
Eugene
Eugene Sergueev is a Director of Engineering at Flo Health, where he leads cross-functional teams building large-scale consumer product experiences across content, search, personalization, moderation, and social features.
He works at the intersection of product engineering, team effectiveness, and practical AI adoption. His current focus is making AI-powered development workflows measurable, reliable, governed, and production-ready — especially in environments where quality, privacy, and operational risk matter.
Flo Health Inc, UKesergueev
Your Coding Agent Is Only as Good as Your Company’s Memory
AI Coding Summit NYC
Upcoming
Your Coding Agent Is Only as Good as Your Company’s Memory

Teams often start agent adoption by adding tools: MCP servers, API wrappers, chat interfaces in developer portals. But once coding agents move from local help into real delivery workflows, they usually fail earlier than the tool call. They read stale ownership, conflicting runbooks, missing deploy history, and policies that were written for humans.
This talk introduces company memory as the missing layer for production coding agents: trustworthy, permission-aware engineering context that agents can read, cite, and act on safely. We’ll look at what belongs in that memory, how to expose it through capability registries and machine-readable tool contracts, how to use on-behalf-of identity instead of shared AI service accounts, and how to grow trust from read → recommend → act.
The goal is simple: before giving agents more tools, make sure they can trust what they read.
This talk introduces company memory as the missing layer for production coding agents: trustworthy, permission-aware engineering context that agents can read, cite, and act on safely. We’ll look at what belongs in that memory, how to expose it through capability registries and machine-readable tool contracts, how to use on-behalf-of identity instead of shared AI service accounts, and how to grow trust from read → recommend → act.
The goal is simple: before giving agents more tools, make sure they can trust what they read.