CodeGuide
FreeTool that builds documentation for AI-built projects.
FreeFree tier
Outputs: code
About CodeGuide
CodeGuide is a spec-driven platform that transforms ideas into comprehensive documentation for AI coding tools. It generates PRDs, tech specs, wireframes, and more from plain English descriptions, maps existing GitHub codebases for better AI context, and features an autonomous coding agent (Sv2) that can plan, document, and execute code. The platform includes a Chrome extension, access to 200+ LLM models, a model router for optimal model selection, and open-source starter kits (Next.js, React Native, etc.) to accelerate development. Trusted by over 41,000 developers.
Key Features
Generate PRDs, tech specs, wireframes from plain English descriptions
Analyze existing GitHub codebase to provide AI models with project context
Autonomous coding agent (Sv2) that plans, documents, and codes for hours
Chrome extension for generating specs directly from browser
Access to 200+ LLM models (OpenAI, Claude, open-source) with model router
Powerful UI editor with parallel agent execution for UI fixes and new features
Open-source starter kits (Next.js, React Native, Firebase, Supabase) preconfigured for AI models
Refine prompts with AI assistance
Credits-based usage with free, pro, and founder plans
Pros & Cons
Pros
- Reduces AI hallucinations by providing spec-driven context
- Comprehensive documentation generation (PRDs, tech stacks, wireframes)
- Supports both new project ideas and existing codebases
- Open-source starter kits save time and tokens
- Autonomous agent (Sv2) can code for hours with multiple models in sync
- Chrome extension for quick documentation from browser
- Free plan available for getting started
Cons
- Free plan is limited to 120 one-time credits and only one project completion
- Pro and Founder plans may be expensive for heavy users ($24-$29/month)
- Relies on external LLM APIs; users may need to bring their own keys for higher tiers
- Autonomous agent (Sv2) is still in early access (Founder plan only)
Best For
Building production-ready software from an idea with clear specificationsDocumenting legacy or existing GitHub codebases for AI-assisted developmentPlanning and prototyping web apps, mobile apps, and full-stack applicationsReducing AI hallucinations by providing structured project contextAutonomously coding complex features with multi-model agent orchestration