do hiring managers often resist this change?
Resistance often stems from a lack of confidence in alternative signals. Providing managers with objective data from tools like HackerEarth helps build that confidence.
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