cobusgreyling/loop-engineeringPublic

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

AI summary: A CLI framework for designing, orchestrating, and auditing autonomous AI agent loops across large codebases.

Stars
11.4K
+8 today
Forks
1.5K
Watchers
72
Open issues
8
Open PRs
5
Contributors
~43
Commits
536
Branches
133

TypeScriptMITCreated Jun 9, 2026Last push todayLatest release v1.6.0+103 stars this week+466 this month

Quick answers

What is loop-engineering?
A CLI framework for designing, orchestrating, and auditing autonomous AI agent loops across large codebases.
What does loop-engineering do?
Loop Engineering provides a structured CLI framework dedicated to the design, execution, and evaluation of autonomous AI agent loops. It offers the necessary infrastructure to manage persistent state, handle API failures, and evaluate output quality during complex, multi-step LLM interactions. The system introduces specific engineering constructs for human-in-the-loop interventions, git worktree isolation per task, and automated context circuit breakers to prevent runaway costs. By focusing heavily on observability, it provides a toolchain to scaffold setups, audit loop readiness against strict constraints, and estimate token spend before deployment.
Who is loop-engineering for?
AI engineers, prompt developers, and researchers building complex, autonomous LLM systems that require strict state management, evaluation, and operational governance.
How do I get started with loop-engineering?
npx @cobusgreyling/loop init . --pattern daily-triage --tool grok
How popular is loop-engineering on GitHub?
cobusgreyling/loop-engineering has 11,416 stars and 1,533 forks on GitHub, and gained 103 stars in the last 7 days.
What license does loop-engineering use?
cobusgreyling/loop-engineering is released under the MIT license.

Star history

since Jul 29, 2026
05K10KJul 2026Aug 2026Sep 2026Oct 2026
11.4K stars as of Oct 4, 2026. Measured daily since Jul 29, 2026; GitHub no longer exposes earlier star timestamps.

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488 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Widely adopted

    11,416 stars

  • Breakout launch

    11,416 stars in 118 days

  • Actively maintained

    Pushed within 48 hours

  • Outside contributions

    75% of recent commits from the community

  • Well documented

    High community health score

  • Permissive license

    MIT

  • Continuous integration

    Automated checks passing

  • Repeat trending

    3 trending appearances

What loop-engineering does

Loop Engineering provides a structured CLI framework dedicated to the design, execution, and evaluation of autonomous AI agent loops. It offers the necessary infrastructure to manage persistent state, handle API failures, and evaluate output quality during complex, multi-step LLM interactions. The system introduces specific engineering constructs for human-in-the-loop interventions, git worktree isolation per task, and automated context circuit breakers to prevent runaway costs. By focusing heavily on observability, it provides a toolchain to scaffold setups, audit loop readiness against strict constraints, and estimate token spend before deployment.

AI engineers, prompt developers, and researchers building complex, autonomous LLM systems that require strict state management, evaluation, and operational governance.

  • Comprehensive CLI Toolchain: Includes practical orchestration tools like `loop-audit`, `loop-init`, and `loop-cost` accessed via a unified front door.
  • Loop Readiness Scoring: Provides an automated audit system to evaluate the structural integrity, constraints, and governance of deployed agent loops.
  • Worktree and State Management: Provides dedicated modules to handle file context, detect state drift, and isolate git states per fix attempt for safe experimentation.
  • MCP Server Integration: Supports the Model Context Protocol to seamlessly connect running agents with external tools and state registries.
  • Cost Monitoring: Features built-in utilities to explicitly track, estimate, and cap the token costs of running automated agent loops.
  • Agentic System Design: Promotes frameworks and patterns that shift focus from prompting the agent to designing the system that prompts the agent.

Where teams use it

Scaffolding AI Agent Projects

Developers use `loop-init` to quickly initialize the structure, state files, and budget constraints for a new daily-triage AI coding workflow.

Automated Code Auditing

Engineering teams deploy agent loops that continuously review codebases for quality issues within isolated, ephemeral git worktrees.

Loop System Governance

System architects run `loop-audit` to mechanically evaluate an agent's operational readiness and ensure it adheres to predefined safety constraints.

