Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo
Jun 8, 2026 · 26:27
Nupur Sharma from Qodo explains why giving an AI agent more context often makes it dumber, describing the 'U curve' where models attend only to the start and end of inputs while dropping the middle. She covers practical fixes: iterative retrieval, hierarchical summarization, and self-correction with honest cost tradeoffs. The talk introduces the 'orchestration paradox'—smart models waste most tokens figuring out how to solve a problem rather than solving it—and Qodo's 80/20 hybrid: high-reasoning models for open-ended discovery, lighter deterministic models for validation. Sharma walks through Qodo's code review architecture: a context collector feeds specialized agents (security, code quality, etc.), a judge node recombines results against PR history, and every accepted or rejected suggestion shifts weighting for future reviews.
