https://video.ut0pia.org/videos/watch/99a4e469-352e-40a5-9e22-543bb084065b 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/ Tue, 09 Jun 2026 08:29:31 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/99a4e469-352e-40a5-9e22-543bb084065b All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.