The Open Source Paradox AI Created
Generative AI is accelerating open-source adoption while quietly breaking the economic models that sustain it. This is not a tooling problem. It’s a policy and incentive failure.
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Insights on engineering leadership, technology, and building high-performing teams.
25 posts
Generative AI is accelerating open-source adoption while quietly breaking the economic models that sustain it. This is not a tooling problem. It’s a policy and incentive failure.
Using Claude Code and Opus 4.5 as thinking partners helped me rebuild confidence, clarity, and quality in a growing macOS codebase.
Real change compounds when you build systems that make improvement unavoidable.
Andrej Karpathy put words to something many engineers are quietly feeling right now. We've been handed a powerful alien tool with no manual, and we're all learning how to use it in real time.
From generative AI as a tool to AI as a strategic partner. Reflections on 2025 and what excites me most about 2026.
🤖 Frontier Models, Small Language Models, and a New Middle Path The most strategic AI decision isn't choosing the right model — it's knowing when generic intelligence isn't enough. Over the past...
How my workflow evolved from autocomplete magic to spec driven development, and why trusting GenAI with more of my code has changed how I build software.
Ferrari offers a masterclass in leadership anti-patterns. What their struggles reveal about accountability, culture, and building winning teams.
From AWS to GitHub to Podman, MCP servers are quietly becoming the new plug-in ecosystem for developers—and it’s changing how we work.
After building two open-source task managers to battle procrastination, I took it further — secure cloud sync, end-to-end encryption, and now an MCP server that connects your tasks to AI.