A chronological collection of insights on technical specification, product strategy, and AI-driven documentation.
AI Coding (4 articles)
Clear filtersSpec-Driven Development flips AI coding on its head: the specification becomes the source of truth and code becomes a generated artifact. Here's what SDD means, the tools that power it (GitHub Spec Kit, Kiro, Tessl, cc-sdd), how it works with Claude Code, Codex, and Cursor, plus the benefits, criticisms, and a practical workflow.
A practical workflow for turning an approved spec into a clean, testable implementation—from breaking down acceptance criteria into tasks to structuring your final PR, with AI as a guardrail-driven assistant.
Spec-first AI coding replaces vague prompts and chaotic code generation with a simple workflow: clarify requirements, write a spec, then let the AI implement exactly what you approved.
EARS (Easy Approach to Requirements Syntax) provides five simple patterns that turn vague, natural-language requirements into precise, testable specifications that AI and humans can reliably implement.
