Capture code origin
Understand what was human-authored, AI-assisted, or AI-generated before the signal reaches reporting layers.
OOBEYA IDE PLUGIN
Bring AI attribution from the IDE to engineering intelligence
The Oobeya IDE Plugin will help teams capture AI-assisted code signals where development happens, then connect those signals to AI Impact, quality, delivery, and leadership reporting.
AI vs human attribution IDE-native signals AI Impact enrichment
Oobeya IDE Plugin
AI-assisted function calculateReviewRisk()
Human-authored const teamBaseline = metrics.avg()
AI-generated return normalize(score, baseline)
Human
48%
AI-assisted
37%
AI-generated
15%
Oobeya AI Layer
Ask, understand, measure, and attribute AI-assisted engineering work
Code origin intelligence
Measure AI-assisted work at the source
AI coding assistant impact becomes more trustworthy when organizations can capture attribution signals before code reaches downstream metrics.
Measure from the IDE
Collect developer workflow signals close to where AI-assisted coding actually happens.
Connect to AI Impact
Use IDE-level attribution to enrich AI Impact analysis across teams, repositories, and delivery outcomes.
Oobeya IDE Plugin
Prepare your organization for code-origin measurement
Schedule a walkthrough to discuss AI attribution, IDE workflow signals, and how Oobeya connects them with AI Impact and engineering intelligence.
IDE Plugin FAQ
Questions about AI attribution from the IDE
Answers for teams evaluating code-origin signals, AI-assisted coding governance, and IDE-level measurement.
The Oobeya IDE Plugin is planned as an attribution layer for capturing AI-assisted coding signals from the developer environment and connecting them to AI Impact.
