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Charles Babbage's computer - History of computer programming- Part 1

Charles Babbage's computer - History of computer programming- Part 1

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Arpit Mishra
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February 28, 2017
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3 min read
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“What is imagination?…It is a God-like, a noble faculty. It renders earth tolerable; it teaches us to live, in the tone of the eternal.” – Ada Lovelace to Charles Babbage

When Charles Babbage, in 1837, proposed a ”Fully programmable machine” which would be later called an Analytical engine, not even the government who seed-funded his Difference Engine believed him.

Undoubtedly the most influential machine in existence in today’s modern computer.

But back in the 19th century, when the world was drooling over the industrial revolution and railway tracks and steam engines, a machine which could think and calculate looked like a distant dream.

While most see the evolution of these advanced machines such as computers and smartphones as examples of electronic innovation, what people have taken for granted had been an evolution and the hard work of transforming a mechanical device into a self-thinking smart device which would become an integral part of our lives.

Charles Babbage – The father of the computer

In the 19th century, the concept of specialization had not breached the revered halls of universities and laboratories.

Most of the geniuses were polymaths, so was the Englishman Charles Babbage. Charles Babbage was a renowned mathematician, philosopher, and mechanical engineer of his times.

During those days, mathematical tables (such as your logbook) were manually made and were used in navigation, science, and engineering.

Since most of these tables were manually updated and calculated, the values in these tables varied frequently, giving inconsistent results during studies.

While at Cambridge, Charles Babbage noticed this flaw and thought of converting this mathematical-table based calculation into a mechanical product to avoid any discrepancies.

Difference Engine

In 1822, Charles Babbage decided to make a machine to calculate the polynomial function—a machine which would calculate the value automatically.

In 1823, the British government gave Charles Babbage £1700 (probably the first ever seed funding).

He named it the Difference Engine, possibly after the finite difference method is used to calculate.

Charles Babbage invited Joseph Clement to design his ambitious massive difference engine that had about 25,000 parts, weighed around 15 tons, and was 8 feet tall.

Despite the ample funding by the government, the engine never got completed. And in the late 1840s, he planned on making an improved engine.

But that was not completed either due to lack of funds.

In 1989–1991, scientists and engineers studying Charles Babbage’s research paper built the first difference engine, which is now placed in The Museum of the History of Science, Oxford.

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How Does Charles Babbage’s Difference Engine work?

Wikipedia says: “A difference engine is an automatic mechanical calculator designed to tabulate polynomial functions.

The name derives from the method of divided differences, a way to interpolate or tabulate functions by using a small set of polynomial coefficients.”

Let’s take an example with a polynomial function R = x2 + 1

X R Difference 1 Difference 2
Step 1 0 1 1 (D11) 2 (D21)
Step 2 1 2 3 (D12) 2 (D22)
Step 3 2 5 5 (D13) 2 (D23)
Step 4 3 10 7 (D14) 2 (D24)
Step 5 4 17 9 (D15) 2 (D2)

To solve this manually, you need to solve the equation “n+1” times, where n is the polynomial. So, for the given equation, we need threesteps.

When X = 0, result of R = 1; X= 1, R =2; X=2, R= 5, and so on.

Difference 1 : D11 = R2 (Step 2) – R1 (Step 1) or D12 (Step 2) = R3 (Step 3) – R2 ( Step 2) and so on

So for the Difference 1 column in the table above,

D11 = 2 (R2) – 1(R1) = 1

D12 = 5 (R3) – 2(R2) = 3

D13 = 10 (R4) – 5(R3) = 5

Difference 2 : D21 = D12 (Difference 1 -Step 2) – D11( Difference 1- Step 1), and so on.

By subtracting two consecutive values from the Difference 1 column,

D21 = 3 (D12) – 1(D11) = 2

D22 = 5 (D13) – 3 (D12) = 2

Similarly, for a third-order equation, we can prepare a new column called Difference 3, and calculate it by subtracting two consecutive numbers from the last column.

