apex-raylisted

# Apex Ray ## Purpose Apex Ray is the project's local diff-aware AI review tool. Use it to create deterministic local review reports, run configured LLM review, continue partial coverage, tune repo rules/memory, inspect telemetry, and replay historical PR evals. ## Process - Run `apex-ray doctor` when setup, config, provider, or analyzer state is uncertain. - When Apex Ray is configured in a pre-push hook, do not proactively run `apex-ray review` or `apex-ray gate pre-push` as a routine final verification step; let `git push` invoke the hook so the pre-push incremental retry state remains the source of truth. - For deterministic local review outside pre-push, run `apex-ray review --no-llm` only when the user asks or when diagnosing Apex Ray; default reports are written under `.apex-ray/reports/`. - When the user asks, the hook is unavailable, or explicit pre-push gate parity is needed before pushing, run `apex-ray gate pre-push`; blocking findings and critical partial coverage are printed to stdout and the full report is written under `.apex-ray/reports/`. - Do not bypass the configured pre-push gate by default. If bypassing is unavoidable, explain why and name the equivalent checks or review already run. - Use `--no-llm` or `.apex-ray/config.local.yml` when the configured local provider is unavailable or LLM cost is not appropriate. - If a report has partial coverage, continue unreviewed work with `apex-ray review --continue-from .apex-ray/reports/review.json --residual-