AI
What the hype misses, what the tools actually help with, and how to use them without losing your own judgment.
- AI-Assisted Product Engineering: Orchestrating Claude Code Across the Software Development Lifecycle
Most LLM coding tools live inside a single editor session. Real product engineering doesn't. An architecture that orchestrates Claude Code across the full…
- I'm Bullish on AI-Assisted Coding. That's Exactly Why I Take the Risks Seriously.
The loudest AI enthusiasts are also the most allergic to discussing tradeoffs. That's the real risk. Honest enthusiasm is what keeps promising technologies…
- You Cannot Mandate Your Way to AI Adoption
Mandating AI tool usage, monitoring individual adoption, or ignoring it entirely. Three responses. All wrong. The AI adoption problem is a people problem,…
- The Engineering Manager Role Is Mutating
Same title, different job. The EM role is mutating faster than the job descriptions can keep up.
- I Built a Game That Teaches Git by Making You Type Real Commands
Most git tutorials show you diagrams. Gitvana drops you in a terminal inside a pixel-art monastery and makes you earn your enlightenment one commit at a time.
- The AI Echo Chamber Is the New Agile Industrial Complex
I've seen this movie before. A useful tool gets swallowed by a content machine, and the people who should be paying attention tune out. It happened with…
- How I Built a Real-Time Geopolitical Event Pipeline with Embeddings and LLMs
A deep technical walkthrough of a 7-stage pipeline that ingests 100+ RSS feeds, clusters articles with vector embeddings, synthesises structured events…
- Building Global Crisis Monitor: A Real-Time Geopolitical Intelligence Dashboard
I built a system that ingests 80+ news feeds, clusters them with embeddings, synthesises events with AI, and surfaces a live map and briefings-plus…
- The Abundance Trap: Why We Are Renting the Future
AI doesn't abolish scarcity—it reorganizes it. Why cheap output hides who controls the real choke points: compute, energy, and capacity.
- The Paradox of AI-Acceleration: Why We Are Typing Faster but Shipping Slower
AI lets us generate more code—but cycle times aren't dropping. Why velocity without tests, review, and observability just adds mass and risk.
- Don't ask AI to build the house. Ask it to build the scaffolding.
The real value of AI in development isn't production code—it's support code: tooling, tests, and scaffolding that gets you to the hard part faster.
- Betting on Engineering, Not Trends
The AI hype will fade but the tech won't. How to prepare your engineering practices and codebase for what comes next—without buying the noise.
- From Attention Economy to Thinking Economy: The AI Challenge
As AI automates more tasks, the challenge isn't just jobs—it's protecting and developing our capacity for deep thinking and creativity.
- Using AI in the Software Development Lifecycle (Without Slowing Shipping)
Where AI helps in the SDLC—and where it doesn’t. How to adopt AI coding tools and automation without slowing down delivery.