Case Study: Kilo achieves up to 7× faster coding agents with FriendliAI

Kilo runs coding agents up to 7× faster with FriendliAI

Kilo, an all-in-one agentic engineering platform for developers, faced the challenge of finding a fast and reliable inference provider for open-weight AI models. They needed a solution that could deliver performance comparable to proprietary models to keep developers in their workflow and ensure multi-step coding agents wouldn't fail. They turned to FriendliAI to solve this.

By implementing FriendliAI's optimized inference, Kilo achieved dramatically faster and more reliable model performance. FriendliAI delivered inference that was up to 7x faster and had significantly lower error rates than other providers Kilo tested. This made open-weight models a viable, first-class option within the Kilo platform, ensuring coding agent workflows remain on track and complete successfully.

Kilo