#Code Search

Articles about Code Search — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with code search. ← All posts

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Pratik Dhanave · ·7 min read

Grounding in the Codebase — How Agents Understand Code They Didn't Write

A coding agent is only as good as its understanding of the code it's changing, and real codebases are enormous — far larger than any context window. The agent can't read everything, so it must find and load the right code for the task: navigate the repository, search for what's relevant, and build enough understanding to make correct changes. This grounding problem — understanding a large codebase through a small window — is where many coding-agent successes and failures are decided.

A coding agent is only as good as its understanding of the code it's changing, and codebases dwarf the context window. How agents find and understand the right code — search, navigation, strategic reading, repo conventions, semantic retrieval — and why most coding-agent failures are comprehension failures, so grounding is decisive.

#Coding Agents#Context Engineering#Code Search#RAG#AI Agents#Software Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.