Agent Cost Tracking

Project managers utilize `loop-cost` to monitor and forecast the financial cost of running autonomous coding agents across extensive codebase analyses.

Getting started: npx @cobusgreyling/loop init . --pattern daily-triage --tool grok

README

main branch

Loop Engineering

Showcase GitHub stars loop npm last triage MIT

Loop Engineering logo

Stop prompting. Design the loop. Get a score.

Loop Engineering — design the system that prompts your agents

Start in 5 minutes · Quickstart · What do you want to do? · Refactor path · 中文 · Pattern picker

npx @cobusgreyling/loop init . --pattern daily-triage --tool claude
npx @cobusgreyling/loop doctor .

--tool defaults to claude if you omit it. Swap for grok, codex, or opencode. Week one is report-only.

Loop Ready score climbing

You design a system that discovers work, hands it to agents, verifies results, and persists state — instead of typing the next prompt yourself.

New here? Quickstart · Refactor a project · Thin GitHub Action loop (no STATE.md required)

What do you want to do?

This is a pattern library for operating agents around a codebase. It is not a “rewrite the module” button.

I want to… Start here
Keep the repo healthy (issues, CI, deps) Quickstart → daily-triage
Land and babysit PRs PR Babysitter
Run a loop in GitHub Actions with almost no files Thin loop
Ship a feature or refactor (todos → small PRs) Refactor / change path

Full jobs table: docs/jobs.md.

Patterns

Pattern Cadence Week 1 Cost
Daily Triage 1d–2h L1 report Low
Thin loop event + 1d L1 snapshot Very low
PR Babysitter 5–15m L1 watch High
CI Sweeper 5–15m L2 cautious Very high
Dependency Sweeper 6h–1d L2 patch-only Medium
Changelog Drafter 1d or tag L1 draft Low
Post-Merge Cleanup 1d–6h L1 off-peak Low
Issue Triage 2h–1d L1 propose-only Low

Interactive picker: showcase. Index: patterns/registry.yaml.

Getting started

npx @cobusgreyling/loop init . --pattern daily-triage --tool claude
npx @cobusgreyling/loop doctor .
npx @cobusgreyling/loop cost --pattern daily-triage --level L1

Empty repo → first STATE.md walkthrough: scripts/empty-to-state-demo.sh.

Roll out L1 report → L2 assisted → L3 unattended only after the verifier has been right for a week. See loop-design-checklist.

Loop Ready now weights recent runs harder than files on disk. A 30-day-old STATE.md is not L3.

Examples by tool

Claude Code (including the plugin) · Grok · Codex · OpenClaw · Opencode · GitHub Actions

Operating & safety

Failure modes · Anti-patterns · Safety · Operating loops · Stories (wins and failures)

Loop engineering amplifies judgment. Token costs can explode. Unattended loops make unattended mistakes. Read what the loop ships.

Help wanted

Docs and small PRs: first response within 48 hours.

See CONTRIBUTING.md.

CLI packages and companion repos (optional — not required for week one)

Unified front door: npx @cobusgreyling/loop (init · doctor · status · audit · cost). Older packages (loop-init, loop-audit, …) stay supported.

Companions exist for later: memory-engineering, harness-foundry, outerloop, fleet-engineering, goal-engineering. Do not add them until a loop has actually run.

Sources

License

MIT

View on GitHub

Recent activity

commits and pull requests

Recent open issues

view all

Discussions

all 20

Releases and announcements

2 total
  1. # v1.6.0 — Foundry funnel + loop-gate **Three things that matter:** 1. **Design → runtime in one flag** — `loop-init --with-foundry` scaffolds your loop *and* a versioned harness stack (`.foundry/stack.yaml`). `loop-audit` **1.7** scores **Harness Runtime**. 2. **`loop-gate` is live** — mechanical path denylist + auto-merge allowlist from `gate.yaml` (`npx @cobusgreyling/loop-gate`). Wired into starters and MCP. 3. **Longer, safer runs** — `loop-context` stagnation detection + `loop-worktree --wait` queue; community docs (Devin matrix, architecture diagrams). <p align="center"> <img src="https://raw.githubusercontent.com/cobusgreyling/loop-engineering/main/assets/visuals/loop-audit-demo.gif" alt="Loop Ready score climbing in ~15 seconds" width="100%" /> </p> ## Quickstart (copy-paste) ```bash # Scaffold + score (optional Foundry harness) npx @cobusgreyling/loop-init . --pattern daily-triage --tool grok # or: npx @cobusgreyling/loop-init . --pattern daily-triage --tool grok --with-foundry # Readiness + next steps npx @cobusgreyling/loop-audit . --suggest # Gate check (if you use auto-merge / denylist) npx @cobusgreyling/loop-gate check --action auto-merge --paths path/to/fi

