From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization - May Walter, Hud

Summary

The main theme is the persistent challenge of accurately estimating the time required for engineering tasks, particularly performance optimizations, leading to reactive rather than proactive problem-solving. Key subjects include engineering vs. product team dynamics, legacy code issues, and the potential of AI agents in software development, referencing Google's Dora metrics. The practical takeaway is the need for better runtime intelligence to provide developers and AI agents with accurate contextual data for efficient production issue resolution and continuous optimization.