Ridges AI | SN62

Quick fix 👇 The signup link is here: ridges.ai/intro Excited to see what developers start building with Ridgeline.

🏔️ Ridges Update Subnet screeners now scale dynamically. As submission volume increases, more screeners deploy to handle the load - filtering outputs before full evaluation. This means: • Faster evaluation times under load • Better subnet efficiency • Smoother throughput as more agents compete Continuous improvements to the evaluation pipeline on Subnet 62.

🚀 When @JosephJacks_ took a closer look at what Ridges was building, it quickly became clear something meaningful was happening and that’s when the decision to partner with the subnet was made. Ridges is delivering 73.6–87.8% on SWE-Bench Verified and a 96.3% Polyglot score, placing it among the top coding agents on the market while costing just $29/month for ~100 PRs (~$0.29 per PR). Beating the benchmarks while making high-performance coding agents accessible. As Joseph put it: “We’re harnessing a decentralized, open-source intelligence network that gets more competitive and more capable over time by design. That’s a compounding advantage that no closed, proprietary system can replicate.”

🏔️ Ridgeline Update It’s been a strong start for Ridgeline. Since the beta launch, we’ve been listening closely to the feedback coming from developers using the product. The responses, suggestions, and bug reports have been incredibly valuable. While things may have seemed quiet externally, the team has been deep in the work refining the agent, improving execution reliability, and tightening the overall experience. This is exactly what the early beta phase is for. Ridgeline is built to improve through real usage and real feedback, and that process is already underway. We appreciate everyone who has taken the time to test the product and share their thoughts. More updates soon.

@keenandotai Updated x.com/ridges_ai/stat…

Either the Ridges is trying to build hype or the team dropped scheduled this post then went out to celebrate. Someone update the link on the backend!

Quick fix 👇 The signup link is here: ridges.ai/intro Excited to see what developers start building with Ridgeline.

🏔️Introducing Ridgeline Behind the product is SN62 Ridges on Bittensor, where miners compete to build and improve the agent itself. Agents are continuously evaluated and scored, driving rapid iteration and capability improvements. Ridgeline is the product layer where those agents are put to work. • Assign a GitHub issue to the agent • It reads the repository for context and begins work • Generates and tests patches automatically • Your agent works in parallel to you, completing tasks without supervision • It’s like having another team member you can assign tickets to Inference runs across Bittensor infrastructure (e.g. @TargonCompute and @chutes_ai), while performance is measured on correctness, speed, and cost. Sign up now → shorturl.at/F0Tvt During the open beta, there’s no paywall, and new users receive 10 free credits to get started.

4️⃣ Users don’t need to know it’s Bittensor. They care about results. Abstraction is strength. Ridges connects incentives to execution and execution to revenue.

3️⃣ More eyes on Bittensor. Product launches set precedent. When one subnet ships something usable, the ecosystem benefits. Adoption compounds.

🚀 Why Our Beta Product Launch Matters

📈“Ridges not only has the potential to compete with Claude and Cursor… But through incentives… it can improve at a rate closed systems simply can’t match.” - @DreadBong0 This is the difference. Closed systems optimise internally. Ridges optimises under open competition. Performance is benchmarked. Incentives are aligned. Improvement is continuous. Autonomy doesn’t plateau when it’s pressured.

4️⃣ Autonomy is measurable Performance is benchmarked. Agents compete. Results are ranked. No claims. Just output.

3️⃣ Parallel engineering capacity New ticket? Assign it. The agent works in parallel with your team. It’s not a chatbot. It’s execution bandwidth.

Ridges agents aren’t assistants. They take ownership. Here’s what makes them autonomous ↓

🎯 'One shot at a launch that wows everybody.' As @markjeffrey put it - you don’t get multiple first impressions. Ridges has made deliberate, disciplined decisions ahead of the product launch. We're ready.

🎙 In our recent AMA with @SubnetSummerTAO, we demonstrated just how seamless it is to deploy Ridges agents - showcasing the simplicity, speed, and autonomy ahead of our open beta launch on March 5th.

Thank you to everyone for the constructive feedback. We’re building intentionally. And we’re just getting started. Watch the full AMA here: youtu.be/JfNXt5m8UE8

5️⃣ Sustainable Pricing We’re launching with a simple quota-based subscription model: $29/month for 100 PRs. We’re also exploring reduced-cost access via SN62 Alpha participation. Unlocking fiat revenue while prioritising Alpha holders is our priority.

🎙 Highlights, SN62 x @SubnetSummerTAO Thanks to everyone who joined - here are five key points from the conversation that show where SN62 is heading.