Introduces a structured meta-workflow for AI agents that ensures
safe incremental changes, persistent state across context resets,
and a clear decision trail for multi-agent coordination.
Key additions:
- Work scoping (goal, success criteria, non-goals)
- External notes files (CONTEXT.md, TODO.md, DECISIONS.md, TEST_LOG.md)
- Locate → Implement → Verify → Update notes work loop
- Context recovery procedure for new agent sessions
- Quality bar principles
- Cross-references from CLAUDE.md to the new section
https://claude.ai/code/session_0159eSJrqKvKpgDiwYZ2iGxK
Section 14 in AGENTS.md covers the full test harness API, mock relay
HTTP endpoints, Playwright fixture usage, and data-testid selector
reference. CLAUDE.md testing section updated with quick-start example.
https://claude.ai/code/session_01XnrszNmdqrAGd8g8qhAn4G
- AGENTS.md Section 12: subsystem boundary table, PR discipline rules,
in-flight work reservation section, and signaling conventions for
parallel AI agent workflows (Claude Code, Codex, Jules)
- CLAUDE.md: document the unstable→beta→main promotion pipeline,
add multi-agent workflow section with coordination rules for both
agents and human maintainers, fix Node.js version reference (20→22)
https://claude.ai/code/session_01LzErpH9FNw4hAPsjoYb1v9
Claude