Markdown and editors soft-wrap on their own, so the manual ~75-char line
breaks across the docs added nothing but noise. Join wrapped prose, list
items, and paragraphs into single lines across 67 docs — README, CLAUDE.md,
deployment, usage, the RAG knowledge base, and the agent role prompts.
Whitespace-only: code fences, tables, and blockquote alerts are byte-identical
and the change is token-verified (no content altered). Applied with a
deterministic reflow tool (committed separately).
Also lands two doc edits that were awaiting commit: the measured under-load
resource numbers in usage.md and the pr_reviewer additions to the
org-structure RAG doc.
A documentation audit against the code surfaced several stale claims:
- Agent count: the roster is 19 AI agents (the UX/UI cell has two devs,
ux-dev-1 + ux-dev-2), not 18 / a single UX dev. Fixed in README,
CLAUDE.md, base.md, and docs/ux_ui.
- API: domain routes are mounted under /api, not /api/v1 (the /api/v1
prefix is the agent gateway only); dropped the non-existent /api/v1/test
group; fixed the orchestrator-status path in deployment.md.
- Quick Start uvicorn target is roboco.api.app:app (the api package
deliberately does not export app).
- Verb table: the developer PR verb is open_pr (renamed from
submit_for_qa); the lifecycle's canonical module is
foundation/policy/lifecycle.py (enforcement/task_lifecycle.py is a shim).
- Backend team stack: vector store is PostgreSQL + pgvector (via piragi),
not Qdrant; mypy targets roboco/, not src/.
- .env.example: replaced the phantom Qdrant/OpenAI blocks with the real
Ollama/RAG settings.
Renn F