Continuous Production Performance Optimization via Agents
AI Engineer · youtube · 2026-07-19
This talk shares how Hud integrates **runtime context** into coding agents for continuous production performance optimization. The core problem is that performance degradation in mature codebases often accumulates silently; teams know there might be issues but find it hard to pause feature development to investigate or estimate the time needed. Hud's approach involves having agents analyze real production environment data to automatically identify **high-ROI** optimization points, scoring them by complexity and impact to help tech leads prioritize the most worthwhile fixes. In their case study, the system discovered and fixed **N+1 queries** and **missing database indexes** in its first week, delivering measurable **P90 latency improvements** post-launch. Tech leads can now receive actionable reports directly before sprint planning, shifting from "just knowing there's a problem" to "seeing exactly how to fix it."
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