Build in context.
Make a scoped change inside an existing codebase. Understand the architecture and product constraints before touching the code.
COMPREHENSION + DELIVERYMeet the engineer behind the output. Assess how candidates build, question and verify with AI in real codebases.
For teams hiring engineers who think beyond the green check.
export async function handleWebhook(event) { const key = event.id;+ const claimed = await db.claim(key);+ if (!claimed) return { status: 200 }; await createOrder(event); return { status: 200 };}// What happens if createOrder fails?✓ Duplicate delivery produces one order
✓ Existing behavior is preserved
? Recovery after a partial failure
Good engineering takes more than a working implementation. Give candidates the kind of work they’ll actually do.
Make a scoped change inside an existing codebase. Understand the architecture and product constraints before touching the code.
COMPREHENSION + DELIVERYReview a realistic pull request. Catch consequential issues, explain the customer impact and decide whether it should merge.
CORRECTNESS + JUDGMENTReproduce a bug, investigate the cause and verify the repair. Show the evidence that supports the diagnosis.
DIAGNOSIS + VERIFICATIONUse AI to explore architecture options. Defend the tradeoffs and challenge the edge cases before calling it done.
TRADEOFFS + OWNERSHIPTwo planned formats: a practical codebase assessment and a separate AI-assisted system-design exercise. Choose the fit for the role.
See what a candidate understood, which AI suggestions they challenged, what they tested and where uncertainty remains.
Help shape the first assessments“The candidate identified a permissions regression and added a cross-account test. Their repair handles sequential retries, but overlapping retries remain unverified.”
A useful follow-up. A concrete basis for judgment.
We’re inviting actively hiring startup teams to become early partners, try the first assessments and help shape the evidence.
Starting with recent YC batches. One selected exercise per candidate, at $10 per assessment.
A small first cohort.
Find your hiring signal.
A wider candidate pipeline.
Keep the evaluation consistent.
A larger hiring round.
Evidence for every candidate.
Planned pilot pricing, with an AI allowance agreed before starting. Register your interest—no payment today.
Join the waitlist for launch updates and a chance to shape the first pilots.
We’ve saved your interest. We’ll be in touch when early access is ready.
Yes. AI is part of the assessment. We’re interested in how candidates direct it, evaluate its suggestions, verify the result and explain their decisions. Elaborate prompts alone don’t demonstrate competence.
A concise evidence report linked to the actual work: code changes, review findings, test results, design decisions and relevant AI interactions. The goal is specific observations and useful follow-ups for your hiring team.
Rebase is in development. The waitlist is open for hiring teams and engineers. We’re preparing the first paid startup pilots; joining the list doesn’t require payment or guarantee pilot access.
The hiring team makes the decision. Rebase is being built to show what was observed and what remains unverified, giving you concrete questions to explore in a follow-up conversation.