[DeepEval] AI-agent-friendly documentation with structured examples

Today DeepEval crossed 15,000 stars, and we wanted to mark the moment with something meaningful. DeepEval started as a small PyTest integration when we first started building Confident AI (YC W25). Today it is used by half of Fortune 500s, including teams at companies like Google, where I used to work, Uber, the company that helps many of us get around the city, and LEGO, a brand that still feels close to home for a lot of us. That milestone means a lot to us because it is not just a number. It reflects the developers who have tried DeepEval, shared feedback, reported bugs, contributed improvements, and helped the project keep growing. Alongside that milestone, we also wanted to ship something meaningful on the product side: a new docs and website experience that feels easier to navigate, easier to understand, and much more developer-first. We also wanted to take the chance to give credit to those who make DeepEval possible. This project has always been shaped by the community, and the contributors you now see in the sidebar are a small but important way of acknowledging that DeepEval is built by many hands, not just a single team. Whether you are getting started with your first eval, comparing frameworks, or digging into advanced evaluation workflows, the new experience is designed to make it easier to find the right path without friction and to surface the actual value DeepEval provides much more clearly. The redesign is also meant for the agentic coding era. We wanted the docs to be more AI-agent-friendly, easier to parse, easier to search, and easier to act on, while still feeling much better for human developers. That means clearer information architecture, more approachable guides, better landing pages, and a more functional experience overall so developers can move faster from discovery to implementation. For us, this update is more than a visual refresh. It is the beginning of a better developer experience around DeepEval, and a better way to recognize the people helping shape where it goes next. Sometime over the next 2 weeks - we'll be releasing DeepEval 4.0 stay tuned! Announcement post in comments. PS. We somehow matched the new design's palette with our merch's off-white color :)