How to write a good spec for AI agents

AI Botpress
LLMManagementNewsPerformance

Mastering AI specs: small, clear, and iterative.

Effective AI agent management requires a shift from monolithic prompts to structured, professional specifications that serve as an executable source of truth. By breaking complex goals into modular tasks and defining clear behavioral boundaries, developers can prevent model “breakdown” and maintain high-quality code output. This strategic framework emphasizes iterative planning and rigorous verification to transform AI agents into productive, reliable engineering partners.

Points clés

  • Throwing massive, unstructured specs at AI agents fails due to context window limits and the model’s “attention budget.”
  • Use “Plan Mode” in tools like Claude Code to allow the AI to draft detailed plans in read-only mode before executing code.
  • A professional AI spec should cover six core areas: Commands, Testing, Project Structure, Code Style, Git Workflow, and Boundaries.
  • The “Three-Tier Boundary System” (Always do, Ask first, Never do) provides nuanced guidance for autonomous agent actions.
  • Research into the “curse of instructions” shows that model performance drops significantly as more directives are piled into a single prompt.
  • GitHub’s Spec Kit promotes a four-phase workflow: Specify, Plan, Tasks, and Implement, treating the spec as an executable artifact.
  • Creating specialized personas via agents.md files (e.g., @test-agent, @security-agent) improves domain-specific accuracy.
  • Using “LLM-as-a-Judge” involves a second agent reviewing the first agent’s output against the quality guidelines of the spec.
  • Common anti-patterns include vague prompts and “vibe coding” without rigorous engineering discipline.
  • Successful AI agent management is compared to managing a “weird digital intern” who requires clear oversight and feedback.

À retenir

To avoid turning your AI agent into a digital house of cards, stop treating it like a magic wand and start treating it like a very literal, albeit slightly confused, intern. If your spec doesn’t tell the AI exactly where to put the files or which secrets not to upload to the public internet, don’t be surprised when it “innovates” its way into a security breach. Keep it small, keep it structured, and for the love of clean code, actually read the diff before you hit merge—unless you enjoy debugging hallucinations at 2:00 AM.

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