20 Apr 2026 · 13 min read
ai
Project Setup: BaseAgent, State, and Shared Infrastructure (Part 4 of 12)
Part 4 of 12 — Build the foundation: BaseAgent class, TeamState, agent config YAML, SQLite memory store, and tool registry.
Read moreIDEAS, DECISIONS & LESSONS
Notes on AI, architecture and building useful products.
279 articles
20 Apr 2026 · 13 min read
ai
Part 4 of 12 — Build the foundation: BaseAgent class, TeamState, agent config YAML, SQLite memory store, and tool registry.
Read more20 Apr 2026 · 42 min read
ai
Part 5 of 12 — Build the Product Owner and Business Analyst agents. The PO clarifies requirements and defines scope; the BA breaks them into actionable user stories with acceptance criteria. Full implementation with prompts and output schemas.
Read more20 Apr 2026 · 27 min read
ai
Part 6 of 12 — Build the QC Engineer and Technical Architect agents. QC writes test cases and acceptance gates before code exists. TA produces the technical spec, architecture decisions, and implementation plan. They run in parallel — the first big optimization in our pipeline.
Read more20 Apr 2026 · 18 min read
ai
Part 7 of 12 — Build the Senior Software Engineer agent that writes code, runs tests, and iterates until they pass.
Read more19 Apr 2026 · 27 min read
ai
A hands-on account of building, debugging, and shipping real features using Claude Opus 4 as a pair programmer — including the failures, the debugging rabbit holes, and the moments where AI pair programming genuinely shines.
Read more19 Apr 2026 · 32 min read
agentic-ai
Part 1 of 12 — The vision behind building autonomous AI agents for every role in a software team: PO, BA, QC, TA, SSE, DevOps, TL, and PM. From solo developer bottleneck to an AI-powered development pipeline.
Read more19 Apr 2026 · 25 min read
ai
Part 2 of 12 — A hands-on comparison of the top multi-agent frameworks: LangGraph, AutoGen, and CrewAI. We build the same PO Agent in all three to see which fits best for a software team simulation.
Read more19 Apr 2026 · 28 min read
ai
Part 3 of 12 — How to architect a multi-agent system using Domain-Driven Design principles. Define bounded contexts, domain events, state machines, and communication patterns for your AI software team.
Read more18 Apr 2026 · 19 min read
agentic-ai
Complete hands-on guide to building a production-ready agentic AI system. From project setup to deployment — every layer implemented with working code, tests, and Docker compose.
Read more