*The values in the last column or the highest power value always remain constant in the last difference column.*

Since the engine could only add and subtract, some of the values from each column are given to the difference engine to feed the engine with information necessary for further calculations.

Working of a difference engine

Let’s take another example where you have to calculate the result for x = 3 from the above equation (R = x2 + 1), and the engine was already given the values of Step 1 and Step 2 columns (Refer to above table). The engine would follow the following steps:

Step 1: To calculate the value for D12, Step 1 difference 2 is added to Step 1 Difference 1, which is 2(D21) +1( D11)=3.

Step 2: This D12 when added with R2, which gives the result for Step 3 = 3 (D12) + 2( R2) = 5

Similarly, to calculate the result for x = 4

Step 1 – For X = 4, Step 2 – Difference 2 added to Difference 1 = 2 (D22) +1 (D12) = 5

Step 2 – Add value from Step 1 to Step 3 result R3, which is 5+5, giving the final value as 10

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A difference engine (shown above) consisted of N+1 columns, where column N could only store constants and Column 1 showed the value of the current iteration.

And the machine was only capable of adding values from column n+1 to N.

The engine is programmed by setting initial values to the columns. Column 1 is set to the value of the polynomial at the start of computation.

Column 2 is set to a value derived from the first and higher derivatives of the polynomial at the same value of X.

Each column from 3 to N is set to a value derived from the first-order derivative. To simplify what the difference engine did, here is a simple code for Polynomial Function calculation using C++ –

#include <iostream>
#include <math.h>
using namespace std;

int d; // degree of the polynomial
int i; // 
int c; // 
int value; 
int j;
int p;
int sum;



int main()
{
    cout << "Enter the degree of the polynomial: " << endl;
    cin >> d; // degree of the polynomial
    cout << "The degree of the polynomial you entered was " << d << endl;

    
    int *c = new int[i];
    
    for(i = 0; i <= d; i++)
    {
        cout << "Enter coefficients: " << endl;
        cin >> c[i];
        int c[d+1];

    }
    
        cout << "There are " << d + 1 << " coefficients";
        cout << " The coefficients are: ";
        
        for (i = 0; i < d + 1; i++)
        cout << "\n   " << c[i];
        cout << endl;
        
        cout << " Enter the value for evaluating the polynomials" << endl;
        cin >> value;
        sum = 0;
        cout << " The value is " << value << endl;
        
        cout << "First polynomial is: " << endl;
        cout << c[0] << "x^3 + " << c[1] << "x^2 + " << c[2] << "x + " << c[3] << endl;
        {

            for (i = 0; i <= d; i++)
            p = 1;
            {


                for (j = 0; j <= (d - 1); j++)
                p = p * value;
                sum = sum + p;
                sum = pow(c[0]*value,d)+pow(c[1]*value,d-1)+pow(c[2]*value,d-2)+pow(c[3]*value,d-3);
                
                cout << "The sum is " << sum << endl;
            }
            
        }
             
}

The difference engine was never finished, and during its construction, Charles Babbage had a brilliant idea of using Punch Cards for calculation.

Till then, punch cards that had been used only for the mundane job of weaving would form the basis of future computer programming.

Punch Cards

Before Joseph Jacquard came up with the idea of punch cards, the weaving was done using draw looms. A drawloom generally used a “figure harness” to control the weaving pattern.

The drawloom required two operators to control the machine.

Although till 1801, punch cards were only used for individual weaving, Jacquard decided to use perforated papers with the mechanism, because he found that though being intricate, weaving was mechanical and repetitive.

Working

In the most basic form, a weaving design is made by passing onethread over another.

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In a patterned weave, the threads crossing each other are not synchronized by equal blocks but are changed according to the required pattern.

A weaver controls the threads by pulling and releasing them.

When Joseph Jacquard came up with the idea of a loom, the fabric design in it was first copied on square papers.

This design on the square was translated into punch cards. These cards are stitched together in a continuous belt and fed into the loom.

