Developers find themselves in a world where old maps no longer apply. The rules of software development have fundamentally shifted, and continue shifting at unprecedented speeds.

Drawing from a year of exploration, this talk reveals where AI truly shines - from rapid prototyping to uncovering what we didn't know we didn't know - and hidden dangers that can erode the very trust our software depends on.

Come discover the patterns emerging from this new reality: when to explore freely, when to be careful, and what opens up when the old constraints disappear.

Augmented Coding is more than just asking an AI to help you write code.

You externalize your decision points, heuristics, and workflows into artifacts the agent can follow. The agent becomes your mentee.

As you do that, you change your focus from low-level details to high-level intent and methodology. Decisions that were unconscious become explicit.

In this talk, I’ll share my story of how I learned to teach AI a Software Crafter’s approach to development.

The agent follows a rigorous TDD process with 121 unique nodes and 131 directed edges that can run autonomously for hours, creating dozens of commits.

It covers advanced context engineering and techniques to increase autonomy while aiming to maintain quality.

And I will tell real stories of AI-enabled breakthroughs in real-world product development.

Thanks to AI, designers and PMs are now prototyping and deploying faster than ever, sometimes without writing a single line of code. Tools like Lovable, Bolt and others can generate entire applications directly from prompts, while design tools are blurring the lines between mockups and implementation. So where does that leave React engineers?

As AI tools become UI builders, one trend is clear: React is becoming their default output. It's quickly turning into the universal framework of AI, putting React developers at risk of seeing their core skills commoditized.

In a world where AI can generate impressive UIs and ship entire components from a single prompt, it's tempting to declare the death of frontend engineering.

But what if we're just looking at it wrong?

The pixel-pushing days may be over, but the complexity is just shifting layers. Welcome to the age of the back of the frontend. This talk explores how AI is fragmenting the frontend into fast, flashy outputs and deeply nuanced logic, and why the real value now lies beneath the surface.

We'll break down what's actually being automated (spoiler: it's not the hard stuff), the logic, flows, edge cases, performance, that's still on us. We'll examine where human acuity still matters, why knowing when not to use AI might be your new superpower, and how the integration of AI-generated React components into complex, multi-framework applications creates new engineering challenges.

This talk doesn't shy away from the uncomfortable question: what is your job when everyone can "build"?

If you're a frontend dev wondering whether you still have a job, you do. But it may not look the same as the one you trained for. The new frontier isn't just building components, but designing the systems that allow AI-generated components to function in the beautiful complexity of production applications.

AI’s potential in software development extends far beyond code generation or chatbot-style assistants in the IDE. This talk explores how five families of AI capabilities (Learning & Onboarding, Coding Assistants, Automation & Agents, Planning, and Data Exploration & Synthesis) can transform the entire CI/CD lifecycle.

Whether it’s assessing processes, building pipelines, planning large-scale VM migrations, or summarizing an ocean of information, we’ll talk about how to identify high-impact integration points often untapped by chatbot or IDE based AI integrations. Centering AI integration around developers throughout the entire lifecycle of planning, coding, deployment, and monitoring unlocks greater ROI than simply generating more lines of code.