Gergely Orosz is frustrated by AI use in his "No AI" essay competition, believing it undermines genuine human effort. He suggests that when AI is detected, people may assume the entire submission is AI-generated, rendering it pointless. The author agrees with this sentiment but acknowledges valid AI uses, like assisting those with Parkinson's or in language translation. The Grace Hopper Celebration, a crucial event for women and non-binary technologists, has been canceled due to funding issues, impacting diversity efforts. Cindy Sridharan's article on debugging unfamiliar code using AI is highlighted as a valuable resource. Sridharan's approach emphasizes leveraging AI agents' strengths, rather than forcing them to mimic human problem-solving. She argues that AI agents should prioritize EVIDENCE gathering before examining code for debugging. Her method involves distinguishing between raw data (facts) and inferences (hypotheses) made by the agent. Debugging is framed as finding a hypothesis that satisfies all factual data points. The process involves identifying key signals, focusing on promising hypotheses that fit these signals, and validating them against all facts. The author's contributions in these debugging scenarios involved guiding the AI, not necessarily coding expertise. Agents require more raw data, unlike humans who benefit from abstractions. Increased logging is beneficial for AI agents due to their data processing capabilities. Despite AI's potential, human direction remains essential for effective AI use.