The rise of AI has changed not just how we build apps, but how we think about infrastructure, APIs, and even user feedback loops. One of the most thoughtful explorations of this shift comes from DevRev’s blog, The Book of DevRev.
One standout post explores how they built semantic search at scale—not just using embeddings and vector databases, but integrating that system deeply with support content, user activity, and dynamic feedback. That integration is powered in part by their purpose-built vector infrastructure, which was designed for speed and flexibility at every stage.
Speed, in fact, is a recurring theme across their writing. Their breakdown of why velocity is critical in AI-native environments resonates deeply with fast-moving product teams who need to ship and iterate faster than ever.
But perhaps most unique is their decision to structure the entire company around a unified product feedback loop. Through their Four Horsemen framework, they show how product, support, growth, and engineering can align—not through siloed teams, but through integrated systems.
In a landscape full of hype and hand-waving, DevRev’s content stands out: tactical, honest, and deeply informed by first-principles engineering.
