Agent Loops: Reusable Operating Cycles for AI Agents

Agent loops

Agent loops turn one-shot AI agent work into bounded cycles with a trigger, objective, verifier, stop condition, budget, and safe output.

Answer-first definition

An agent loop is a reusable operating cycle around an AI agent. It defines what starts the work, what evidence the agent must check, what it may touch, how much budget it can spend, and what requires human approval.

The practical version is not open-ended autonomy. It is a leash with a verifier.

Agent loop anatomy

Field	Question
Trigger	What starts the next run or turn?
Objective	What should be true when it is done?
State	Where does progress survive outside the chat window?
Verifier	What evidence proves success?
Budget	What hard cap prevents token bonfires?
Approval boundary	What must a human review first?

Details

Useful starting patterns

Loop	Category	Difficulty	Cadence	Verification
API Contract Drift	Engineering	Intermediate	After API changes or SDK releases	Server behavior, client types, examples, and docs agree on request/response contracts.
Architecture Rubric Refactor	Engineering	Advanced	When architecture work has a defined scope	Scoped module meets the written rubric, tests pass, and unresolved objections are explicit.
CI Optimization	Engineering	Advanced	Monthly or when CI is painful	CI p50/p95 improves against the same workflow without weakening tests or hiding failures.
Claude Code Repo Readiness	Engineering	Beginner	Before major agent work	Repo has agent instructions, documented commands, architecture notes, risk areas, and a docs/loops scaffold.
Cold Load Trim	Engineering	Advanced	When first visit feels heavy	Initial screen downloads fewer bytes while screenshots and behavior remain unchanged.
Fresh Clone Onboarding	Engineering	Intermediate	Before onboarding	A clean machine reaches the documented ready state using only the README.
Project Docs Freshness	Engineering	Beginner	Nightly or after meaningful code changes	Changed behavior, APIs, CLI commands, config, and workflows are reflected in docs. Docs checks pass.
Test Flake Stabilizer	Engineering	Intermediate	When tests are inconsistent	The repaired test and full suite pass for the required consecutive-run streak.
Test and Logging Coverage	Engineering	Intermediate	Weekly or before release	Critical flows have useful tests and structured logs for representative success and failure paths.
Adversarial PR Review	Evaluation	Advanced	For meaningful PRs	An independent critic approves the unchanged version or only accepted findings remain.
Browser Quality Streak	Evaluation	Intermediate	Before release	N realistic scenarios pass consecutively, and earlier failures have regression coverage.
Open Loop and Stale Memory Cleanup	Knowledge	Beginner	Weekly	No current open loop is contradicted by recent daily or project notes.
Research to Artifact	Knowledge	Intermediate	Whenever research must support a decision	The artifact meets acceptance criteria, traces important claims to sources, and states uncertainty plainly.
Source Library Ingestion QA	Knowledge	Intermediate	After each source capture	Metadata complete, transcript/article state honest, useful takeaways present, and qmd retrieval verified or refreshed.
Agent Handoff Continuity	Operations	Intermediate	Before pausing or switching agents	A new agent can state goal, current state, proof, blockers, and next action without reading the whole transcript.
Agent Toolchain Health Check	Operations	Beginner	Weekly or before a heavy agent run	Critical tools authenticate, return sane output, and have a known fallback or blocker owner.
Living Story	Operations	Intermediate	Weekly or per project window	Every prior thread is carried forward, closed with evidence, or flagged stale/needs-review.
Production Error Sweep	Operations	Advanced	Daily or after incident	Actionable errors are fixed with reproduction or tests, or explicitly classified as noise.