We've found that providing text search indexes to fast models, such as our own Composer 2, creates a qualitative difference for Agentic workflows. The impact is much more pronounced in larger Enterprise repositories, because grep is one of the few Agent operations whose latency scales with the size and complexity of the code being worked on. Take a look at these example workflows running with Composer 2: removing altogether the time spent searching the codebase provides meaningful time savings —particularly when the Agent investigates bugs— and allows for much more effective iteration.
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