A deployment interview signal, made executable.
The drill scores a candidate-style AI coding deployment response against design, code quality, performance, tests, communication, customer deployment judgment, and operational safety. It is fixture-backed, public-safe, and verifier-run.
Current fixture
Decision
Ready
Average
4.4/5
Rubric
7 signals
Release gates
2 pass · 1 watch
Interview signals covered
- Well-designed solution Intake, execution, verification, handoff, and release gates are separated into inspectable records.
- Code quality The response favors typed records, deterministic renderers, fixture validators, and ready/repair/reject states.
- Performance The plan tracks reviewer time-to-understand, files touched, command runtime, and repeatability.
- Test coverage Promotion is blocked unless validator tests, fixture checks, scorecard coverage, and public-pack verification pass.
- Communication The manager receives a decision packet: changed state, passed gates, failed gates, claim boundary, and owner.
- Deployment judgment Synthetic proof stays separate from customer rollout evidence and requires a reviewer owner before promotion.
- Operational safety The fixture blocks private paths, credentials, affiliation claims, and external sends without human review.
Verifier commands
python3 tools/deployment_receipt.py validate-assessment --input examples/deployment_assessment_drill.jsonpython3 tools/deployment_receipt.py assessment --input examples/deployment_assessment_drill.jsonpython3 scripts/verify_public_pack.pypython3 -m unittest tests/test_deployment_receipt.py
Inspect the implementation
What this does not claim
This drill proves a cleanroom assessment mechanism. It does not claim an interview invitation, employment, customer deployment, revenue, production impact, incorporation, endorsement, or target-company affiliation.