Code Intelligence
Did We Actually Build What We Intended?
Connect your Product Map to repositories, pull requests, and implementation evidence. Trace product provenance into code — see what has actually been built, what remains incomplete, and where intent and implementation may be drifting apart.
- Trace feature provenance to repos, PRs, and commits
- Find Product Map features with no corresponding code
- Spot code without a clear product purpose
Code exists. Product clarity often doesn't.
Code can tell us what exists. It cannot always tell us why it exists or what should exist. After vibe coding or rapid delivery, teams lose the link between intent and implementation.
- Features live in tickets, not mapped to repos
- PRs move fast without product-level coverage signals
- Inferred structure from code still needs human review
- Agents generate code without durable product grounding
Code Intelligence
Validate Product Intent Against Code
Connect your Product Map to repositories, pull requests, and implementation evidence to understand what has actually been built, what remains incomplete, and where product intent and implementation may be drifting apart. Trace product provenance into code — not just sync with GitHub.
How it connects
- 1
Feature
- 2
Repository
- 3
Pull Request
- 4
Commit
What Code Intelligence unlocks
Outcomes
- 1Product-to-code validation, not just Git sync
- 2Trace feature provenance to implementation evidence
- 3Identify missing functionality
- 4See what changed in the product after a PR
- 5Keep product intent and code aligned as you evolve
- 6Guide coding agents with structured product context
Built for
- Vibe coders who need to know what their AI build actually covers
- Engineering leads aligning code to product outcomes
- Product managers validating delivery claims
- Teams running coding agents through MCP with shared context
Validate what actually exists
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