Ridges AI PriceSN62

What is Ridges AI (SN62)?

Ridges AI (SN62) is a Bittensor subnet that functions as an open-source agent competition platform, where miners compete and collaborate on software engineering problems. The project describes its mission as "evolving AI agents to be better and better able to solve software engineering problems end-to-end." Ridges AI positions itself as "The future of software engineering" and focuses on building autonomous AI coding agents on the Bittensor network. The subnet operates as Subnet 62 within the Bittensor ecosystem, with miners developing Python-based AI software engineering agents that solve software development problems inside sandboxed environments. The native token SN62 has a maximum supply of 21,000,000 coins, with circulating supply reported between approximately 4.37 million and 5.36 million across different data snapshots. Ridgeline, a product layer that brings the subnet's AI coding agents directly to developers, was announced on March 6, 2026 (per SimplyTao).

Key Specifications & Tokenomics

• Name: Ridges AI
• Ticker / Symbol: SN62
• Blockchain / Network: Bittensor (Subnet 62)
• Contract Address: 62 (on Bittensor)
• Category: AI & Big Data, Bittensor Ecosystem, Bittensor Subnets, Artificial Intelligence (AI), Bittensor Tokens
• Max Supply: 21,000,000 SN62
• Circulating Supply: 4.37M–5.36M SN62 depending on snapshot
• Consensus Mechanism: Bittensor subnet incentive mechanism
• Official Website: https://www.ridges.ai/
• Whitepaper / Docs: https://docs.ridges.ai/
• Source Code: https://github.com/ridgesai/ridges
• Explorers: taostats.io, tao.app

Who created Ridges AI?

Shakeel Hussein, known as Shak, serves as CEO of Ridges (Subnet 62). He has been referenced in a LinkedIn post by dsvfund regarding a "Subnet Session with Shak Hussein from Ridges" and in a "Revenue Search" episode titled "Ridges CEO on replacing engineers with AI agents." A video titled "Ridges CEO on replacing engineers with AI agents" features Shakeel Hussein, CEO of Ridges (Subnet 62). The project's X account (@ridges_ai) has posted "Meet our team. We're serving up the future of Ridges. Order's up," indicating a team is in place, though detailed public information about individual team members beyond the CEO is currently limited. CoinGecko notes that Ridges AI was developed by the team previously known as Agentao, and lists names including Aaron Ridges, Adam Ridges, and Stephen Ridges.

How does Ridges AI work?

Ridges AI operates as a Bittensor subnet where miners develop open-source AI software engineering agents using Python, with access to inference and embedding endpoints. Agents must solve various software development problems within sandboxed environments, returning valid git diffs as their output. The protocol rewards the highest-scoring agents, encouraging both innovation and collaborative improvement across the network. Every submitted agent is open sourced and evaluated, creating a transparent and competitive development environment. The subnet's product layer, Ridgeline, brings these AI coding agents directly to developers, allowing users to solve GitHub issues using the project's state-of-the-art agents. According to reports, Subnet 62 (ridges_ai) achieved an 80% score on SWE-Bench, a leading benchmark for natural language, as reported on September 1, 2025. According to reports, Subnet 62 (ridges_ai) scored 80% on SWE-Bench (reported Sep 1, 2025), a result described as surpassing major AI players such as Anthropic and OpenAI.

What makes Ridges AI unique and valuable?

Ridges AI distinguishes itself through its focus on end-to-end software engineering automation, positioning its agents as tools that automate parts of software engineering work. The project's agents tackle practical software development challenges, including database engineering problems, bug fixes, query optimization, and working with ORMs. The open-source nature of every submitted agent ensures transparency and allows for continuous collaborative improvement. According to reports, Subnet 62 (ridges_ai) scored 80% on SWE-Bench (reported Sep 1, 2025), a result described as surpassing major AI players such as Anthropic and OpenAI. Additionally, Ridgeline as a developer-facing product demonstrates the project's move toward a practical tool for solving real GitHub issues, bridging the gap between decentralized AI development and everyday developer workflows.

What is Ridges AI used for?

The SN62 token serves as the native asset of the Ridges AI subnet within the Bittensor ecosystem. It is used to reward miners who develop the highest-scoring AI software engineering agents, creating an economic incentive for continuous improvement of the subnet's capabilities. The token facilitates the subnet's competition mechanism, where participants stake and earn based on the performance of their submitted agents. SN62 trades on a limited number of active markets; per Yahoo Finance it was trading on 2 active markets. The token also represents participation in the broader Bittensor ecosystem, where subnet tokens derive value from the utility and performance of their respective subnets. As the project develops Ridgeline and expands its agent capabilities, SN62 functions as the economic backbone connecting miners, developers, and users of the AI coding agents.

How Is the Ridges AI ecosystem developing?

The Ridges AI ecosystem has shown steady development, marked by the announcement of Ridgeline on March 6, 2026, a product layer that brings the subnet's AI coding agents directly to developers. Users can leverage Ridges' agents to solve GitHub issues today, while also participating in the development of next-generation agents by joining competitions as miners. The project maintains an open-source repository at github.com/ridgesai/ridges. According to a Kraken blog post dated July 21, 2026, SN62 became available for trading on Kraken. Community engagement is facilitated through the project's X account (@ridges_ai), GitHub, and various cryptocurrency data platforms.

How to mine Ridges AI?

Mining Ridges AI involves participating as a miner in the Bittensor Subnet 62 competition. Miners develop open-source AI software engineering agents using Python, with access to inference and embedding endpoints provided by the network. The agents must solve software development problems within sandboxed environments and return valid git diffs as solutions. Rewards are distributed to the highest-scoring agents, incentivizing miners to continuously improve their agents' performance on software engineering tasks. Every submitted agent is open sourced and evaluated, meaning miners contribute to the collective knowledge of the subnet while competing for rewards. To participate, miners need to join the Bittensor network, register on Subnet 62, and develop agents capable of solving database engineering problems, fixing bugs, optimizing queries, and working with ORMs. The competitive nature of the subnet encourages both innovation and collaborative improvement.

How to keep your Ridges AI Coin safe?

Keeping SN62 tokens safe requires following standard cryptocurrency security practices. Since SN62 operates on the Bittensor network, users should use compatible wallets that support Bittensor-based assets and subnet tokens. Store private keys and seed phrases securely offline, never sharing them with anyone or entering them into suspicious websites or applications. When trading SN62, use reputable platforms and verify contract addresses before executing transactions. SN62 is identified on Bittensor by its subnet number, 62; it is a Bittensor subnet token rather than an ERC-20 contract. Consider using hardware wallets for significant holdings to protect against online threats. Enable two-factor authentication on exchange accounts and remain cautious of phishing attempts, fake social media accounts, and unsolicited offers related to Ridges AI. Regularly review wallet permissions and revoke access to any applications no longer in use. Staying informed through official channels such as the project's website and verified X account helps users avoid scams and make informed security decisions.

Risks and uncertainties

SN62 is subject to significant price volatility, and its value can change rapidly. Regulatory treatment of crypto assets and Bittensor subnets varies by jurisdiction and may change. The project also carries technical risk, including the possibility of software defects, network disruptions, and the challenge of maintaining agent performance over time. The points above are not exhaustive, and readers should treat performance claims as reported rather than guaranteed.

This article is for reference only and does not constitute investment advice.