Product understanding
Can they turn a messy product ask into a sensible plan, scope, tradeoffs, and implementation path?
AI-native work trials
Stop hiring for whiteboard memory. Test how people actually build now.
Patchlane replaces live coding rounds with realistic, async product tasks in a hosted dev workspace. Candidates plan, build, test, use AI, commit work, and leave a complete evidence trail for reviewers.
The old signal is fading
DSA puzzles are a narrow proxy for a much bigger job.
What most platforms still test
Recall, speed under observation, LeetCode fluency, and how calmly someone performs while a human watches.
What modern teams need to know
Can this person take a real product problem, collaborate with AI, navigate an app, ship a maintainable change, and prove it works?
Where humans should spend time
Reviewing evidence, calibrating judgment, and making hiring decisions. Not sitting through another live coding screen.
What Patchlane scores
The assessment is the work loop.
The best signal comes from watching the whole loop: intent, plan, build, verify, debug, communicate. Not one isolated coding trick.
AI collaboration judgment
Can they use coding agents productively without shipping hallucinated, unreviewed, or brittle work?
Codebase navigation
Can they read an unfamiliar app, find the right seams, and make changes without wrecking adjacent behavior?
Debugging discipline
Can they inspect failures, form hypotheses, validate fixes, and keep a useful trail of what happened?
Testing and evals
Can they add practical checks that prove the feature works and catch the mistakes AI tends to make?
Production readiness
Can they consider reliability, edge cases, accessibility, security, and maintainability before calling it done?
No live interviewer required
Give candidates a real workspace. Get reviewers a real decision packet.
01Paste a JD or role brief
02Generate a realistic task
03Invite candidates by email
04Candidate builds in a hosted workspace
05Every commit can trigger evals
06Review the evidence-rich report
Evidence over vibes
A reviewer report that explains the hire/no-hire call.
Each attempt produces a PDF-ready scorecard with candidate details, role, section scores, tests, hidden evals, commits, AI collaboration traces, timeline, proctoring events, and reviewer override.
Candidate name, email, position Section-by-section performance Clear hire recommendation
CandidateRiya SharmaProduct engineer · AI workflow assessment
Lean no hire68overall score
Visible tests6/7 passed
Hidden evals1/2 passed
AI session trailcaptured
Commits4 checkpoints
Reviewer verdictlean no hire
Pricing
Price per assessment, not per seat.
Patchlane charges one assessment credit when a candidate starts the timed workspace. Invitations are free; the credit covers infrastructure, AI coding access, evals, proctoring capture, artifacts, and the reviewer report.
Free trial
$05 started assessments included
Start with 5 free assessments- Magic-link candidate invites
- Hosted OpenCode workspace
- Automated evals
- PDF-ready reviewer report
Pay as you go
$59per started assessment
Buy assessment credits- Daytona devbox included
- DeepSeek OpenCode budget included
- Proctoring recording included
- Report emailed to reviewers
Volume
$39-$49per assessment in prepaid packs
Talk to sales- 50+ assessment packs
- Role-based task generation
- Reviewer seats
- ATS and retention controls
Hiring for the AI era should feel closer to a trial project than a trivia night.
Patchlane gives candidates room to show real judgment and gives hiring teams structured evidence without burning interviewer hours.
Start with 5 free assessments Sign in to dashboard