Reusable prompts and step-by-step workflows that let coding agents self-pace through a task until it's done.
Run the production build, fix compile and bundling errors, and loop until the build succeeds.
Add focused tests until coverage meets your threshold (e.g. 80%), without changing production behavior unnecessarily.
Hook that runs tests before git commit commands to block commits when the suite is red.
Hook-based loop that runs related tests after file edits to catch regressions early.
Run the formatter, fix any remaining style issues, and loop until the codebase formats cleanly with no diffs.
Run failing tests repeatedly, classify each failure as flaky or real, and fix only confirmed regressions.
Test-first loop: write a failing test, implement the minimum code to pass, refactor, and repeat.
Hook that runs smoke tests after git merge or rebase to catch integration regressions immediately.
When implementation claims done, a separate verifier pass runs build, lint, and tests with no access to the implementer's rationale.
Run your test suite, fix the smallest root cause on failure, and repeat until every test passes.
Run lint and typecheck, fix reported issues, and loop until the codebase is clean.
Run Playwright or Percy visual snapshots on UI changes; fix unintended diffs until baselines match intentionally.
Run end-to-end tests, fix UI and integration failures, and loop until the E2E suite passes.
Common questions about reusable Loops for AI coding agents
A loop is a reusable workflow for AI coding agents built around four parts: a goal, a check command that objectively verifies progress, an exit condition, and a max-iteration limit. Paste the kickoff prompt into your agent and it self-paces through the task, re-running the check command after each pass until the exit condition is met.
A normal prompt is one instruction for one turn. A loop is the system around repeated turns — it tells the agent how to verify its own work and when to stop, so it can keep going without you re-prompting it after every attempt. This practice is known as loop engineering.
Most loops on this page are agent-agnostic — the kickoff prompt is plain text you can paste into Claude Code, Cursor, Codex, or any other coding agent. Each loop's page lists which agents it was specifically built and tested for.