  2. # v1.5.0 — Community Tools Drop Seven community PRs merged. Three new tools ship. One command to try everything. ## Quickstart (copy-paste) ```bash # Scaffold your first loop (any git repo) npx @cobusgreyling/loop-init . --pattern daily-triage --tool grok # Check token cost before you schedule npx @cobusgreyling/loop-cost --pattern daily-triage --level L1 --cadence 1d # Score readiness + get next steps npx @cobusgreyling/loop-audit . --suggest # Detect drift between STATE.md and LOOP.md npx @cobusgreyling/loop-sync . ``` **New here?** [Quickstart (5 min)](docs/QUICKSTART.md) · [Interactive pattern picker](https://cobusgreyling.github.io/loop-engineering/#interactive) --- ## What's new ### New: `loop-sync` CLI (npm v1.0.0) Detect configuration drift between `STATE.md`, `LOOP.md`, and skill versions. Run in CI or locally: ```bash npx @cobusgreyling/loop-sync . -v ``` Contributed via [#47](https://github.com/cobusgreyling/loop-engineering/pull/47) — thanks @community. ### New: `loop-constraints` Structured guardrails file + enforcement skill. `loop-init` now scaffolds `loop-constraints.md` and the `loop-constraints` skill on every run. `loop-audit` scores constraints pr

Code frequency

additions and deletions
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+63.5K lines added, -7K removed over the last year.

Commits per week

last 52 weeks
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488 commits in the last 52 weeks.

