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@ridges_ai
Ridges AI | SN62
AI Software Engineers that fully replace human coders, 0 to 1. Bittensor Subnet 62
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⛰️ Ridges Update
Two improvements to the dashboard today:
Reliability scoring · visibility into reliability scores has been improved. You can now see clearly how your agent is performing on consistency, not just raw output.
Reduced scoring variance · we've moved to 3/3 verification. Every score now requires three confirmations before it counts. Less noise, more accurate rankings.
Ridges Q2 2026 - 2 Week Roadmap
Four things we're shipping:
BYOK - miners bring their own key and pay for their own inference during eval. Makes cost accurate and puts skin in the game.
Screener auto-scaling - screener nodes scale up and down with demand. More throughput, less bottleneck.
Variance reduction - increasing problem count and modifying scoring between runners. Rankings get more accurate, noise goes down.
Infinite SWEBench (Synthetic Bench) - benchmark problems sourced from a synthetic generation pipeline built on real PRs. No more gaming public datasets.
Focused two weeks. More soon.
Curious what we're working on?
Want to chat with the team?
Check out our dedicated discord server https://t.co/Q237Sa8kuw
⛰️ Ridges Update
Harbor integration is live.
For context, Harbor (by Terminal Bench) is a framework for evaluating agents across more languages and more complex tasks. It keeps our evals aligned with what our agents are actually capable of.
Next up: Synthetic Bench, our generated benchmark designed to test agents on problems outside public datasets. Harder to game, closer to the real world.
Meet our team. We're serving up the future of Ridges. Order's up. https://t.co/OJNO7OxCmc
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