Tag: developer-tools

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The Kano Model for the AI Era: Prioritizing Features When Competitors Move in Months, Not Years

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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 […]

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Pi: The Coding Agent Built Around What It Won’t Do

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If you’ve been using AI coding tools long enough, you’ve probably noticed that they all start to feel the same. Cursor, Claude Code, Codex, Amp — they’re converging on a set of common features: plan modes, permission popups, sub-agents, MCP integration, to-do tracking. More surface area, more abstraction, more decisions made for you. Pi bets against […]

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Sharing Local LLM Models Between Ollama and llama.cpp

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Sharing local LLM models between Ollama and llama.cpp seems like a niche concern until you’ve burned through tens of GB of disk space on duplicate copies of the same model. The two tools use completely different storage formats by default, but you can configure them to share one file. Table of contents The problem: data […]

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Why TypeScript Became the Language of AI Applications

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Python still owns the models. TypeScript ate the application layer. Here’s why — and what it means for what you build next. Table Of Contents The framing nobody puts on the cover If you read tech headlines in late 2025 and early 2026, you’ve probably seen the claim that TypeScript “overtook Python” or “won AI.” […]

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How to evaluate an AI skill

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You installed a skill. The README looks fine. The demo in the docs worked on the first try. Should you keep it? You can’t tell from the README. You have to run the skill on your own work and look at what comes out. This post walks through doing that. We start with the simplest […]

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