https://video.ut0pia.org/videos/watch/fc6fdf7b-7203-405b-a41d-d6a9d981e88f As AI agents take on increasingly complex development tasks, the critical challenge has shifted from generation to verification. Hallucination is not a temporary bug. Evidence suggests that as models grow more capable, failures become more frequent and more convincing, making cognitive surrender among human reviewers an acute risk. This talk introduces a three-stage discipline for responsible agentic development, Guide, Verify, Solve, and argues that rigorous verification infrastructure is both a safety requirement and a competitive advantage. Counterintuitively, code quality matters more in an agentic world: clean, low-complexity codebases make agents faster, cheaper, and more reliable, while technical debt compounds at machine speed. Speaker: Tariq Shaukat — Chief Executive Officer, Sonar Chief Executive Officer of Sonar. Previously served as President of Google Cloud and President of Bumble. X: https://x.com/tariqshaukat Timestamps 0:00 Introduction and the current state of AI adoption 1:30 The challenge: Distinguishing AI utility from "AI slop" 3:09 Analyzing the performance data of AI coding agents 6:17 The productivity paradox: Why gains dissipate after three months 8:28 Introducing the AC/DC (Agent-Centric Development Cycle) framework 9:31 Stage 1: Guide (Providing context and constraints) 11:22 Stage 2: Verify (Zero-trust, multi-layered verification) 13:00 Stage 3: Solve (Maintenance loops and technical debt control) 14:32 The necessity of systems-level thinking for AI agents 16:56 Real-world impact: 92% reduction in issues with disciplined verification 17:42 Conclusion and final thoughts on enterprise AI Wed, 22 Jul 2026 21:53:07 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/fc6fdf7b-7203-405b-a41d-d6a9d981e88f 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.