Coding assessment engine
The coding interview that actually proves they can code.
A real editor, real test cases, ten real languages. No HackerRank integration required, no extra invoice, no separate login — built into every Paraakh exam and assessment pipeline.
Monaco editor 10 languages Hidden tests Real-time exec
solution.py tests.txt PYTHON
1 def reverse_list(arr):
2 return arr[::-1]
3
4 # run sample tests
5 print(reverse_list([1, 2, 3])) Test cases 4 / 5 passing
Sample 1: [1,2,3] [3,2,1] 12 ms
Sample 2: [] [] 8 ms
Hidden 1: [5,5,5] [5,5,5] 11 ms
Hidden 2: [1..10⁴] [10000..1] 84 ms
Hidden 3: [1..10⁶] Time limit exceeded TLE
Ten languages, one engine
Test what they'll actually build in.
Same editor, same test runner, same scoring — across every language your team writes.
What's in the engine
Eight things that make a coding screen defensible.
Monaco editor
The same editor that powers VS Code — syntax highlighting, autocomplete, multi-cursor, find-and-replace. Candidates get a real editor, not a textarea.
Hidden test cases
Candidates can't see the expected outputs that decide their score. No gaming by reverse-engineering the assertions.
Open sample tests
Per-question sample tests the candidate can run to validate their approach before submitting.
Custom input runs
A scratch input box for debugging — paste in any input, run, see the output. Encourages real engineering hygiene.
Function-based challenges
Function metadata (name, params, return type) and idiomatic starter code per language — no boilerplate-juggling to test the actual skill.
Per-test limits
Configurable time and memory limits per test case. Catch O(n²) solutions on the right data sets — automatically.
Real-time feedback
Live execution progress via WebSocket — each test case ticks green or red as it runs, with stdout, stderr, and runtime.
Submission history
Every run saved with timestamps. Candidates mark a submission as final, you see every attempt that led there.
Don't have a coding question bank?
Generate full coding problems with AI.
Starter code per language, sample tests for the candidate, hidden tests for scoring — generated, validated, and ready to ship in seconds. Reviewed by you before any candidate sees them.
See AI question generation → AI-GENERATED
Two-pointer · medium
- Starter code · Python, Java, JS, C++
- Sample tests · 3 visible cases
- Hidden tests · 8 edge-case cases
- Time limit · 200 ms · 256 MB
- Quality score · 94 / 100
Where it fits
Built into every assessment, not bolted on.
Use as a round in a multi-stage pipeline — Paraakh advances only the candidates who pass the coding cut-off.
See the hiring pipeline →A coding section inside an exam blueprint — sectioned timing, mixed with MCQ, proctored end-to-end.
See secure exams →Every student writes real code under proctoring. Per-student question sets prevent paper leakage between batches.
See Paraakh Campus →Validate architecture, API, and security knowledge with hands-on coding before allocating someone to a client engagement.
See Comply → Real code, real signal
Pick a problem. Watch a candidate solve it live.
Bring a coding problem — or let us generate one — and we'll show you the editor, the test runner, and the result that lands in your shortlist. Eight minutes, real product.