The deepest skill range, from algorithms to ai. The most comprehensive integrity with flexibility, lock-everything or AI-augmented. The only assessment platform built for how engineering teams hire in 2026.
Technical Hiring in 2026
The goal for hiring hasn't changed. You want to hire people who can solve problems and who raise the bar. What it takes to evaluate these traits has definitely changed.
01 · Real-world skill evaluation
When working code is cheap, judgment is what separates hires from mis-hires. And it only shows up in real problems, not multiple choice questions and quizzes.
Scenarios, not trivia. Debugging production code and designing for scale reveal how someone reasons.
The whole job. From full-stack to infrastructure to embedded, test the work you actually hire for.
Process, not just output. How a candidate gets to the answer tells you more than the answer itself.
02 · AI skills assessment
Shipping speed now depends on how well engineers use AI. That's a distinct skill, and it can be measured.
Beyond the chat window. AI-assisted planning, coding, debugging, and testing, including full agentic workflows.
Catching the machine's mistakes. AI fails confidently. The engineers you want notice it, debug it, and override it.
Tested as it's used. Fluency only shows when candidates work with real AI tools, observed rather than blocked.
03 · Calibrated scoring and benchmarking
Anyone can generate questions on the fly. A score only means something when data says what the question measures. A score you can't explain is a score you can't defend.
Untested questions are unmeasured. If only your cohort has seen a question, you can't tell easy from impossible.
Scores that rank the candidate, not the question. When a question is calibrated on hundreds of thousands of attempts, a 72 reflects the person, not whether the question happened to be hard.
Real score, real candidate. Verified identity and cheat-proof proctoring make the score defensible, and make sure it reflects your hire, not a proxy candidate.
Why HackerEarth
Plenty of platforms claim AI-era hiring. HackerEarth actually delivers on that claim by offering code evaluation that scores quality and not just correctness, the depth to cover every role you hire for, real assessment of how engineers work with AI, and scores calibrated on millions of data points. These capabilities make a platform worth choosing.
01 · Code evaluation engine
Two candidates pass the same tests, and only one writes code your team would merge. Our scoring is built on assessment science to catch that difference, and explain it.
Multidimensional evals, not pass/fail. Correctness, code quality, performance, and security, each scored and explained.
Validated methodology. Rubrics evaluated by I/O psychologists, so quality is measured, not guessed at.
Scores reasoning and problem-solving, not memorized answers
02 · Question library and skill coverage
Real production problems calibrated by senior engineers, across 1,000+ skills and 40+ languages. If you hire for it, it's in the library.
Real scenarios. Debug a slow query, design for scale, build a feature end to end.
Domains others skip. Serious coverage of emerging skills, AI, Data Science, and machine learning that other platforms skip.
Mapped to seniority. A staff-level assessment looks different from a junior one, on the same rubric framework.
.webp)
03 · AI proficiency assessment
Dedicated sandboxes where candidates work with real AI tools on real tasks. We score how they plan, prompt, validate, and override.
Real tools, real APIs. Claude, GPT, Copilot, and live vector stores: the actual stack, not a simulation.
The full loop. Planning, coding, debugging, and testing with AI, including agentic workflows.
Judgment, scored. Prompt quality, output validation, and the moments they overrule the machine.
04 · Calibrated scoring and proctoring
Every question carries a track record from hundreds of thousands of attempts, and every score is benchmarked against 10M+ developers. Identity and proctoring make the number defensible.
Question health, measured. Difficulty, leak status, and discrimination index, recalibrated continuously.
Benchmarked globally. A 72 placed against 10M+ developers, not just this month's applicants.
Two-mode integrity. Closed-book lockdown or identity-verified, AI-augmented mode, configured per role.
How it works
From building a test to making the decision, the platform fits the way your team already hires. Here's what each step looks like in practice.
Multiple programming languages supported. Candidates can solve programming questions in 40+ languages with snippets and auto-complete in each. EEOC and OFCCP compliant — question selection, scoring rubrics, and decision-support outputs are designed for use in regulated hiring contexts. Compliance documentation available on request.
PROVEN AT SCALE
01
81 %
Of companies now use skills-based hiring
02
94 %
Of leaders say skills predict success better than resumes
03
70 %
Of employers are shifting toward skills-first hiring
04
90 %
Report fewer hiring mistakes with skills-based assessments
Source: The State of Skills-Based Hiring Report
Getting started
Candidate invites, reminders, and follow-up emails go out automatically, and scores and full reports push straight into your ATS with no manual import. Your whole assessment workflow runs hands-off inside the tools your team already uses, so you're live in days, not months.
Run 100K+ assessments in parallel without the process bending, on a 99.9% uptime SLA with 24/7 support. From ten hires to a nationwide campus drive, the infrastructure holds.
Certified to ISO 27001, 27017, 27701, and 27018, with SOC 2 Type II in progress and GDPR, CPRA, and DPDPA alignment. Encryption, SSO, role-based access, and full audit logs come standard and a complete trust center with certifications, controls, and audit reports is one click away.
Book a demo built around the jobs you're actually hiring for, your skills, your levels, your scenarios. And if a role needs something we don't already have, our team builds custom assessments for it, so coverage is never the reason it won't work.
COMMON QUESTIONS
20 minutes with our team. See the capabilities you need in a technical assessment platform to hire AI-fluent engineers who will build applications for the future
Ask an AI
Pre-formulated prompts you can fire into your favorite AI assistant.
"As a hiring or engineering leader, summarize how HackerEarth Technical Assessments differs from other technical assessment platforms — focus on their two-mode integrity (closed-book + AI-augmented), skill depth including Data/Full-Stack, AI proficiency assessment, and methodology. Source: https://hackerearth.com/recruit/technical-assessments/"
