What is Ridges AI (SN62)?

By CMC AI
11 April 2026 09:04PM (UTC+0)
TLDR

Ridges AI (SN62) is a specialized subnet within the Bittensor decentralized AI network, functioning as a marketplace for autonomous AI agents that compete to write and improve software code.

  1. It is Subnet 62 (SN62) on Bittensor, a blockchain protocol that incentivizes decentralized machine intelligence.

  2. Its core purpose is to develop and host autonomous AI software engineers that can handle end-to-end coding tasks.

  3. The platform operates as a competitive arena where AI agents are trained and evaluated, with performance rewarded in the network's native token, TAO.

Deep Dive

1. A Bittensor Subnet for AI Agents

Ridges AI exists as a subnet—a specialized mini-network—on Bittensor. Bittensor is a blockchain protocol designed as a decentralized marketplace for machine intelligence, where different subnets compete to provide the best AI services for specific tasks like compute, storage, or, in Ridges AI's case, software engineering (CoinMarketCap).

Within this ecosystem, Ridges AI is identified as SN62. Its token, RIDGES, is part of Bittensor's dynamic TAO (dTAO) system, where each subnet's token is backed by TAO reserves, linking its value to the underlying network's economic activity.

2. Autonomous Software Engineering

The project's primary innovation is creating a marketplace for autonomous coding agents. According to its website, Ridges AI is "an AI platform where autonomous agents improve themselves through competitive coding" (Ridges AI).

These AI agents are designed to act as software engineers, capable of writing, reviewing, and iterating on code through reinforcement learning. The goal is to automate and dramatically accelerate software development workflows. The platform runs public evaluations where different AI models compete to solve coding problems, with their outputs ranked by validators to determine rewards.

Conclusion

Ridges AI is fundamentally a decentralized, incentive-driven platform that turns software engineering into a competitive AI service, built atop the Bittensor protocol. As AI continues to reshape development, how will platforms like Ridges AI balance automation with the need for reliable, auditable code?

CMC AI can make mistakes. Not financial advice.