Your agentic app just ran a search. The tool returned 500 results as JSON. Your agent appended all of it and fired off an API call — 45,000 tokens to answer a question that needed maybe 4,500. Tejas Manohar, a senior engineer at Netflix, hit this problem every day. He was running out of tokens […]
Read More →You give your AI coding agent a task. It gets to work. Thirty tool calls later you have code — and it’s not what you needed. The agent understood the words but missed the intent. It made a dozen small decisions that individually seemed reasonable, and collectively built the wrong thing. This isn’t a capability […]
Read More →TL;DR: The Kano Model isn’t just a PM’s tool — it’s a critical framework for engineers to evaluate feature value, manage technical debt, and define MVPs. By categorizing requirements into Must-be, One-dimensional, and Attractive qualities, teams can align technical execution with user satisfaction dynamics. Nowhere is this more visible right now than in AI agentic coding tools, where yesterday’s delighters […]
Read More →A practical guide for developers navigating Claude Code, Cursor, Copilot, Windsurf, Codex, and beyond. You switch from Cursor to Claude Code. Or from Copilot to Windsurf. The interface is different. The shortcuts are different. The config file has a new name. And for a moment, it feels like you’re starting from scratch. You’re not. Under […]
Read More →“Keep It Simple” is old advice. It got interesting again the moment anyone could generate 500 lines of code in 30 seconds. KISS says systems and tasks should be as straightforward as possible. No unnecessary complexity. Fewer moving parts, fewer things to break, fewer things to hold in your head. It was good advice when […]
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