Developer Experience & Modernization

Breakout (40 mins)

11:30 - 12:10

Scaling AI Agents Across the Enterprise with AgentCore

Chalk-Talks (20 mins)

11:30 - 11:50

AI-Driven Lambda Runtime Upgrades at Scale, to reclaim ~25% of Engineering Capacity

Enterprises running hundreds or thousands of Lambda functions face a recurring drain — runtime deprecation cycles (Python 3.8, Node.js 14, Java 8) force fleet-wide upgrades that consume 20–30% of engineering capacity. This session shows how AWS Transform custom, an AI agent that learns org-specific transformations, automates the full upgrade — planning, execution, self-debugging, validation, and git commit — with a live demo upgrading a Python 3.8 Lambda app to 3.13 in a single session. Attendees leave with a replicable CLI workflow and batch-execution patterns to scale from one function to an enterprise-wide rollout via AWS Batch/Fargate and CI/CD.

11:55 - 12:15

Context Dilution: The Architectural Constraint That Makes or Breaks AIDLC

Back

Developer Experience & Modernization

Breakouts

11:30 - 12:10

Scaling AI Agents Across the Enterprise with AgentCore

Chalk-Talks

11:30 - 11:50

AI-Driven Lambda Runtime Upgrades at Scale, to reclaim ~25% of Engineering Capacity

11:55 - 12:15

Context Dilution: The Architectural Constraint That Makes or Breaks AIDLC