This Tool Lets Agents Read Code 200x Faster & Saves 98% of Tokens!
Semble helps AI agents search code 200x faster, cut token use by 98%, and find relevant lines via natural language.
Right now, Agents are increasingly stepping into our code workflows.
From code completion to code review, from refactoring suggestions to automatic test generation, AI has become a powerful assistant for many developers.
But I believe everyone who has used them in depth has run into the same issue:
When an Agent needs to find something in a large codebase, it either blindly guesses keywords or has to read through every file in the entire project.
The result? Either it can’t find what it needs, or tokens pour out like water from a faucet. In a 100k-token context window, more than half is wasted on irrelevant code — it really hurts to watch.
On top of that, just waiting for results is anxiety-inducing. Traditional code search tools can take tens of seconds to index a repository and around ten milliseconds per query. For Agents that need fast, responsive interaction, this simply isn’t good enough.
That was the case — until I discovered Semble, a code search tool built specifically for Agents by the MinishLab team. It feels like it was made exactly to solve this problem.
It allows Agents to directly locate the most relevant lines of code using natural language — no more blind keyword guessing, no more reading the entire project, and with ridiculously fast performance.
