Docs/handbook/README

Practitioner Handbook

Audience: Engineering orgs adopting AI-assisted delivery (UI, platform, and full-stack)
Goal: Depth over inventory — how to work day-to-day, not a dump of every file in the repo
Version: 1.1 | Updated: 2026-07-29


Purpose

This handbook is the operating manual for teams that ship with AI. Libraries (skills, agents, MCPs, cookbooks) live elsewhere. Here you learn when to reach for which tool, how to keep humans in control, and how to stop wasting tokens and review cycles.

How to use this handbook

  1. New to the site? Read How to browse once (kit → workflow → SDLC tools → patterns → assure).
  2. Org leaders: start with AI migration bible path (pilot → harness → gate → SoA).
  3. Individuals: read Skills vs prompts vs agents once as the shared vocabulary.
  4. Map your stage on the AI SDLC stage tooling map.
  5. Run your next feature through Context → Planning → HITL → Coding → PR review → Evals.
  6. Wire hooks and MCP only after the workflow is clear.
  7. Use cookbooks and patterns as specialist references, not as day-one browsing.

Chapters

Chapter You will be able to
How to browse Follow the site in a logical order without thrashing
AI migration bible path Sequence org pilot → team harness → production gate → SoA
External standards map Navigate OWASP LLM/Agentic, NIST AI RMF, ISO 42001, SLSA without certification theater
Skills vs prompts vs agents Stop treating every XML blob as a “skill”
How to give context Build packages agents can actually use
How to set up planning Enforce plan-before-code without ceremony theater
Human in the loop Place approvals where risk is real
PR review with AI Run severity-calibrated reviews that humans still own
Evals as quality gates Block merges on model regressions
Hooks in practice Fail closed before bad artifacts leave the laptop
MCP when and how Add tools without turning agents into confused deputies
Containing token waste Cut cost and noise without starving quality
AIDLC roles & evolving delivery Staff the new jobs AI-DLC creates

Repo map (start here on disk)

Concern Canonical path
Behavioral contract CLAUDE.md
Planner pattern content/patterns/planner-pattern/README.md
Implementation plan prompt content/08-ai-sdlc/prompts/implementation-plan.prompt.md
Skills content/03-skill-engineering/
Agents content/04-agent-engineering/
Hooks content/04-agent-engineering/hooks/
MCPs content/mcps/
Eval gate workflow .github/workflows/eval-gate.yml
React cookbook (UI depth) content/cookbook/react/README.md
Normative controls content/standard/

Design rule for this handbook

If a page is only a list of links, it does not belong here. Push catalogs to Skills, MCPs, Cookbook, and Patterns. Keep this folder for teachable practice.

Checklist — handbook readiness for an org

  • Engineers can name the difference between prompt, skill, agent, hook, and MCP
  • Every multi-file change has a plan approval recorded
  • PR review uses severity + verification, not “LGTM from the bot”
  • Eval gate exists for user-visible model behavior
  • Token budgets are measured, not vibed
  • Roles for AI-DLC (plan approver, review owner, eval owner) are named

Changelog

  • 2026-07-29: Linked AI migration bible path as the org-adoption spine.
  • 2026-07-16: Introduced practitioner handbook spine and curated navigation.