Loop Engineering is a practical reference repository for designing loop-based workflows with AI coding agents. It focuses on replacing repeated manual prompting with systems that prompt, verify, schedule, and hand off work over time. The project is aimed at developers using tools such as Grok, Claude Code, Codex, Cursor, and other coding agents. It explains core building blocks such as scheduling, worktrees, skills, plugins, connectors, sub-agents, and persistent memory or state. The repository includes production loop patterns, quickstarts, starters, checklists, safety notes, and real-world stories. It also provides CLI tools such as loop-audit, loop-init, and loop-cost to scaffold, evaluate, and estimate agent loop workflows.
Features
- Practical guide for AI coding agent loops
- Patterns for daily triage, PR babysitting, CI sweeping, and issue triage
- Starter kits for Grok, Claude Code, Codex, and related tools
- loop-audit CLI for readiness scoring
- loop-init CLI for scaffolding loop projects
- loop-cost CLI for estimating token spend