Engineering intelligence
Extraordinary claims by coding agents require extraordinary evidence
Factimonious analyzes AI-assisted code repository activity, semantic code changes, and software engineering signals to produce trustworthy daily standups, grounded weekly retrospectives, and verifiable codebase confidence.
Repository activity
- feat/auth3 commits
- fix/api1 commit
- chore/ciworkflow
Standup (generated)
Summary · Hardened OAuth callback paths and tightened API error responses; CI now gates on the new contract tests.
Grounded in 4 commits, 2 PRs, workflow_run #1842
Product
See it in action
Evidence-grounded standups
The problem
Velocity without visibility
AI-assisted development is reshaping how software moves. But the old signals for understanding real progress are breaking down.
- —Commit messages and PR descriptions increasingly diverge from what actually landed.
- —Standups and retros drift into narrative theater instead of grounded engineering truth.
- —Teams lose situational awareness as generation speed outpaces human review capacity.
The approach
From activity to evidence to narrative
Inputs
- Commits and diffs
- Pull requests
- Tests and workflows
- Repository structure
Processing
- Semantic analysis
- Evidence extraction
- Narrative compression
Outputs
- Standups and retros
- Engineering intelligence
- Explainability (by tier)
Capabilities
Built for teams that ship with agents and automation
Evidence-grounded standups
Engineering updates generated from commits, PRs, diffs, and workflow signals—not from hand-wavy summaries.
Semantic change analysis
Surface what changed in meaning and structure, not only which files were touched.
AI-native visibility
Built for high-velocity, agent-assisted delivery where commit messages and PR blurbs are often synthetic.
Explain mode
Trace conclusions back to concrete repository evidence (available on paid tiers).
Organization analytics
Cross-repo and team-level intelligence for growing engineering orgs.
Why it matters
Human attention is a scarce resource
As AI-generated software accelerates, the hardest problem is no longer producing code. Now it is knowing what AI changed, why it matters, and whether you can trust it.
Factimonious is infrastructure for software engineering confidence.