The holes in the card controlled which threads are raised into the weaving pattern.

This automation allowed Jacquard to make designs and produce them again at lesser costs. Keeping this bunch of cards helped to reproduce the same design repeatedly with perfection on the same or another machine.

“Visualizing” the concept of using these punch cards to calculate, Charles Babbage described using them for the analytical engine.

In 1883, Charles Babbage was introduced to ayoung brilliant mathematician, Ada, who later became Countess of Lovelace, byher tutor.

He was impressed with Ada’sanalytical skills and invited her to look the difference engine, which fascinated her.

This formed the basis of a lasting friendship that continued until her death.

Ada Lovelace – The first programmer

Born to British poet Lord Byron and Annabella Milbanke, Augusta Ada Byron married William King-Noel, who was the first Earl of Lovelace.

Ada was a natural poet who found mathematics poetic.

Growing up, Ada’s education and her families’ influential presence got her in touch with a few prestigious innovators and literary figures of her time.

While studying mathematics, her tutor Mary Somerville introduced her to Charles Babbage, who, after his work on the unsuccessful Difference Engine, was working on an ambitious project of a machine which could solve any complex mathematical function (the Analytical Engine).

What you see below is a caricature image of the Analytical Engine as proposed by Charles Babbage.

The important parts of this engine still constitute our modern computers.

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Part 1 – The Store, was what we now call Hard disk or memory

Part 2 – The Mill, was what we now call Central Processing Unit (Mill where the churning or production is done)

Part 3 – Steam engine, which would be the source of energy

Ada, impressed by the theory and concept of the Analytical Engine, decided to work with Charles Babbage onthe construction of the engine.

During her study of the Analytical Engine, she wrote a series of notes which explained the difference between a Difference Engine and an Analytical Engine.

She took up Bernoulli number theory and built a detailed algorithm on the process of calculating Bernoulli numbers using an Analytical engine which was demonstrated in Note G of her article shown below.

This made her the first programmer in the world. (This is disputed.)

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Though her notes were never accepted, and as there was no funding or investment to back Charles Babbage’s fantastic idea, the analytical engine was never completed.

Here is a simple C++ program to the algorithm developed by Ada Lovelace in her lengthy notes:

// bernoulli_distribution
#include <iostream>
#include <random>

int main()
{
  const int nrolls=10000;

  std::default_random_engine generator;
  std::bernoulli_distribution distribution(0.5);

  int count=0;  // count number of trues

  for (int i=0; i<nrolls; ++i) if (distribution(generator)) ++count;

  std::cout << "bernoulli_distribution (0.5) x 10000:" << std::endl;
  std::cout << "true:  " << count << std::endl;
  std::cout << "false: " << nrolls-count << std::endl;

  return 0;

Charles Babbage declined both the title of Knighthood and baronetcy and instead asked for a life peerage, but that wish wasn’t granted in his lifetime.

He died in 1871 ate the age of 79. Ada Lovelace died at the young age of 36 in 1852.

Her contribution to computer science for having come up with the “first” algorithm still remains one of the greatest controversies in technology history.

You can read one such article here.

Irrespective of these facts, their contribution to the field of computer and programming cannot be ignored.

A super calculator which would be able to solve any mathematical problem and a device which would have the ability to think of ways to approach a problem is what Charles Babbage and Ada Lovelace thought of; this was the founding stone of the first programmable computer.

In the next article, we will discuss the use of Punch Cards and how with all technological developments in Europe, the USA got the first computer!

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What Gen Z Expects From HR Leaders in 2026

What Gen Z Expects From HR Leaders in 2026

Introduction

Gen Z is entering the workforce with a very different perspective on work, leadership, and career growth.

Unlike previous generations, they are not just evaluating salary packages or job titles. They are paying closer attention to workplace culture, flexibility, transparency, learning opportunities, and overall employee experience.

For HR and Talent Acquisition leaders, this shift is changing how organizations attract, engage, and retain talent.

