Rethinking Jira, Confluence, and Git for Multi-Layer Products Software teams have spent the last decade debating where requirements should live. Jira and Confluence became the default answer for most organizations — until AI-assisted development started exposing real cracks in that model. With coding agents now consuming, generating, and acting on requirements directly, it’s worth revisiting […]
Read More →If an AI agent writes most of your code and you feel like you’re learning less, you’re looking in the wrong place. Agents now absorb the syntax errors, library quirks, and API docs. What’s left, and what an agent can’t judge for you, is the system around the code. Your job is knowing whether what […]
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 →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 →Spec-driven development treats a structured specification—not the codebase—as the system of record. This post maps who does what when you work that way: from turning product intent into an agent-readable spec, through API contracts and UI rules, to validation that implementation still matches what you wrote down. Table of contents Overview Spec-driven development (SDD) is […]
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