Test candidate Antigravity skills on real product problems
Assign an open-ended take-home where candidates run Antigravity in CodeSubmit IDE or locally with Git, then review their working feature, commits, and usage summary.
Plan a checkout webhook retry without creating duplicate charges.
- Updated webhook handler and verified idempotency tests
- Committed changes and pushed branch
- Repository checks passing
- Diffs and commits
- AI review summary
- CodePair follow-up
What to evaluate
How to assess engineers using Google Antigravity
When a desktop IDE agent plans and edits across the codebase, your hiring test should measure product judgment and constraint discipline.
Bounding the implementation plan
Strong candidates turn an ambiguous business ticket into a scoped plan with explicit boundaries before letting Antigravity edit application files.
Protecting core system invariants
They keep authentication rules, data integrity, and safe state transitions intact while the agent modifies frontend views and backend handlers.
Auditing diffs before committing
Instead of pushing unexamined agent output, they strip unnecessary dependencies, catch subtle regressions, and structure changes into clean Git commits.
Explaining tradeoffs and follow-ups
Candidates document why they chose their approach, what risks remain for production, and can extend the code live in CodePair.
How it runs
How an Antigravity take-home assessment works
Choose whether candidates run Antigravity in CodeSubmit IDE with recorded sessions and AI budgets, or locally on their own machine over Git.
Assign a repository challenge
Pick an open-ended task scoped beyond one prompt, then choose CodeSubmit IDE with a per-candidate AI budget or local Git.
Candidate builds in Antigravity
In CodeSubmit IDE, Antigravity is ready in a recorded, budget-capped workspace, or the candidate works locally and pushes commits via Git.
Inspect and debrief live
Reviewers examine the working code, commits, tests, notes, recorded session, and usage summary, or open the submission in CodePair.
Take-Home tasks
Product problems built for agentic IDE workflows
Each challenge gives the candidate a working codebase, a real customer or operational problem, and strict system boundaries that reward thoughtful scoping.
Idempotent invoice retry in LedgerPulse
Finance admins need a dashboard action to retry failed webhook deliveries for overdue invoices without triggering duplicate customer charges or ledger entries.
Preserve existing payment idempotency keys and audit log schemas.
Clinic waitlist reassignment in CareSlot
When a patient cancels an appointment within twenty-four hours, offer the open slot to eligible waitlisted patients matching provider and insurance rules.
Keep role-based clinic permissions and booking lock semantics unchanged.
Partial shipment reconciliation in DockLine
Warehouse operators receiving split freight deliveries need to mark partial line items received while keeping backorder totals accurate for downstream purchasing.
Do not alter existing warehouse stock reservation database triggers.
Reviewer evidence
Everything you need to evaluate the submission
CodeSubmit turns a candidate's CodeSubmit IDE session or Git push into a structured review packet so hiring managers can grade engineering substance alongside the finished feature.
Diffs and commits
Inspect the full pull-style diff, commit sequence, and automated test results to see how the solution was constructed and verified.
AI review summary
Read an automated summary of repository structure, testing gaps, and candidate decision notes with suggested follow-up prompts for the interview.
CodePair follow-up
Open the submitted repository directly in CodePair for a live collaborative session where the candidate walks through and extends their code.
Why real tasks beat algorithm brainteasers
Software development has changed, and engineering leaders who hire developers who use Google Antigravity need a signal that reflects daily product work. Timed algorithm brainteasers test whether a candidate memorized a graph traversal trick, while banning the agentic IDE workflows your team expects them to use once they join.
A take-home in CodeSubmit IDE or a local Git repository reveals what puzzles miss. When candidates use Antigravity on an existing application, you see whether they scope a realistic change, protect authentication and data boundaries, verify their tests, and write clear tradeoff notes. Your team reviews shipped code, session recordings, and real engineering decisions.
Frequently asked questions
How do you evaluate take-home projects built with Antigravity?
In CodeSubmit IDE, reviewers get the recorded session and a usage summary alongside the working software, diffs, commits, test results, notes, and AI review. Teams can also run take-homes over local Git and debrief in CodePair.
Does Antigravity run inside the CodeSubmit browser workspace or locally?
Both. Teams can run take-homes in CodeSubmit IDE, where Antigravity runs in a recorded browser workspace with a per-candidate AI budget, or let candidates work locally on their machine and push commits via Git.
How can we run an Antigravity IDE technical interview after the take-home?
Once a candidate submits their take-home from CodeSubmit IDE or local Git, you can open that codebase in CodePair for a live session. Ask them to walk through their commits, explain tradeoffs, and implement a change live.
Can we use our own codebase to evaluate Antigravity workflows in engineering hiring?
Yes. Start from a library challenge or upload your own repository with your stack and tests. Candidates work on open-ended problems in CodeSubmit IDE with budgeted AI credits or locally over Git for structured team review.
Test candidate Antigravity skills on real repositories
Launch an Antigravity take-home assessment in CodeSubmit IDE or Git and see how candidates plan, verify, and ship working software.