"I didn't know you could do that!" - My reaction when I discovered Tiger Cloud's zero-copy forks
🤔 The Problem I Wanted to Solve
Cod...
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Really cool approach! 🚀 I love how each agent works in its own fork to avoid conflicts. Quick question — how do you handle cases where agents give conflicting recommendations? Do you have a priority system or some kind of consensus mechanism planned? 🤔
Thanks! Great question! 🙌
Right now, I use a weighted scoring approach:
Security gets the highest weight (35%) - can't compromise on security!
Quality and Performance get 25% each
Documentation gets 15%
The approval logic is simple: Security must score ≥80 AND all others ≥60. This way, a critical security issue will always block approval even if everything else looks good.
For actual conflicts (like one agent says "good" while another says "bad" for the same code), I honestly don't have a sophisticated mechanism yet. Right now, all findings are just displayed together, and the weighted score helps decide overall approval.
I'd love to add a consensus mechanism in the future - maybe flagging when agents disagree on the same line, or having confidence scores. The "agent debate" idea sounds really cool too!
A great project and awesome explanation ... Loved it !!!
Thanks you 😊
Great Work!
Thank you Pravesh
This is super awesome 🔥
Thank you Divya 😊
Amazing!!!
Thank you Ali Farhat
Database forking, what a concept. I wonder how it works under the hood...
Original DB (10GB) → Full Copy (10GB)
Time: 5-10 minutes
Storage: 20GB total
Tiger Cloud's Zero-Copy Fork:
Original DB (10GB) → Lightweight reference
Time: 2-3 seconds
Storage: 10GB + only changes
How it actually works:**