Unvibe Teams · GitHub-first

Keep your engineering team ahead of its codebase.

Unvibe turns meaningful code changes into shared knowledge, then shows where understanding is missing, stale, or concentrated.

Unvibe Teams · Founding pilot

Code changes fast. Shared understanding should keep up.

Connect GitHub, turn meaningful changes into shared context, and see where knowledge is missing, stale, or concentrated—without ranking engineers.

  • Understand changesPR walkthroughs and project-grounded explanations.
  • Preserve knowledgeVerified context linked to repositories, systems, and concepts.
  • See knowledge riskTransparent coverage, freshness, and concentration signals.
ACME ENGINEERINGPILOT PREVIEW
Team understanding74%
↑ 6%
Understanding gap14 pts
↓ 8 pts
Knowledge freshness69%
↑ 4%
Knowledge riskMEDIUM

Illustrative preview. A score appears only when enough source evidence exists, with a visible “Why?” explanation.

A measured rollout

One useful layer at a time.

The personal product remains the developer wedge. Teams turns verified understanding events into shared engineering intelligence.

Founding pilot

Understand meaningful changes

GitHub-connected repository and PR context, project-grounded explanations, and explicit walkthrough evidence.

  • Organization and repository connection
  • PR understanding
  • Shared, verified context
Pilot roadmap

Make understanding visible

Simple percentages, bars, trends, and evidence counts—each with a visible explanation of what moved the number.

  • Team and repository coverage
  • Knowledge matrix and freshness
  • Concentration, risk, and Understanding Gap
Planned

Act on the next gap

Project-native recommendations that point to a real PR, architecture path, concept, or repository walkthrough.

  • Engineering onboarding
  • Weekly knowledge brief
  • Ask Engineering and architecture context

Evidence, not surveillance

Understanding coverage is not employee performance.

Commit activity can establish familiarity, but it never proves comprehension. Unvibe uses explicit evidence, shows why a score changed, and says “Not enough data” when the evidence is thin.

Every Teams metric must:
  • Expose its contributing evidence and weights.
  • Separate source evidence from AI inference.
  • Avoid leaderboards and “good/bad engineer” labels.
  • Handle loading, missing-data, error, and insufficient-evidence states.

Enterprise roadmap

Governance comes after the useful foundation.

Organization intelligence, policies, permissions, audit events, and retention controls are planned. SSO/SAML, SCIM, BYOK, VPC deployment, data residency, and SLA support are later-stage capabilities—not current claims.