Marcos Paulo d88d8b89eb
verify-and-publish / gate (push) Successful in 7m30s
verify-and-publish / publish (push) Has been skipped
refactor: cut over to the Astro build
Merges refactor/task-20-cutover. Task 20 steps 1, 2, and 5; publishing is
not included.

The hand-written site is gone: 32 files deleted, including app.js,
responsive.css, and all ten route index.html files. Twelve more could not
be deleted -- the Astro pages import them and the build fails without
them -- so they moved to legacy/ verbatim, outside the reach of
check-tokens.mjs, which sweeps src/ and would demand a token migration
these files have not had.

Before anything was deleted, rendered-text-diff swept all ten routes plus
both Portuguese pages at full parity, 0 missing and 0 extra. That
comparison stops being possible once the legacy files are gone, which is
why it ran first. computed-style-diff on /full-guide/ is unchanged at 32.

verify.mjs no longer reads app.js and holds at 84 assertions.
audit-ui.mjs reads dist/. Docs across README, AGENTS.md, GATES.md, the
architecture context, and the operations guide now describe the built
site rather than the hand-written one.

origin/pages is unchanged at 37a1e480c6.
The publish job is still gated to manual dispatch.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-06 08:31:33 +00:00
2026-09-05 04:29:42 +00:00
2026-09-05 04:29:42 +00:00

AI For Dummies

A lightweight, presentation-style field guide to AI-assisted engineering.

It explains how to combine a strong planning/review model with faster workers, reusable skills, subagent handoffs, Git worktrees, and explicit verification. An interactive field kit compares common behavior skills such as ponytail-lite, caveman, unlazy, research, debugging, and review. The skill-forge workflow covers discovery, triggers, package anatomy, progressive instructions, structural validation, and behavioral iteration. The hands-on lab provides a tiny starter project and copy-ready baseline and skill-enabled prompts for a short side-by-side exercise. An interactive model gearbox separates capability tier from reasoning effort across OpenAI, Claude, and Gemini, and every featured skill links to a pinned source with an approval-first installation prompt.

Run locally

This is an Astro static site. It builds to dist/ and ships no runtime dependencies.

pnpm install
pnpm run dev        # http://localhost:4321/ai-for-dummies/
pnpm run build      # writes dist/
pnpm run preview    # serves the built output

Verify the content and interaction contracts with:

pnpm run verify     # reads dist/, so build first

The full gate — astro check, astro build, verify.mjs, audit-ui.mjs, check-tokens.mjs, and the assertion-count floor — runs as:

bash .agents/scripts/gate.sh

Project structure

  • src/pages/ — one file per route: the landing route map, the complete bilingual full-guide, the chapter pages, rules, skills, and skills-review
  • src/components/ — blocks and islands; the interactive diagrams, selectors, and the language toggle
  • src/content/ — the content collections every page renders from
  • src/styles/tokens.css — the design tokens
  • legacy/ — the editorial visual system and the review-desk modules, not yet migrated into components. Still imported by the pages that need them; see .agents/context/architecture.md
  • public/ — assets copied to the site root verbatim: fonts, the hands-on labs, and submitted-skills/
  • docs/references/ — bundled research sources and notes
  • docs/operations-guide.md — canonical SilverBullet operations and skills guide
  • public/hands-on/starter/ — dependency-free Tiny Tasks exercise
  • public/hands-on/rules/ — dependency-free Guardrails lab; toggles rule sources into the prompt
  • skills/ — reusable design and rules-case-study skills
  • vote-service/ — small Go API + Kubernetes manifests backing the skills-review vote widget (see vote-service/README.md)
  • GATES.md — acceptance ledger for the project

Publishing

The Gitea instance has a Pages Server configured to publish a repositorys pages branch under pages.marcospaulo.dev.br. pages now carries the built site — the contents of dist/ — not a copy of main. The intended site address is:

https://netcracker.pages.marcospaulo.dev.br/ai-for-dummies/

If the URL is not available yet, verify that the pages branch exists and that the repositorys pages branch exists. Gitea itself does not provide a built-in Pages server; this setup uses the instances separate Pages Server and Actions deployment path.

For the complete authoring, verification, publication, rollback, worktree, and skill workflow, see docs/operations-guide.md.

Reader voting on the skills-review desk

skills-review/ is static, so its "which draft would you ship?" vote widget calls a separate stateful service — vote-service/, a small Go API on its own pod, one vote per visitor enforced server-side by IP (a MAC address is never visible to a server across the internet, so it cannot be used). See vote-service/README.md for the API, the anti-abuse design, and the build/push/deploy steps; src/pages/skills-review.astro sets window.SKILLS_REVIEW_VOTE_API to point at it once deployed.

Research

See docs/references/README.md for official Claude, Codex, and Git documentation. The additional reading path bundles 12 verified articles and guides, including Medium and practitioner sources. See model routing for current provider controls and verified skill sources for commit-pinned provenance.

Rules and enforcement case study

Open /rules/ for a concise walkthrough grounded in the netcracker/interview repository. It shows how AGENTS.md, project-local skills, machine-readable repo ledgers, a UI contract ratchet, lint-staged, Husky, commitlint, specialist verifier agents, and PR review reinforce one another. Every example links to its source file in Gitea, and the page includes a copy-ready prompt for mapping the same layers in another repository.

The implementation patterns are also packaged as project-local skills in skills/. Use editorial-playbook when adding chapters or sections, and rules-case-study when turning repository controls into a source-linked teaching page.

S
Description
A lightweight field guide to AI-assisted engineering workflows
Readme 13 MiB
Languages
Astro 49.8%
Python 17.6%
JavaScript 14.9%
Shell 14%
TypeScript 1.7%
Other 2%