Having entered the workforce during a period of rapid workplace transformation, Gen Z values authenticity over polished corporate messaging and meaningful experiences over traditional corporate structures.

Employer Branding Is Now About Experience

Employer branding today is no longer defined only by career pages or company values.

Gen Z pays attention to how recruiters communicate, how transparent the hiring process feels, and how employees speak about the company publicly.

For Talent Acquisition teams, recruitment is no longer just a hiring function. It has become a reflection of workplace culture itself.

Candidates today value clear communication, transparency, honest conversations around growth, and personalized experiences throughout the hiring journey.

This is also why skill-based hiring and fair evaluation processes are becoming more important for modern organizations.

Gen Z Values Authenticity

One of the biggest shifts HR leaders are noticing is that Gen Z values honesty far more than polished corporate narratives.

They want realistic conversations around career growth, workplace expectations, compensation, and learning opportunities.

Interestingly, they do not expect organizations to be perfect. What they expect is transparency and authenticity.

Younger employees quickly recognize when workplace messaging feels disconnected from reality. Organizations that communicate openly tend to build stronger trust and credibility with Gen Z talent.

Career Growth Looks Different Today

Traditional career growth models were designed around long timelines and annual reviews.

But Gen Z expects growth to feel continuous.

Instead of waiting for yearly discussions, employees want faster feedback, ongoing learning, mentorship opportunities, and clear visibility into growth from the beginning of their journey.

This means career development is no longer just part of appraisal cycles. It is becoming an everyday part of the employee experience.

Organizations investing in learning, internal mobility, and skill development are more likely to keep younger employees engaged.

Flexibility Is About Trust

For Gen Z, flexibility is no longer viewed as a workplace perk.

It is an expectation.

But flexibility goes beyond remote or hybrid work. It also includes autonomy in how employees manage work and productivity.

At its core, flexibility has become a question of trust.

Gen Z values workplaces where managers focus on outcomes instead of constant visibility or monitoring. For HR leaders, this means flexibility cannot exist only in policies. It must also exist in leadership behavior and workplace culture.

Well-Being Is Part of the Work Experience

For Gen Z employees, mental well-being is not a separate HR initiative.

It is part of the everyday employee experience.

They are quick to notice the gap between organizations talking about wellness and employees actually feeling supported.

This means HR teams need to think beyond wellness campaigns and focus more on how work itself is designed and managed.

Because employees do not experience policies. They experience culture every single day.

Final Thoughts

Gen Z is not simply changing workplace expectations. They are challenging organizations to rethink how modern work should actually function.

For HR and Talent Acquisition leaders, this creates an opportunity to build more transparent, flexible, and people-focused workplaces.

The organizations that will attract and retain Gen Z talent successfully are not necessarily the ones with the loudest employer branding or trendiest benefits.

They are the ones building cultures based on trust, authenticity, flexibility, growth, and meaningful employee experiences.

Remote, Hybrid, or Office? What Actually Works and Why

Remote vs Hybrid vs Office: What Actually Works in 2026?

Introduction

Somewhere between “you’re on mute” and badge-swiping back into office buildings, work didn’t just change, it split into choices.

Remote work. Hybrid work. Office-first culture.

Policies were rewritten again and again, but one question still dominates HR and Talent Acquisition conversations:

Are organizations building work models that genuinely improve productivity, employee experience, and retention, or simply reacting to pressure from leadership, candidates, and competitors?

The truth is, there’s no universal answer.

The Myth of the Perfect Work Model

Over the last few years, companies have learned that no single workplace model works for everyone.

Organizations that embraced fully remote work gained access to wider talent pools and improved flexibility. But many also struggled with collaboration gaps, communication fatigue, and weaker cultural connection.

Meanwhile, strict return-to-office policies brought structure and in-person collaboration back, but often at the cost of employee satisfaction and retention.

