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Durable Agent Harness

Public engineering notebook by Alex Lennon (@embedded_iot) under the Chop Wood Carry Water brand — building a durable working relationship with AI coding agents.

🌐 Site: https://chopwoodcarrywater.uk/
📦 Repo: https://github.com/DynamicDevices/durable-agent-harness
🏷️ Release: v1.0.0 · baseline locked in BASELINE.md
🤖 Agents: AGENTS.md · https://chopwoodcarrywater.uk/agents.html

First-person voice, short blog, playbook, patterns, and honest measurement — personal brand, not a company brochure.

Topics: ai · agents · cursor · developer-tools · llm · engineering · documentation · productivity

Site SEO includes canonical URL, Open Graph / Twitter cards, JSON-LD (TechArticle + Brand + Person), robots.txt, and sitemap.xml.

What’s inside

Area What you get
60 minutes Timed checklist + Cursor starter pack (zip on the site)
Playbook Twelve steps to build a thin harness from scratch
Learning MemPalace memory + Kaizen → Hansei → Toyota Way Practices
Runtime Preloop (policy/audit under P0) + OpenRouter (multi-model routing) + PR commit checks (preloop status)
Channels & lean WhatsApp/Briar triage, media ingest, token-lean skills, desktop MCQ, voice, CI checks
Starter kit Copy-paste templates for skills, rules, patterns, lanes, clocks, capability maps (starters/)
Explore Timeline, stack, capability map, patterns, glossary/FAQ, research
Cases Before/after outcomes that show the harness at work
Measure Tenure clocks, metrics that aren’t fake multipliers, weekly ritual
Blog What broke / locked / earned a place on disk — sparks in blog-inbox.md, published at EOW
About Notebook blurb; contributor notes in PRIVACY.md

Local check

npm install
npx playwright install chromium
npm test          # sync + privacy gate + Playwright (desktop + mobile)
npm run serve     # http://127.0.0.1:4173

Three clocks (frozen starts)

Clock Start
Serious hands-on AI 2025-06-06
Cursor as cockpit 2025-07-23
Versioned harness 2026-05-31

Licence

See LICENSE for the split.


AI-assisted (Cursor) under Alex’s direction. Use at your own risk.

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Public engineering notebook: build a durable harness around AI coding agents — playbook, starters, patterns, honest measurement.

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