---
title: "AI Hero homepage (key content, extracted 2026-08-22)"
section: "raw"
type: "source"
created: "2026-08-22"
updated: "2026-08-22"
canonical: "https://pyweb.dev/wiki/raw/articles/aihero-dev-homepage-2026"
---
# AI Hero homepage (key content, extracted 2026-08-22)

"Bad code is now the most expensive it has ever been."
A lot of people think the rules of software development are being rewritten by AI. They
think that code is cheap. That software engineering, as a discipline, is finished.
Coding agents like Claude Code and Codex ship code faster than any human ever has. But
without careful guidance, they make codebases worse. And the worse the codebase, the worse
the AI performs. It's a vicious circle.
If you can design codebases agents love, you can reap the rewards of this new era.

## Skill organization (25 skills)
01 Getting Started: /setup-matt-pocock-skills, /ask-matt
02 The Main Flow (idea->ship spine, in order): /grill-with-docs, /to-spec, /to-tickets, /implement, /code-review
03 Shaping (open question -> decision): /wayfinder, /prototype, /research
04 Upkeep: /improve-codebase-architecture, /diagnosing-bugs, /resolving-merge-conflicts, /triage, /wizard
05 Productivity: /grill-me, /handoff, /to-questionnaire, /teach, /wait-what, /writing-for-agents
06 Reference (vocabulary layer): /codebase-design, /domain-modeling, /grilling, /tdd

## Content themes
- A Complete Guide To AGENTS.md; Plan Mode introduction; "Never Run Claude /init"
- Tracer Bullets: Keeping AI Slop Under Control
- How To Make Codebases AI Agents Love
- Feedback loops for TypeScript projects; Ralph (AFK agents)
- Cohort: "AI Coding for Real Engineers" — context gathering, planning, steering,
  feedback loops, AFK agents, human-in-the-loop review. 8,500+ engineers trained.

Bio: Before AI Hero, created Total TypeScript; XState core team; Vercel dev advocate.
Testimonials: Guillermo Rauch ("one of the best developer educators in the world"),
shadcn ("Every company needs its own Matt Pocock").

---

## Agent Navigation

### Machine endpoints
- Knowledge graph: https://pyweb.dev/api/graph.json
- Graph analysis: https://pyweb.dev/api/graph-analysis.json
- Context index: https://pyweb.dev/llms.txt