Factimonious
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Engineering intelligence

Engineering narratives grounded in repository evidence.

Factimonious analyzes repository activity, semantic code changes, and engineering signals to produce trustworthy standups, retrospectives, and software intelligence.

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Repository activity

  • feat/auth3 commits
  • fix/api1 commit
  • chore/ciworkflow
evidence graph

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

The problem

Velocity without visibility

AI-assisted development is reshaping how software moves—but the old signals for understanding 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

Understanding is the scarce resource

As AI-generated software accelerates, the hard problem is no longer writing code—it is knowing what changed, why it matters, and whether you can trust it.

Factimonious is infrastructure for trustworthy engineering understanding—not another generic summarization layer.