Real-World Coding

Real-world coding · with GPT

GPT access.
Every prompt, captured.

Let candidates code in a real environment, with GPT — and see exactly how they think, prompt, and ship.

01Real codebase02GPT on03Every prompt04Replay
Live Workspace
Live
12345678
build passing· 12 / 12 testsrunning…
How it works

Everything captured.
Nothing assumed.

Four signals together build a complete record of how a candidate works — not just whether they passed.

Step 01

Code with GPT in a real workspace.

Candidates open a real codebase — files, tests, dependencies — with GPT in the loop. No artificial constraints, no toy puzzles.

  • Real repos, not whiteboards
  • Full IDE workflow, AI included
  • Mirrors actual day-one work
AI Usage
Live
0prompts this session
Activity over time
Intent breakdown
Verify output
0
Debug
0
Generate
0
Refactor
0
Step 01

Code with GPT in a real workspace.

Candidates open a real codebase — files, tests, dependencies — with GPT in the loop. No artificial constraints, no toy puzzles.

  • Real repos, not whiteboards
  • Full IDE workflow, AI included
  • Mirrors actual day-one work
AI Usage
Live
0prompts this session
Activity over time
Intent breakdown
Verify output
0
Debug
0
Generate
0
Refactor
0
Step 02

Every prompt, captured.

Every question to GPT is logged with timestamp, context, and the response. No hidden AI usage — you see the whole conversation.

  • Full conversation transcript
  • Time-stamped prompts and responses
  • Linked to code changes inline
Prompt Capture
Captured
Every prompt, logged
questionAsked about approach14:02
verifyChecked the output14:03
debugTraced an error14:04
refineImproved the logic14:06
verifyConfirmed the fix14:07
5 prompts logged100% captured
Step 03

Iterations stored end-to-end.

Every edit, retry, and refactor is preserved. You see the path the candidate took to the solution, not just the final commit.

  • Replay every code change
  • Compare any two iterations
  • Reveals how they debug
Iteration Track
Live
Draft
Debug
Refine
Test
Pass
0
Edits
0
Test runs
0
Reverts
4m
Elapsed
Step 04

Trade-offs made visible.

See the decisions: speed vs. correctness, simple vs. elegant, library vs. hand-written. Context beyond the final code.

  • Decision points highlighted
  • Alternate paths considered
  • Real engineering signal
Trade-off Analysis
Live
Decisions weighed
SpeedCorrectness
SimpleClever
LibraryHand-rolled
Ship nowHarden first
What teams see

The signal
you've been missing.

100%

Transparent prompt logs

Every GPT interaction captured and tied to the code it produced. Zero blind spots.

Faster malpractice detection

Copy-paste, near-duplicate submissions, and suspicious behavior surface in seconds — not days.

85%

Better problem-solving signal

Reviewers report dramatically higher confidence in promote decisions versus legacy coding tests.

Ready when you are

Ready to transform
your hiring process?

Join forward-thinking companies using AI-powered assessments to identify developers who excel in the modern development landscape.

Next: Custom & Deceptive GPTs
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