PRDs with actual technical detail.
Foundation connects product requirements to system design — and turns both into structured context for AI coding agents. No vague user stories; specs that reflect how your system actually works.
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Stop hunting for scattered documentation.
Requirements in Confluence. Architecture in Notion. Decisions in Slack threads. Foundation puts PRDs, TDDs, and diagrams in one place—linked, versioned, and readable by both humans and AI tools.
Built for Engineering
Built for developers who read the spec
PRD Context, Not Just Stories
Requirements include constraints, data models, and edge cases. The context you need to make implementation decisions— without scheduling a meeting.
AI That Understands Your System
Context-aware suggestions built on your existing TDDs and architecture decisions. AI fills gaps in the spec, not gaps in your codebase.
TDD Integration
PRDs and Technical Design Documents are linked. Product intent flows to architecture. Technical constraints surface back to requirements.
Exports in Formats You Use
Markdown, PDF, DOCX—rendered with diagrams, not raw Mermaid code. Linear, Notion, and Jira exports keep specs where your team tracks work.
MCP for AI Tools
Let Claude, Cursor, and coding agents read your specs directly via MCP. Your PRDs and TDDs become context for every AI-assisted implementation.
Agent Instructions
Define custom agent behaviors for development workflows
Ollama Support
Use Ollama for self-hosted AI, or bring your own API keys
Brainstorm Mode
Brainstorm technical approaches before diving into code
Linear Sync
Bi-directional sync with Linear to keep specs and issues in sync
Version History
Full version history with explicit change tracking. Know when requirements changed and why—no silent edits, no mystery diffs.
Specs that match how you build
Start with a template. Connect your TDD. Export to the tools your team already uses.