AI-native technical hiring

Only interview people who can actually do the job.

skilledcoder.ai has candidates do real work on a real codebase with AI, then shows you exactly how they think and confirms the work is genuinely their own. Every name on your shortlist comes with proof.

See how it works

You stay in control of every decision.

skilledcoder.ai/report
Evaluation report
Candidate 1042
Backend Engineer, Go
Strong hire
87/ 100
Technical depth88
Problem understanding84
AI collaboration only we measure this74
Directed the AI well and caught its mistakes. Strong instincts for verifying its work.
Integrity verified Low risk confirmed as their own work
Ranked shortlist
1
Candidate 1042
Strong hire
87
2
Candidate 0917
Strong hire
83
3
Candidate 1188
Lean hire
78
4
Candidate 0642
Lean hire
71
5
Candidate 1305
Lean hire
69
24h
to a ranked shortlist
0
engineering hours to screen
100%
of the work graded and proven
Why now

The old ways of screening no longer work

AI changed how engineers build. It also broke the tests you use to hire them.

Take home

Finished in minutes

A candidate hands the task to AI and submits clean code. You learn nothing about how they think.

Coding puzzles

Anyone can rehearse

Puzzles far from the real job, solved by the same AI you are screening against.

Resume screen

Everyone looks alike

Every resume is AI polished. Finding real signal costs hours per candidate.

How it works

From real work to a shortlist you can trust

Three steps. No interviewer hours until the very end.

1

Candidates do the real job

Each candidate works with AI on your actual codebase, solving a task that mirrors the day to day. Not puzzles anyone can rehearse.

  • Your codebase, not a sandbox toy problem.
  • AI included, the way engineers really work.
skilledcoder.ai/attempt
Explorer
src
pool.go
worker.go
queue.go
metrics.go
main.go
pool.go
18func (p *Pool) incr() {
19  p.mu.Lock()
20  p.count++
21  p.mu.Unlock()
22}
23
24// workers increment concurrently
✦ AI Agent
You
pool.go : 20
Guard the shared counter so concurrent workers can't corrupt it.
AI Response
Added a mutex around the counter write to remove the data race.
+ Proposed change
pool.go+2-1
RejectApply change
Ask AI... @ to reference a file
skilledcoder.ai/attempt/replay
Candidate instruction10:24
Fix the race in the worker pool by guarding the shared counter.
Proposed change - pool.goAccepted
-p.count++
+p.mu.Lock(); p.count++; p.mu.Unlock()
Candidate instruction10:31
Actually, use atomic.AddInt64 instead. It reads cleaner.
Proposed change - pool.goRewound
2

We capture and grade the whole session

Every prompt and every change is recorded, then graded for depth, understanding, and how well the candidate works with AI. Authenticity is verified the entire time.

  • Full replay, so you see the thinking, not just the result.
  • Verified authorship, so a strong score is a real one. Identity and environment are checked continuously, never as a gotcha.
3

You get a ranked shortlist, with proof

Within 24 hours you have a clear ranking, each candidate backed by a detailed report and a risk score. You spend your time only on people who can actually do the job.

  • Ranked and scored, ready to interview.
  • Proof on every name, so you decide with confidence.
skilledcoder.ai/report
Evaluation reportStrong hire
87/ 100
Technical depth88
AI collaboration74
Before and after

The same hiring pipeline, rewritten

Read it the way we grade it. Old lines out, better lines in.

technical-hiring.diff
-Hundreds of AI-polished resumes you cannot tell apart
-Coding puzzles solved by the same AI you screen against
-Roughly three engineering hours spent on every candidate
-Weeks of scheduling before anyone real is in the room
-A verdict you cannot fully stand behind
+A ranked shortlist of people who can actually do the job
+Proof of real skill on a real codebase, with AI
+Zero engineering hours spent on screening
+A ranked shortlist within 24 hours
+A detailed report and risk score on every candidate
+Every result verified as the candidate's own genuine work
65+
assessments completed
50+
engineering hours already saved
20%
of candidates could meet the bar
Pricing

Prepaid assessment blocks

Pay for what you run. No seats and no lock in. Every block ships the full product, so you only pay more for volume.

Proof
$1,000
$20 per assessment
  • Assessments50
  • Validity30 days
  • SupportStandard
Most popular
ScaleSave 20%
$8,000
$16 per assessment
  • Assessments500
  • Validity6 months
  • SupportPriority
CustomBest rate
Let's talk
Volume pricing
  • Assessments1,500+
  • ValidityAnnual
  • SupportDedicated
Every block includes
  • Real codebase assessments, generated per role
  • In workspace AI with metered usage
  • Camera proctoring and agent detection
  • Work trail replay on every submission
  • Ranked shortlist and full candidate reports

All prices in USD and exclude taxes. An assessment is counted once a candidate starts it.

Get started

See how your next hire really builds

Give every interview slot to someone who has already proven they can do the work.

30 mins. A full sample report and a pilot on your real applicants.