The interview to code measured
LeetCode tested how you code alone. We test how you code with AI. Built Different.
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Coding with AI.
Tested, measured, proven.
1# django/django · medium2issue: UsernameValidator allows3 a trailing newline4commit: 4b3c7f1 (pre-fix)5tests: 14 hidden, none visible
Both sides of the table.
See how they work, not just what they shipped.
Send one link. Get back a graded patch and a minute-by-minute record of how the candidate actually used an AI agent to get there.
Get on the waitlist- Invite links with a token budget and time limit, no scheduling
- Hidden-test grading, so outcomes are computed and not argued
- Prompt quality, spend and verification habits side by side
- Integrity flags with evidence, reviewed by a human
Not a demo. The real thing.
The live assessment
A full browser IDE with an AI coding agent, a timer, a token budget and one-click test runs. This is a real round in progress.
The process report
Score with evidence, token economics, prompt log and a minute-by-minute timeline. This is what your hiring team reads.
The task bank
300 real GitHub issues from the SWE-bench benchmark, checked out at the exact failing commit.
Everything you need. Nothing you don't.
Every prompt recorded
The whole human and agent conversation is captured and scored for specificity, context and decomposition. Nothing is self-reported.
Scores with evidence
Six weighted dimensions, and every one lists the observations that produced it. You can argue with the evidence, not just the number.
Time-based replay
A minute-by-minute timeline of the round: prompts, agent steps, test runs, focus changes. See exactly when and how they worked.
Economics, not vibes
Tokens, spend, verification cadence and error loops on one line. The cheapest correct engineer is visible immediately.
Numbers you can actually act on.
Every challenge is a real GitHub issue checked out at the exact failing commit. Nothing is a puzzle written for an interview.
Prompts, tool calls, tokens, cost, test runs, focus changes, paste provenance. Compare that to a pass or fail on a whiteboard.
Outcome, prompt quality, token economy, verification, speed, recovery. Each one ships the evidence that produced it.
"We replaced our final LeetCode round with an PraxisAI assessment. The replay told us more in ten minutes than three whiteboard interviews ever did."
Sara Khan
Head of Engineering, Northbeam Labs
3 rounds replaced by 1
Trusted by forward-thinking teams
Simple, transparent
pricing
Invite only while we onboard in batches. Pricing applies once you are in.
Practice
For engineers proving their AI fluency
- 2 practice sessions per month
- Bring your own API key
- Sample task bank
- Basic score breakdown
- Personal score history
Pro
For serious candidates and teams in training
- Full 300-task SWE-bench bank
- Bundled AI token allowance
- Full session replay
- All 6 scored dimensions with evidence
- Shareable score card
- Priority environments
Hiring teams
Per-assessment pricing, no sales call required
- $50 per completed assessment
- Invite links with budgets and time limits
- Hidden-test grading
- Full process report and replay
- Side-by-side candidate comparison
- Integrity flags with evidence
- Volume and enterprise tiers available
All plans include automatic updates, HTTPS, and DDoS protection. Compare all features
Get on the list.
Every assessment spins up a real cloud environment with a real agent, so we onboard in small batches. Leave your email and we will send an invite.
Join 684 people waiting for access
Hiring for a team? so we can prioritise your invite.
Questions we get asked
Do candidates know they are being recorded?
Yes, explicitly. The session brief and our terms state exactly what is captured before a round starts, and there is no unmonitored mode. Consent is the design, not a checkbox.
Can a candidate just let the AI do everything?
They can try, and the report will show it. Outcome is graded against hidden tests the candidate never sees, and accepting unverified output tanks the verification score. Letting the agent drive without checking its work is the failure mode we measure.
How do you stop someone from cheating?
The telemetry is the proctoring. Paste provenance, focus loss, prompt cadence and budget abuse are flagged with evidence for a human to review. We never auto-fail on a flag.
Are the tasks public? Could someone memorise the answers?
The task bank is derived from a public benchmark, so we treat contamination as a first-class problem: hidden tests are rewritten, tasks rotate, and mutated variants are on the roadmap before any large-scale rollout.
Can I use this to practice, not just to be assessed?
Yes. Engineers can run the same real tasks on their own and read their own report afterwards: prompt quality, token spend, verification habits, recovery. Practice reports are private to you, and nothing is shared with a company unless you were invited by one.
What does a round cost us?
Fifty dollars per completed assessment on the pay-as-you-go tier, with volume tiers below that. No seat licence and no sales call to get started.
Which agent do candidates use?
A full VS Code environment with an agentic coding assistant, timed and token budgeted. Support for additional agents is on the roadmap so a candidate is never scored on tool familiarity alone.
Stop screening for
2015 skills.
Join thousands of teams shipping faster with PraxisAI. Invite only, for now.
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