AI Is Breaking the Engineering Talent Pipeline
Three fractures in how we learn, hire, and distribute capability.
Posts
When Your AI's Second Brain Starts Talking Back
Three layers of knowledge integration between Obsidian and Claude Code: from write-only vault to a feedback loop that promotes patterns into skills.
The Missing Step: What a Colleague's Hint Taught Me About AI-Driven Planning
Structured requirements, deviation rules, and the art of selective theft: five concepts borrowed from GSD, twenty rejected.
When Your AI Skills Library Gets Too Smart for Its Own Context Window
From token optimization to an orchestrated development workflow with Claude Code: teaching an AI your patterns is only part of the problem.
I Built an Italian Prison Monitor in 9 Days with AI. Here's What Broke.
A personal project that started as “can I automate an RSS digest?” and became a full-stack monitoring platform with narrative memory, semantic search, and AI-generated editorial commentary.
How We Cut Our Go API Latency by 75%
A practical guide to modern Go performance patterns we applied to our feed service at Wishew. P50 latency from ~200ms to ~50ms.
Measuring Software Performance: What Changed in 3 Years?
From the SPACE Era to the AI & DevEx Revolution: a necessary update.
From Skills to Shipping: Building with Claude as a Pair Programmer
Another chapter in our automation journey at Wishew, where we bridge the gap between project management and development workflows, and discover what happens when your AI pair programmer actually knows your patterns.
From Asking Claude to Code to Teaching Claude Our Patterns: Building Modular AI Skills
The best way to work with AI isn’t to ask it to write code: it’s to teach it your patterns first.
From Rubber Ducks to Gemini: AI-Powered Code Reviews in GitLab CI
A follow-up to our automation journey, where we integrate AI-powered code reviews directly into our CI/CD pipelines, and discover that Gemini is a much better conversation partner than a rubber duck.