This talk shows how combining AI tools with the Dagger framework enables scalable, self-correcting workflows that automate testing and reviews, boosting quality and efficiency.

This talk explores how AI tools are reshaping software engineering identity—shifting roles from creator to curator, and redefining skills, values, and the craft itself.

This talk explores making AI agents production-ready, sharing lessons from Intercom’s Fin on building reliable, end-to-end, agentic workflows.

This talk shows how AI SRE tools cut MTTR and fuse observability with automation to transform enterprise ops beyond coding.

This talk shares real-world lessons from deploying AI coding assistants across global dev teams—covering culture, trust, KPIs, and practical tips for scaled adoption.

This session shows how to use LLMs like GPT to understand, document, and refactor legacy code, with practical tools and workflows for immediate adoption.

This session shares lessons from working with Steve Yegge on “vibe coding”—using AI agents to build faster, better, and more ambitiously, despite real risks.

This hands-on talk builds a GitHub Copilot Extension from scratch, covering SDK usage, best practices, and debugging techniques for real-world development.

This session shares a real-world journey using AI to build a physics engine—highlighting prompt strategy, technical depth, and the art of “vibe refactoring.”

This session explores the future of AI-native DevOps, current DevOps agent limitations, and how to evaluate and improve them for reliable, scalable automation.

This session demos MCP as the next-gen AI tooling layer—showing unified, protocol-driven development across tools like VS Code and Claude Desktop.

This session shows how AI automates load test analysis, detecting issues like memory leaks and scaling systems to meet peak demand efficiently.

This session shows how code-centric evals guide AI coding tool design, aligning teams and accelerating development through measurable, feedback-driven iterations.

This session explores how AI agents optimize APIs and dynamically update UIs in real-time, covering foundations, deployment challenges, and real-world case studies.

This talk explores six possible endgames for AI-era programming, clarifying how software engineering roles and practices may evolve—or disappear entirely.

This demo introduces CreateMVPs.app, an open-source tool that turns ideas into structured plans, enabling accurate AI-assisted app development.

This talk demystifies AI and shows how Spring AI integrates modern AI into Spring Boot apps for seamless development.

This fireside chat explores AI’s coding boom, its security risks, and how to balance innovation with responsible oversight.

This talk explores fine-tuning for code and agentic tasks, showcasing improved query generation on complex databases with 600+ tables.

Explore how JetBrains AI Assistant and Junie in IntelliJ IDEA support and impact real developer workflows and productivity.

Learn to model codebases using ASTs, graph theory, and memory systems for stable agentic development workflows.

Agentic flows streamline AI coding with orchestration, model-aware tools, and emerging protocols for enhanced productivity.

This session takes you on a tour about shifts in AI Development, distinguishing between foundational tools and those pushing the boundaries into uncharted territory.

Explore how AI-powered "vibe coding" ignited software creativity, and how professional AI Native development elevates it for critical, scalable applications.

AI agents are becoming software users too. This talk explores Agent Experience (AX) and how we must redesign tools, APIs, and platforms for AI-first development.