Practically AI
A lightning talk by Rick Whalley
Introduction
Who am I?
- Manchester Engineering Practice Lead
- AI-Native Engineering Lead
AI in Enterprise Architecture
- Brownfield Work
- Topologically Complex Enviroments
- Tribal Knowledge
The Approach
- Build living harnesses
- Valuestream Context
- Skills, Skills, Skills
- Hot takes
Living Harness
- Init is your start point
- Claude.md is a target
- Progressive disclosure is king
Value Stream context
- Microservices context is siloed
- Psuedo-mono repo using meta-repo
- Flow based implemention
// .meta file (using the `meta` tool)
"projects": {
"services/repo-a": "https://github.com/org/repo-a",
"services/repo-b": "https://github.com/org/repo-b"
}
Skills, Skills, Skills
- Cheapest investment for biggest results
- /skill-creator
-
Superpowers
Hot Takes
- CLI > MCP
- Defining your own agents is pointless