Scaling Agents: From AI Experimentation to an Engineering Operating Model

Ad hoc usage of developer AI tools hits an operational wall quickly—fragmented local setups, unstandardized context, and code review bottlenecks create friction instead of velocity. This session shares practical lessons and architectural shifts from an enterprise transition to agentic workflows. Discover how we moved beyond scattered prompt hacks by standardizing team profiles with Model Context Protocol (MCP), redesigning the SDLC for agentic integration, and retraining engineers to prioritize architectural judgment over prompt engineering.
Format: TECHNICAL TALK, BUSINESS TALK
Location: ROOM B
Speakers: Marat Kenzhebulatov
Level: Intermediate to Advanced
Audience: Registered participants