A chronological collection of insights on technical specification, product strategy, and AI-driven documentation.
Turn your specs from static documentation into enforceable contracts by building verification into your workflow: from manual checklists to automated test mapping and browser-based verification, plus continuous alignment practices.
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 reviews catch design bugs before implementation starts. Learn why they matter, who should be involved, and how to run them efficiently.
A practical guide to structuring spec files in your repository, maintaining a spec index, naming conventions, and integrating specs into your Git workflow—including how to use specs effectively with AI coding tools.
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.
How to write observable, unambiguous, complete, and independent acceptance criteria that translate directly into automated tests and AI-executable contracts.
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.
A practical, battle-tested template for writing clear, concise specs, plus a worked example for adding user search to a product.
Spec-Driven Development (SDD) makes structured specifications the single source of truth for your software projects, preventing scope creep, misalignment, and rework—especially in AI-assisted development.
Spec-Driven Development is an approach where software implementation starts from a clear, structured specification rather than vague ideas, scattered tickets, or incomplete conversations.
