Developer Productivity
Prompt to Prod: Engineering an Autonomous SDLC at Scale
Monday Jun 1 / 03:40PM EDT
Engineering organizations are hitting a Productivity Paradox. AI tools are generating more code than ever, yet the time it takes to ship that code safely to production in large-scale environments remains stagnant.
Andrew Swerdlow
Sr. Director of Software @Roblox, Author of "Tech Leadership: The Blueprint for Evolving from Individual Contributor to Tech Leader", Previously @Google and @Instagram
Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
Monday Jun 1 / 11:30AM EDT
AI coding agents are powerful out of the box, but they don't know your company. They can't navigate your services, understand your frameworks, query your data systems, or follow your organizational processes.
Ajay Prakash
Senior Staff Software Engineer @LinkedIn
From Hype to Habit: Conquering AI Adoption at Zoox
Tuesday Jun 2 / 11:30AM EDT
Most organizations have purchased AI developer tools. Most are disappointed with adoption. The problem usually isn't the tool, it's that we treat AI adoption like a software rollout when it's actually a behavior change problem.
Jatin Aneja
Leading Developer Experience @Zoox, Previously Director of Site Reliability Engineering @AppLovin