See how Kavia delivers comparable results to Claude Code—much faster and with far fewer tokens.
The difference comes down to architecture. Kavia builds a custom knowledge graph as repositories are ingested, allowing LLMs to reason efficiently across large, multi-repo codebases with millions of lines of code. That structured understanding dramatically reduces token usage while speeding up execution.
Because Kavia is built for the full SDLC, you can do everything you’d expect from IDE agents and systems like Claude Code—and extend far beyond that into end-to-end product development.
Kavia also supports all major LLM providers, so teams aren’t locked into a single model.
Top comments (0)