Hybrid work quickly became the middle ground. Yet in practice, hybrid is often the hardest model to execute well because it demands balance, consistency, and intentional leadership.

The real question isn’t whether remote, hybrid, or office is better.

It’s: What outcome is the organization trying to optimize for?

What HR Leaders Are Seeing

HR teams across industries are noticing a shift in how people work and what employees value.

Remote hiring has dramatically expanded access to talent beyond geographical boundaries. Talent Acquisition teams can now hire specialized talent faster and from more diverse locations.

At the same time, office environments still play an important role in onboarding, mentorship, and early-career learning. Informal conversations, quick collaboration, and day-to-day exposure are still difficult to replicate virtually.

Hybrid models try to combine both advantages, but they also introduce challenges like proximity bias, where employees who spend more time in the office often receive greater visibility and growth opportunities.

This raises an important question for HR leaders:

Are workplace policies rewarding performance or simply physical presence?

What Candidates Actually Want

Candidates today are not just choosing jobs anymore. They’re choosing lifestyles.

For many professionals, remote work represents flexibility, autonomy, and better work-life balance. For others, especially younger professionals, office environments provide structure, mentorship, and stronger human connection.

What’s interesting is that candidate preferences are becoming more nuanced.

Someone may prefer remote work but still choose a hybrid role if it offers stronger career growth. Another candidate may prioritize flexibility over compensation altogether.

For Talent Acquisition teams, this changes everything.

Work models are no longer just operational policies. They’ve become part of the employer value proposition.

Culture Is More Than a Workplace

There’s a common belief that culture only exists inside offices.

But culture isn’t tied to a physical location. It’s shaped through communication, trust, leadership, and shared experiences.

Organizations that succeed with remote work usually focus on clear communication, strong documentation, and outcome-based performance management rather than constant visibility.

Meanwhile, companies succeeding with office-first models are redefining what offices are actually meant for: collaboration, creativity, and connection instead of simply showing up at a desk.

Because if employees are commuting only to spend the day on virtual meetings, the office experience loses its purpose.

What Actually Works?

The organizations getting workplace strategy right are not obsessing over whether remote, hybrid, or office is superior.

Instead, they are focusing on intentionality.

They listen closely to employee behavior and outcomes, not just survey responses. They treat work models as evolving systems instead of fixed policies. Most importantly, they align workplace strategy with business goals and employee needs simultaneously.

That’s where the real difference lies.

Final Thoughts

The future of work isn’t remote, hybrid, or office-first.

It’s intentional, adaptable, and human-centered.

The companies that understand this won’t just attract better talent, they’ll build stronger cultures, healthier teams, and more sustainable workplaces for the future.

5 Habits That Make You Stand Out at Work

5 Habits That Make You Stand Out at Work

Standing out at work is not always about doing more. In many cases, professional success comes down to how you think, communicate, and respond under pressure.

Employees who consistently stand out in the workplace are often the ones who remain calm in difficult situations, communicate with clarity, and bring thoughtful input into conversations. These workplace habits build trust, improve leadership presence, and create long-term career growth opportunities.

The good news is that these are not natural talents reserved for a few professionals. They are habits that can be practiced, improved, and strengthened over time.

For professionals looking to improve workplace communication skills, leadership qualities, and career development, the following habits can make a significant difference.

1. Pause Before You React

One of the most important professional habits is learning how to respond calmly instead of reacting instantly.

When something goes wrong at work, the natural instinct is often to answer immediately. However, fast reactions do not always lead to effective communication or strong decision-making.

Taking a moment to:

  • Understand the situation
  • Gather context
  • Process information carefully
  • Think through your response

can help professionals communicate more clearly and avoid unnecessary confusion.

In high-pressure workplace environments, calm responses often leave a stronger impression than rushed reactions.

Professionals who stay composed during stressful moments are frequently seen as more reliable, emotionally intelligent, and leadership-ready.

2. Give Yourself Time to Think

Not every workplace question requires an instant answer.

Saying:

“Let me think about that.”

can actually make you sound more confident and thoughtful.

