IDEAS, DECISIONS & LESSONS

Journal

Notes on AI, architecture and building useful products.

878 articles

20 Apr 2026 · 15 min read

ai

TL, DevOps, and PM Agents: Review, Deploy, and Coordinate (Part 8 of 12)

Part 8 of 12 — Build the Tech Lead (code review), DevOps (CI/CD generation), and PM (coordination) agents.

20 Apr 2026 · 20 min read

ai

The Complete Workflow: Wiring All Agents End-to-End (Part 9 of 12)

Part 9 of 12 — Assemble all 8 agents into a single LangGraph workflow. Full E2E example from client brief to deployed config.

20 Apr 2026 · 25 min read

agentic-ai

The Harness Problem: Why Your AI Briefs Are Costing You More, Not Less

A personal take on the hidden cost of AI-generated briefs. When CEOs and managers skip the reasoning process and hand developers full AI implementations as 'briefs,' they double the workload instead of halving it. The same problem plagues multi-agent AI systems — and the solution is the same: a Harness.

20 Apr 2026 · 15 min read

agent-learning

Agent Learning: Memory, RAG, and Skills That Grow Over Time (Part 10 of 12)

Part 10 of 12 — Make agents smarter over time with long-term memory, RAG, task reflection, and inter-agent knowledge sharing.

20 Apr 2026 · 14 min read

ai

Dashboard: Real-Time Visibility Into Your AI Team (Part 11 of 12)

Part 11 of 12 — Build a real-time Streamlit dashboard: Kanban board, agent status, cost tracking, and human checkpoint approval.

20 Apr 2026 · 17 min read

ai

Cost, Model Selection, and Taking Your AI Team to Production (Part 12 of 12)

Part 12 of 12 — The finale. Optimize costs, match models to agents, calculate ROI, and make your AI team production-ready.

19 Apr 2026 · 25 min read

ai

LangGraph vs AutoGen vs CrewAI: Picking Your Agent Framework (Part 2 of 12)

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.

19 Apr 2026 · 28 min read

ai

Designing Your AI Team: Architecture, DDD, and Communication (Part 3 of 12)

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.

19 Apr 2026 · 27 min read

ai

Vibe Coding with Claude: From Idea to Production in One Pair Programming Session

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.