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I write about what actually happens inside engineering orgs. Not the polished version.
How to Hyper-Optimize Claude Code: The Complete Engineering Guide
16 concrete strategies to reduce token consumption by 60–90% while keeping Opus and Sonnet actively predicting. From .claudeignore to multi-agent architectures.
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The Second Bill: How AI Agents Create Costs Your FinOps Team Can't See
AI agents create a second bill: invisible to FinOps, landing on the wrong invoice, and breaking every financial model built for linear AI costs.
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You Are a Senior Engineer: Why That Prompt Is Wrong
Expert persona prompting reduces factual accuracy by 3.6 points. Here are the four patterns that actually work - with a decision table and real session data.
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Knowledge Graphs for AI Coding: What the Tools Actually Build (and What I Measured)
Most tools marketed as knowledge graphs for AI coding are dependency graphs. I built three production KGs, ran the experiments on LangChain, and the results were not what the vendors claimed.
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The Phantom AI Strategy: How to Tell in 30 Minutes if a Company Is Actually AI-Native
Every company says it's AI-first. After 30+ CTO interviews, I can tell you exactly which questions reveal the ones that aren't - and what the real ones say instead.
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Why Companies Keep Losing the Best CTOs Before They Even Make an Offer
After 30+ CTO interviews in three months, I can tell you exactly where the best processes broke - and what the exceptional ones did differently.
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Which Frontend Framework Wins in the AI Era
Framework choice is no longer about developer ergonomics. In an AI-driven era, the winners will be frameworks that resist entropy, enforce constraints, and scale safely under continuous AI modification.
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The AI Coding Shift: Why Strongly-Typed and Compiled Languages May Win
For 30 years, language choice was driven by developer productivity. AI changes the equation. When machines generate code, verification matters more than velocity.
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