DevDiff Prototype: Real-Time PR Risk Intelligence (Rules + ML + LLM + Feedback Learning)
Built and demoed DevDiff — a real-time pull request risk intelligence prototype.
In this video, I show how DevDiff analyzes PRs using:
20-rule static engine
Custom Random Forest ML scoring
Optional Groq LLM logic review
Live websocket findings stream
Developer-wise feedback learning (false positive → low priority → ignored)
What you’ll see:
Create/select project
Analyze GitHub PR
Real-time findings + risk score
History, scorecard, heatmap, developer profile
How past patterns and feedback reduce noise in future scans
This is designed as a full loop:
Detect → Score → Explain → Learn
If you want the source walkthrough + architecture breakdown, comment “ARCHITECTURE”.
On this page of the site you can watch the video online DevDiff Prototype: Real-Time PR Risk Intelligence (Rules + ML + LLM + Feedback Learning) with a duration of hours minute second in good quality, which was uploaded by the user 3K Verse 21 March 2026, share the link with friends and acquaintances, this video has already been watched 40 times on youtube and it was liked by 4 viewers. Enjoy your viewing!
