Learn how to write effective specifications for AI coding agents to improve clarity, focus, and productivity in your AI-driven development workflows.

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Addy Osmani

Writing effective specifications for AI coding agents requires balancing clarity with conciseness. Start with high-level vision and let the AI draft details, structure specs like professional PRDs covering commands, testing, project structure, code style, git workflow, and boundaries. Break large tasks into modular prompts to avoid context overload, use three-tier boundaries (Always/Ask/Never) for quality control, and treat spec-writing as an iterative process with continuous testing and refinement. Plan in read-only mode first, then execute incrementally while maintaining the spec as a living document that evolves with the project.

How to write a good spec for AI agents

1. Start with a high-level vision and let the AI draft the details

2. Structure the spec like a professional PRD (or SRS)

3. Break tasks into modular prompts and context, not one big prompt

4. Build in self-checks, constraints, and human expertise

5. Test, iterate, and evolve the spec (and use the right tools)