This session presents the key findings from LeadDev’s AI Impact Report 2026 – and the numbers tell a more complicated story than the productivity anecdotes suggest.
This talk tells the story of how we built the Data Canary: an automated system that validates data transformations using real production traffic, detects regressions in 2.5–4 minutes, and blocks bad data from publishing, all within a 10-minute window.
Small teams are increasingly expected to build for enterprise-scale customers, and AI is changing how they get there. This talk explores how startups can ship enterprise-ready features with lean teams, what’s changed along the way, and how they’re adapting for what comes next.
This talk takes Steve Yegge's "continuous thunderdome" as a starting point and shows how to make CI/CD work at planet scale, and how to solve the perennial problem that nobody wants to fix the build.
This talk will dig into the technical and social details of Imprint's migration to safely transition from manual deploys to continuous deployment with substantial agent-written PRs in under six months.
AI agents may be making code faster to write, but they’re also shifting the bottleneck further down the delivery process. This talk explores why proven practices like progressive rollout, observability, feature flags, and automated rollback are becoming essential for teams adopting AI at scale.
In this talk, Justin Reock, Deputy CTO at DX, will share a data-driven “state of the union” on AI in engineering, grounded in both quantitative data from thousands of developers and on-the-ground observations.
How to keep AI in the workflow without losing the apprenticeship: three exercises that rebuild debugging, explanation, and critical thinking when polished output hides shallow understanding.