Doug Clauson

Most developers use AI coding assistants as interactive tools and see modest gains. A small cohort works differently: they treat agents as autonomous workers they direct and validate, and the results are a step function in productivity improvements, not an increment.

Coding has gotten cheaper, but shipping hasn't. See how one engineer built a build, review, and ship loop with Kiro Crew, and learn the traps that cost hours along the way (reviews that never end, agent loops that balloon a ten-line fix into a whole subsystem, saying yes to everything because code felt free).

Developers, join an epic journey as we follow a humble backlog item through the winding path of the software development lifecycle from user story to deployment. Most developers spend less than an hour per day writing code.

While previous AI assistants focus on code generation with close human guidance, Amazon Q Developer has a unique capability called Amazon Q Developer Agent that can use reasoning and planning capabilities to perform multi-step tasks beyond code generation with minimal human intervention.

In this session, explore the newest features in Amazon CodeCatalyst. Learn firsthand how these practical additions to CodeCatalyst can simplify application delivery, improve team collaboration, and speed up the software development lifecycle from concept to deployment.

Amazon CodeCatalyst brings together everything developers need to plan, code, build, test, and deploy applications on AWS into a streamlined, integrated experience. In this session, discover its key capabilities, including project blueprints, issue tracking, automated workflows and CI/CD pipelines, cloud development environments, automated infrastructure provisioning, notifications, and...