Your AI coding agent can get distracted by its own context.
More context doesn’t always make an AI coding agent better. Sometimes, it becomes the problem. AI coding agents can read an entire codebase—but more context doesn’t always make them better.
Tammuz Dubnov (AI Product Development Expert) explains why coding agents can struggle when working inside large software projects.
To make one change, an AI agent may need to read dozens of files just to discover that only two actually matter.
Now the agent has a new problem.
Its context is filled with information that has nothing to do with the task.
Tammuz describes it as a game of distraction: the agent needs enough context to understand the codebase without allowing irrelevant information to pull it away from the original goal.
That becomes especially important when AI coding moves from small vibe-coded apps into massive production systems.
Can giving an AI coding agent too much context actually make it worse?
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