How SpecStory prepared their website for AI search
Unlock AI-driven development with SpecStory: preserve intent, maintain code clarity, and keep prompts integrated for seamless software creation.
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Key Insights
Focused approach
A streamlined 3-section structure keeps things simple and scannable.
Two-file approach
Uses both llms.txt and llms-full.txt for different AI use cases.
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# SpecStory
> AI development workflow platform that preserves the intent behind code generation, keeping prompts and specifications together with generated code.
SpecStory enhances AI-powered software development by making AI output understandable and maintainable. We believe "Intent is the new source code" - in AI-first development, understanding the "why" behind code is as important as the code itself.
## Products
- [SpecStory Extensions](https://specstory.com): Free extensions for Cursor, VS Code with GitHub Copilot, and Claude Code that auto-save prompts alongside generated code
- [BearClaude](https://bearclaude.specstory.com): Standalone macOS app for spec-first development with Claude
## Resources
- [Documentation](https://docs.specstory.com): Getting started guides and API references
- [Blog](https://specstory.com/blog): Articles about AI development best practices
- [Whitepaper](https://specstory.com/whitepapers/beyond-code-centric-specstory-2025.pdf): "Beyond Code-Centric" - How AI shifts the bottleneck from coding to specification clarity
- [GitHub](https://github.com/specstoryai): Open source projects and examples
## Company
- [About](https://specstory.com/company): Our mission and team
- [For Teams](https://specstory.com/teams): Git integration for prompt-aware code reviews
- [Privacy Policy](https://specstory.com/privacy): How we protect your data
- [Terms of Service](https://specstory.com/terms): Legal terms for using SpecStory
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