This simple communication habit shows that you value clarity and accuracy instead of speaking just to fill silence.

In:

  • Team meetings
  • Leadership discussions
  • Job interviews
  • Client conversations
  • Stakeholder presentations

taking time to think can improve both the quality of your response and the way people perceive your judgment.

Strong professionals are often recognized not for how quickly they respond, but for how thoughtfully they process information and communicate ideas.

This is a critical workplace communication skill that improves professional credibility over time.

3. Get Comfortable With Silence

Silence makes many people uncomfortable.

As a result, professionals often rush to fill every pause during meetings, interviews, or conversations.

But silence can actually improve communication effectiveness.

A short pause gives you time to:

  • Organize your thoughts
  • Deliver stronger responses
  • Improve clarity
  • Communicate with more intention
  • Reduce unnecessary overexplaining

Professionals who are comfortable with silence often appear:

  • More composed
  • More self-assured
  • More confident under pressure
  • Better at executive communication

especially in high-stakes professional situations.

Learning how to stay calm during silence is an underrated but valuable professional development skill.

4. Ask One Thoughtful Question

You do not need to speak the most to stand out at work.

Sometimes, one thoughtful question creates more impact than a long explanation.

Thoughtful questions can:

  • Reveal blind spots
  • Improve team discussions
  • Encourage strategic thinking
  • Demonstrate leadership potential
  • Show strong critical thinking skills

Employees who ask meaningful questions are often viewed as more engaged, analytical, and solution-oriented.

This is one of the fastest ways to leave a memorable impression in workplace conversations and professional meetings.

Strong leaders are not only recognized for giving answers.

They are also recognized for asking the right questions.

5. Keep Your Communication Clear and Concise

One of the most valuable workplace skills is clear and concise communication.

Overexplaining can weaken even strong ideas.

Professionals who stand out in the workplace are often the ones who communicate with structure, simplicity, and clarity.

They focus on:

  • What matters
  • Why it matters
  • What action is needed

without adding unnecessary complexity.

Clear communication improves:

  • Workplace collaboration
  • Leadership presence
  • Team alignment
  • Professional confidence
  • Decision-making conversations

In modern workplaces, communication skills are often just as important as technical expertise.

The ability to explain ideas clearly is a major differentiator for career growth and leadership development.

Why These Workplace Habits Matter

These habits sound simple, but they become difficult to apply when the pressure is real.

In:

  • Job interviews
  • High-pressure meetings
  • Leadership conversations
  • Workplace conflict situations
  • Client presentations

people often rush, overtalk, or respond before fully thinking through the situation.

That is why practice matters.

Professional communication skills improve through repetition, structured feedback, and realistic practice environments.

Employees who consistently practice these habits often become more confident communicators and stronger workplace contributors over time.

Practice Before the Pressure Is Real

If you want to improve how you think and communicate under pressure, you need opportunities to practice those moments before they actually matter.

HackerEarth OnScreen (AI Interviewer) helps professionals build workplace communication skills, interview confidence, and structured thinking through realistic AI-led interview experiences.

The platform helps professionals:

  • Practice answering questions clearly
  • Improve communication under pressure
  • Structure thoughts effectively
  • Build interview confidence
  • Develop executive communication skills
  • Get comfortable with pauses and silence
  • Improve professional speaking habits

It is not only designed for interview preparation.

It also helps professionals strengthen the workplace habits that improve career growth, leadership readiness, and communication confidence.

👉 Try HackerEarth OnScreen and practice the habits that help you stand out when it matters most.

Final Thought

Standing out at work is not about being the loudest person in the room.

It is about being:

  • Thoughtful
  • Clear
  • Calm under pressure
  • Confident in communication
  • Intentional in your responses

Professionals who consistently develop these habits often build stronger workplace relationships, better leadership presence, and long-term career success.

And the more you practice these habits, the more naturally they appear in the moments that shape your professional growth and career opportunities.

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