IDEAS, DECISIONS & LESSONS
Notes on AI, architecture and building useful products.
20 articles
18 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 more18 Apr 2026 · 12 min read
agentic-ai
A complete technical guide to building a profitable agentic AI system using only open-source tools — with retrieval, orchestration, tool use, and observability. Includes architecture diagrams and real cost analysis.
Read more07 Apr 2026 · 5 min read
agents
Anthropic's Model Context Protocol hit 97M installs and joined the Linux Foundation. As a Technical Lead, here's what this means for how we build AI systems today and tomorrow.
Read more06 Apr 2026 · 6 min read
ai-agents
Anthropic's Model Context Protocol crossed 97M installs in March 2026. As a Technical Lead who's been building with MCP since early days, here's what that milestone actually means — and why every developer building AI systems needs to understand it now.
Read more29 Mar 2026 · 6 min read
agents
The Model Context Protocol crossed 10,000 published servers under the Linux Foundation's Agentic AI Foundation. As someone who's integrated dozens of AI systems, here's why this number matters more than any benchmark.
Read more26 Mar 2026 · 6 min read
agentic
March 2026 marks a turning point — AI coding tools evolved from assistants to autonomous agents. As a Technical Lead, here's what you actually need to know to navigate JetBrains Central, GitHub Agent HQ, Dapr Agents, MCP, and the multi-agent revolution.
Read more19 Mar 2026 · 23 min read
ai-agents
A practical, hands-on guide to automating Developer, QC, and Tech Lead workflows across three maturity levels — Manual, Agentic (Claude Code), and Fully Autonomous (NanoClaw). With mermaid diagrams, real configs, BDD examples, and step-by-step instructions you can implement today.
Read more18 Mar 2026 · 13 min read
agentic-ai
Most people are stuck in Phase 1 of AI — asking questions and doing work themselves. Phase 2 is Agents: you set a goal, the agent delivers results. Here's the complete breakdown of what changed, how it works, and why it matters.
Read more03 Mar 2026 · 12 min read
agents
How to build a coordinated Claude agent team: defining agent skills, assigning responsibilities, orchestrating multi-agent workflows, and collaborating across agents to deliver a real software product from idea to production.
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