Alex V.

👀 @Revolut has reduced its AI coding costs by 90% by self-hosting open models. And I think their story is worth paying attention to. At @aiDotEngineer NYC, David Abitbol shared how Revolut went from being skeptical about the ROI of closed models to making open-weight models a priority for its engineering teams. Some interesting numbers from their experience: - Around 2,000 engineers using AI tools. - 90% lower AI costs compared with their previous Anthropic and OpenAI spending. - 60% improvement in coding time. - 70% improvement in lead time. - GLM models running on their own GPU infrastructure. 👉They still use closed models for tasks where those models perform better. But open models have become their default for much of their coding workload. One of the most interesting points from the talk is what happens when engineers no longer have to worry about token budgets. They start using AI for more of their work, including the tasks surrounding coding that often slow down delivery. ❤️ This is very close to what we believe at Helmcode. We're seeing more companies reconsider their dependence on closed-model APIs, especially as usage grows and costs become harder to predict. But there's an important difference between Revolut and most companies. Revolut has the scale, engineering resources, and infrastructure to operate its own models. Many teams don't. That's why we built Helmcode around operating open models for companies that want the benefits without having to manage GPUs, inference servers, and deployment themselves. We also offer flat-rate pricing, so teams can scale usage with a predictable bill. We've already seen customers reduce their AI costs by up to 75%. And while there will always be workloads where frontier closed models are the better choice, we're increasingly seeing open models become a practical default for production applications. Revolut's results are a great example of where this is heading. Really worth watching David's talk. It's technical, practical, and full of useful numbers. youtube.com/watch?v=Ok6QdZHC…