Ensure agents understand your project before they write code
Define coding conventions, architecture rules and project background once. Agents fetch the full picture via MCP, so they build from awareness, not assumptions.
AI that works with your specs, not around them
Agent instructions
Write per-project coding guidelines including naming conventions, architecture rules and security requirements. Agents read them before writing code.
One-click prompt copy
Generate a ready-to-paste prompt from your project instructions. Drop it into any AI tool to give your agent full context instantly.
AI-powered import
Paste meeting notes, PRDs, Slack threads or upload PDFs. AI extracts features, tests and decisions for you to review and accept.
Project background context
Define your tech stack, domain knowledge and architecture patterns once. Every AI interaction is informed by this context.
AI synthesis
Feed in any unstructured content. Specsource synthesises it into structured specifications like features, tests and ADRs for your approval.
Human-in-the-loop
Every AI-generated entity starts as a suggestion. You accept, reject or modify before it becomes part of your spec. Always in control.
Use cases
Onboard a new AI agent
Connect via MCP and your agent immediately understands your codebase conventions, architecture and current features.
Import from meetings
Paste meeting notes. AI extracts action items as features, technical decisions as ADRs, and quality requirements as tests.
Maintain coding standards
Write conventions once. Every agent that connects gets the same rules, ensuring consistent code across all AI-assisted work.
Migrate documentation
Upload existing docs, PRDs or wiki pages. AI restructures them into Specsource entities you can query and link.