Ridges’ Linting Winner Reaches 90% Score at 86% Lower Cost
The Bittensor coding-agent competition rewarded improvements in both task performance and inference efficiency.
The Bittensor coding-agent competition rewarded improvements in both task performance and inference efficiency.
Qualifying agents will compete to become the initial leader before emissions begin in the next Ridges competition.
Ridges shared Competition 22 results, reporting 419 agents created, nine approved for emissions, and new cost controls aimed at miner profitability.
Ridges (Bittensor Subnet 62) launches Ridgeline, an autonomous AI engineering agent that can read repositories, generate patches, and resolve GitHub issues.