When work happens

weekday and hour
SunMonTueWedThuFriSat036912151821Sun 0:00 — 1 commitsSun 1:00 — 3 commitsSun 2:00 — 9 commitsSun 3:00 — 5 commitsSun 4:00 — 0 commitsSun 5:00 — 1 commitsSun 6:00 — 0 commitsSun 7:00 — 0 commitsSun 8:00 — 0 commitsSun 9:00 — 0 commitsSun 10:00 — 0 commitsSun 11:00 — 0 commitsSun 12:00 — 0 commitsSun 13:00 — 0 commitsSun 14:00 — 0 commitsSun 15:00 — 4 commitsSun 16:00 — 1 commitsSun 17:00 — 0 commitsSun 18:00 — 1 commitsSun 19:00 — 6 commitsSun 20:00 — 3 commitsSun 21:00 — 1 commitsSun 22:00 — 0 commitsSun 23:00 — 0 commitsMon 0:00 — 3 commitsMon 1:00 — 1 commitsMon 2:00 — 7 commitsMon 3:00 — 4 commitsMon 4:00 — 0 commitsMon 5:00 — 1 commitsMon 6:00 — 0 commitsMon 7:00 — 2 commitsMon 8:00 — 11 commitsMon 9:00 — 8 commitsMon 10:00 — 4 commitsMon 11:00 — 2 commitsMon 12:00 — 14 commitsMon 13:00 — 10 commitsMon 14:00 — 4 commitsMon 15:00 — 9 commitsMon 16:00 — 4 commitsMon 17:00 — 5 commitsMon 18:00 — 4 commitsMon 19:00 — 0 commitsMon 20:00 — 3 commitsMon 21:00 — 0 commitsMon 22:00 — 0 commitsMon 23:00 — 1 commitsTue 0:00 — 0 commitsTue 1:00 — 1 commitsTue 2:00 — 6 commitsTue 3:00 — 6 commitsTue 4:00 — 0 commitsTue 5:00 — 0 commitsTue 6:00 — 0 commitsTue 7:00 — 1 commitsTue 8:00 — 20 commitsTue 9:00 — 7 commitsTue 10:00 — 15 commitsTue 11:00 — 3 commitsTue 12:00 — 10 commitsTue 13:00 — 4 commitsTue 14:00 — 5 commitsTue 15:00 — 0 commitsTue 16:00 — 3 commitsTue 17:00 — 0 commitsTue 18:00 — 0 commitsTue 19:00 — 5 commitsTue 20:00 — 3 commitsTue 21:00 — 3 commitsTue 22:00 — 4 commitsTue 23:00 — 1 commitsWed 0:00 — 1 commitsWed 1:00 — 1 commitsWed 2:00 — 6 commitsWed 3:00 — 5 commitsWed 4:00 — 0 commitsWed 5:00 — 1 commitsWed 6:00 — 0 commitsWed 7:00 — 0 commitsWed 8:00 — 9 commitsWed 9:00 — 2 commitsWed 10:00 — 7 commitsWed 11:00 — 1 commitsWed 12:00 — 2 commitsWed 13:00 — 2 commitsWed 14:00 — 8 commitsWed 15:00 — 5 commitsWed 16:00 — 2 commitsWed 17:00 — 5 commitsWed 18:00 — 0 commitsWed 19:00 — 10 commitsWed 20:00 — 10 commitsWed 21:00 — 1 commitsWed 22:00 — 2 commitsWed 23:00 — 6 commitsThu 0:00 — 1 commitsThu 1:00 — 0 commitsThu 2:00 — 3 commitsThu 3:00 — 6 commitsThu 4:00 — 1 commitsThu 5:00 — 1 commitsThu 6:00 — 2 commitsThu 7:00 — 0 commitsThu 8:00 — 10 commitsThu 9:00 — 3 commitsThu 10:00 — 15 commitsThu 11:00 — 7 commitsThu 12:00 — 3 commitsThu 13:00 — 8 commitsThu 14:00 — 3 commitsThu 15:00 — 10 commitsThu 16:00 — 4 commitsThu 17:00 — 1 commitsThu 18:00 — 5 commitsThu 19:00 — 6 commitsThu 20:00 — 3 commitsThu 21:00 — 1 commitsThu 22:00 — 0 commitsThu 23:00 — 0 commitsFri 0:00 — 0 commitsFri 1:00 — 0 commitsFri 2:00 — 3 commitsFri 3:00 — 6 commitsFri 4:00 — 3 commitsFri 5:00 — 1 commitsFri 6:00 — 4 commitsFri 7:00 — 3 commitsFri 8:00 — 10 commitsFri 9:00 — 2 commitsFri 10:00 — 8 commitsFri 11:00 — 5 commitsFri 12:00 — 4 commitsFri 13:00 — 1 commitsFri 14:00 — 0 commitsFri 15:00 — 2 commitsFri 16:00 — 1 commitsFri 17:00 — 1 commitsFri 18:00 — 3 commitsFri 19:00 — 0 commitsFri 20:00 — 0 commitsFri 21:00 — 1 commitsFri 22:00 — 0 commitsFri 23:00 — 0 commitsSat 0:00 — 0 commitsSat 1:00 — 0 commitsSat 2:00 — 8 commitsSat 3:00 — 3 commitsSat 4:00 — 0 commitsSat 5:00 — 1 commitsSat 6:00 — 0 commitsSat 7:00 — 0 commitsSat 8:00 — 0 commitsSat 9:00 — 2 commitsSat 10:00 — 2 commitsSat 11:00 — 0 commitsSat 12:00 — 0 commitsSat 13:00 — 0 commitsSat 14:00 — 0 commitsSat 15:00 — 2 commitsSat 16:00 — 0 commitsSat 17:00 — 1 commitsSat 18:00 — 0 commitsSat 19:00 — 2 commitsSat 20:00 — 1 commitsSat 21:00 — 2 commitsSat 22:00 — 0 commitsSat 23:00 — 0 commits
Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits135 (25%)
Community commits399 (75%)

534 commits in total over the last year.

DateListRankStars gained
Jul 3, 2026daily#19+11
Jun 27, 2026daily#13+38
Jun 26, 2026daily#22+15
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