Every developer gets an AI coworker that actually knows them.
Autonomous Understanding & Behaviour Inference
AUBI reads your team's GitHub history and builds a persistent AI coworker for each developer. These coworkers know who owns what, share context with each other, and step in when something breaks — without anyone having to ask.
The coworker mesh
Your team — as a living memory.
Each developer's GitHub history is turned into a Context Constitution — a structured memory of what they own, what they know, and how they work. These constitutions power the mesh.
Owner Coworker
Ownership Memory
Expert Coworker
Adjacent Context
Fix Coworker
Patch Generation
PR Coworker
Approval Flow
Latest configured issue routed through AUBI memory
repo: configured target · AUBI routing through live memory
Issue Reader
Ownership Router
Coworker Mesh
Fix Generator
PR Pusher
coworkers loaded from backend memory
Slack messages needed to route an issue
memory facts per developer in Qdrant
from GitHub issue open to merged PR
How it works
Coworkers consult. Bug gets fixed.
Issue opens
A GitHub issue drops. Something is broken in auth. Users are getting 401s.
Right coworker found
AUBI checks who owns auth/ from commit history and constitution memory — no Slack needed.
Coworkers consult each other
The mesh exchanges context from ownership, expertise, known issues, and shared team memory before a fix is generated.
Fix generated
AUBI reads the actual code, writes the patch using shared team context, and runs the tests.
PR pushed
You approve. AUBI opens the PR on GitHub with full context — owner, fix, test results.
Context Constitution
What each coworker remembers.
Built from real GitHub activity. Updated after every incident. No fake data, no self-reported profiles.
ownership
Which files and directories each developer owns, inferred from real commit history.
expertise
Languages, frameworks, and domains each person actually works in — not self-reported.
collaboration style
How they prefer to communicate. Used when drafting fixes and PR messages in their voice.
incident memory
After every resolved incident, the coworker learns. Future runs reuse that context.