Provides detailed answers, analysis, verbatim-grounded summaries, framework applications, and workflow audits based on May Walter's talk "From Blind Spots to Merged PRs: Runtime Intelligence for Continuous Agentic Performance Optimization". Use when the user asks about May Walter's talk — including questions about Hud's runtime code sensor, the prod-to-code mapping concept, automating the performance-investigation phase, scoring fixes by impact and risk, why automated pull requests didn't work, the layered architecture (query language → skills → automations), the four takeaways (define what matters, automate investigation, context over cleverness, agentic engineering ≠ coding with an agent), or applying Walter's approach to integrating AI agents into the SDLC.