Journal
Writing about software decisions that age well, and the systems that don’t.
What does “AI-first” mean? Google, Shopify, Duolingo and Klarna use the same label for very different bets on products, people, costs and infrastructure.
Companies are rehiring roles they cut for AI as rising costs and weak returns expose the gap between the sales pitch and business reality.
As building gets cheaper, the advantage shifts toward judgment: deciding what deserves to exist, making it legible, and cutting what weakens it before it ships.
AI still buys speed, but the bigger risk is building important workflows on top of externally governed capability whose economics can change underneath you.
A long-form, grounded walkthrough of prompt engineering with clear examples, realistic techniques, and step-by-step patterns that consistently improve LLM outputs.