Guide Jan 22, 2026 · 7 min read · By Alp Yalay
The 5 Documents Every AI Coding Project Needs
Well-documented AI coding projects ship faster, have fewer bugs, and are easier to maintain. Here are the five essential documents that every AI-assisted development project should have — and how to generate them automatically.
The 5 Essential Documents
- Research Report: Market analysis, competitor research, and technical feasibility assessment. Validates your assumptions before you invest time building.
- Product Requirements Document (PRD): User stories, feature specifications, acceptance criteria, success metrics. The source of truth for what to build.
- Technical Design Document: Database schema, API specifications, component architecture, tech stack decisions. The blueprint for how to build it.
- AGENTS.md: The universal brain file for AI coding assistants. Combines project context, coding standards, and architecture decisions into a single document that works across all major AI coding tools.
- Testing Documentation: Test scenarios, edge cases, and acceptance tests that verify the built product matches the requirements.
Generating All 5 Documents Automatically
Vibe-Coding Workflow generates documents 1-4 automatically through its 5-step wizard. You answer questions about your app, your experience level, and your tech preferences — the AI produces all four core documents in under 30 minutes. The testing documentation is generated as part of the technical design step for projects that include it in scope.