The easiest thing to do is often what causes hours of debugging down the line. With LLMs becoming increasingly normalized in the industry, an overreliance on them can allow bugs to slip through the cracks.

In this talk, I'll demonstrate a practical debugging workflow: Debug first. Prompt second. I'll show how browser DevTools reveal what's actually happening faster than any AI can guess.

You'll learn:

Essential DevTools features that improve your bug-fixing prowess When to reach for your browser and when AI can actually help The almost forgotten art of breakpoints and strategic console messages

AI in your codebase represents growth, but understanding your runtime state represents mastery. This talk is about balancing both and knowing which tool to reach for first.

Let's be honest, nowadays most of us see an error, copy it into ChatGPT, and hope for the best. I've done it. You've done it. We've all wasted 30 minutes going back and forth with AI when our browser could've shown us the answer in 2 minutes.

This talk is about remembering that our browsers have incredible debugging tools we've forgotten how to use. Through live demos of real bugs, I'll show you how breakpoints, call stacks, and the network tab can solve problems maybe faster than any AI assistant.

You'll learn:

How to ditch console.log hell and actually watch your code run Breakpoint tricks that pause your app so you can inspect what's really happening How to read call stacks without your eyes glazing over Network tab techniques that expose exactly why your API is misbehaving When debugging tools beat AI (and when AI is actually helpful)
 I'm not saying don't use AI—I use it all the time. But there's something powerful about understanding your own code well enough to fix it yourself. Plus, you'll be way faster, and you'll actually learn something instead of just copy-pasting solutions you don't understand.

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.

Bitwise operators are often overlooked in the JavaScript ecosystem—viewed as obscure or only relevant in low-level programming. However, they are among the most powerful and efficient tools available right in the browser. Because they operate directly at the number level, bitwise operations are incredibly fast in JavaScript engines, making them ideal for a wide range of practical uses:

Collision masks in browser-based game engines

Interfacing with WebAssembly

Lightweight compression techniques

Real-time audio/video streaming

Clever hacks for text encoding and emoji maths