Agentic AI Foundation

This talk details the journey of transforming a large engineering organization into an autonomous one by leveraging AI agents. The core thesis is that true impact from AI enablement comes not just from individual engineers using tools, but from integrating agents deeply into the entire development workflow, enabling them to produce shippable results with minimal human oversight. This transformation involves moving engineers through maturity stages, from basic code generation to complex task delegation and multi-agent collaboration.

This talk argues that building agentic AI systems requires the same core engineering discipline as traditional software development, just with different primitives. Instead of focusing solely on using agents to write code, the emphasis shifts to architecting complex agentic systems. This approach allows engineers to leverage their existing skills in systems thinking, workflow design, and modularity, recapturing the thrill of building by operating at a higher level of abstraction.