Assess candidate Claude Code skills on real repositories
Run Claude Code take-homes in CodeSubmit IDE or over local Git, or host live CodePair sessions, to see how candidates scope changes and ship software.
>Fix duplicate webhook retries in handlers without changing database tables
●Updated webhook handler and idempotency tests
Verified diff and approved tests
Test suite passing
What to evaluate
Engineering habits to assess with Claude Code
Because Claude Code edits files and runs terminal commands autonomously, the hiring signal is how candidates scope context, gate permissions, and verify diffs.
Scoping context in CLAUDE.md
Strong candidates define repository conventions, test commands, and module boundaries in CLAUDE.md before asking the agent to modify files.
Breaking tickets into subtasks
Instead of pasting an entire brief at once, experienced engineers sequence work into small terminal steps they can verify after each edit.
Rejecting overbroad file diffs
When Claude Code touches unrelated modules or working utilities, capable developers reject those edits and constrain changes to the target directory.
Verifying with tests and notes
Candidates direct Claude Code to run existing test suites, inspect failing stack traces, and explain architectural tradeoffs in their submission notes.
How assessments run
How a Claude Code assessment session runs
Assign a take-home in CodeSubmit IDE or over local Git, or run a live CodePair interview with Claude Code ready in the browser terminal.
Choose a repository task
Pick an open-ended task or your own repo, then choose CodeSubmit IDE with a per-candidate AI budget, local Git, or live CodePair.
Candidate builds with Claude Code
In CodeSubmit IDE, Claude Code is ready in a recorded, budget-capped session, or candidates work locally with Git or live in CodePair.
- CodeSubmit IDE
- Git
- CodePair
Inspect code and tradeoff notes
Reviewers inspect the code, diffs, test results, notes, recorded session, and usage summary, or open the submission in CodePair for a live debrief.
Claude Code tasks
Repository tasks built for agentic workflows
Assign multi-file engineering problems where a candidate has to guide Claude Code through existing architecture, protect domain constraints, and verify edge cases.
Idempotent webhook ingestion in LedgerPulse
Duplicate payment events from upstream retries are creating double ledger entries during traffic spikes, causing invoice balances to drift out of sync.
Preserve existing database tables and keep handler response times low.
Partial order fulfillment in CrateRoute
Warehouse operators cannot split an order across two regional depots when a single location lacks sufficient stock for all requested line items.
Do not break existing allocation API contracts or shipment webhooks.
Tenant export scoping in MetricHarbor
Scheduled CSV exports occasionally include archived workspace rows when an administrator switches organization roles while a background report job is queued.
Enforce permission checks at execution time without changing queue payloads.
What reviewers see
Review the shipped code and engineering choices
Every submission gives your hiring team concrete evidence of how the candidate steered Claude Code, verified their changes, and reasoned about tradeoffs.
Diffs and commits
Inspect the working software, file diffs, and commit history to see how the candidate scoped and verified each change.
Tests and notes
Read test suite results alongside the candidate's written notes explaining architectural tradeoffs, rejected agent suggestions, and remaining edge cases.
AI review summary
Review an automated summary of repository structure, testing gaps, and discussion prompts, then open the repo in CodePair to debrief.
Why real repository tasks beat algorithm brainteasers
Software development has changed, and banning AI tools to protect memorized algorithm brainteasers tests the wrong skill. Any coding agent can solve an isolated array puzzle in seconds. On the job, your engineers use Claude Code inside existing repositories where context limits, legacy interfaces, and test coverage determine whether a change is safe to ship.
A practical repository assessment lets you observe how a developer actually directs an agent. You see whether they constrain Claude Code to the right files, verify behavior against the test suite, and catch subtle regressions before committing. That gives your hiring team clear evidence of engineering judgment rather than speed on artificial riddles.
Claude Code assessment FAQ
How do you test if a developer can use Claude Code effectively?
Give the candidate a realistic repository task with existing tests and architectural constraints. Evaluate how they scope context in CLAUDE.md, break the problem into verifiable terminal steps, reject unrelated file edits, and explain their tradeoffs in the submission notes.
Can we run a live coding interview with Claude Code in CodeSubmit?
Yes. Claude Code runs as a harness inside the CodePair browser workspace. Your interviewers and the candidate share the editor and terminal in real time, so you can watch how they prompt, review diffs, and run tests during the session.
Can candidates also use Claude Code on take-home coding projects?
Yes. Your team chooses local Git or CodeSubmit IDE, a browser workspace where Claude Code runs in a recorded session with a per-candidate AI budget. Tasks are scoped beyond a single prompt, and you review code, tests, notes, and usage summaries.
What evidence do reviewers get after a Claude Code assessment?
Reviewers see the working software, diffs, commits, test results, candidate notes, and an AI review. For CodeSubmit IDE take-homes, you also get the recorded session and a usage summary, and can open any submission in CodePair.
Test Claude Code skills on real repositories
Start a free trial to run assessments in CodeSubmit IDE, local Git repositories, or live CodePair interviews with your own engineering tasks.