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Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo Analytics Table
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Give an agent your full codebase and it will attend to the start and the end, then quietly drop the middle. Nupur from Qodo calls this the U curve and builds the whole talk around it: why growing the context window did not fix the problem, and what actually does. She runs through iterative retrieval, hierarchical summarization, and self correction with honest cost tradeoffs for each. The second half covers the orchestration paradox: capable models burn most of their tokens deciding how to solve a problem rather than solving it. Her team's fix is an 80/20 split, using high reasoning models for open ended discovery and lighter deterministic models for validation. Qodo's code review architecture runs this live: a context collector feeds specialized agents, a judge node recombines the results and weighs them against PR history, and every accepted or rejected suggestion shifts the weights for the next run. Speaker info: - https://www.linkedin.com/in/nupursh/ --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/EcqMYoIV57A-why-more-context-makes-your-agent-dumber-and-what-to-do-about-it Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---
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