AI Engineer WF 2026
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Speakers/Prerna Kakkar
Prerna Kakkar

Prerna Kakkar

Senior Software Engineer

Google

Prerna Kakkar is TL for Agentic Evaluation for Google Cloud Databases. She is an active contributer to Evalbench and MCP Toolbox for Databases. She has contributed various research papers, defensive publications and holds provisional patent in field of AI/ML.

Sessions (1)

Build-Time vs. Run-Time: Why Your Dev Tools Will Fail in Production
10:45 AM·Track 8 · Room 2020

A dangerous pattern is evolving in the ecosystem: developers are deploying "Build-Time" tools into "Run-Time" environments. In this session, we will introduce a critical distinction for the MCP ecosystem: the difference between Build-Time Agents (Developer Assistants like Gemini Code Assist) and Run-Time Agents (End-user applications like a Customer Support bot). Drawing from our experience building the MCP Toolbox, we will demonstrate why the "Atomic" tools that make Build-Time agents powerful become catastrophic liabilities for Run-Time agents. We will provide a framework for transitioning your architecture across three key axes: Design: Moving from flexible, atomic primitives to "Composite Workflows" that encapsulate business logic. Security: Shifting from "Developer Identity" (trusted) to "Workload Identity" (zero-trust), where the agent is treated as an untrusted user. Reliability: Why production agents need "Agent-Readable" errors (natural language guidance) rather than the stack traces that developers rely on. Attendees will leave with a clear rubric for evaluating whether their tools are truly "Production Ready" or just "Prototype Ready." Speakers: Kurtis Van Gent — Google; Prerna Kakkar — Google.

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