Insights on Context Engineering, AI-assisted development, and owning outcomes
Your codebase has hundreds of undocumented decisions. One CLI command generates production-quality Architecture Decision Records grounded in your actual code. No templates. No guessing.
We tested 8 models on the same RAG pipeline. Haiku beat Sonnet. Nova 2 Lite beat Llama 4. The data says: match the model to the cognitive task, not the price tier.
Context engineering is not new. I built an organizational intelligence platform in 2012 with Puppet. In 2026 I rebuilt it with AI. Same pattern, different layer.
AI inference cost optimization through context engineering and prompt caching. More developers should mean lower cost per query, not higher. Here's how.
AI token cost monitoring with zero visibility into $4,800/month in Claude usage. I built a real-time dashboard. Here's what the data revealed.