
Meet Raja, a freelance senior software engineer and software architect, a Google developer expert in Angular and Women Techmakers ambassador, sharing web performance optimization insights and foundations for modern architectures.
Explore the three pillars of web performance: load performance, runtime performance, and random performance, and learn how they together deliver faster, more responsive web experiences.
Master rendering by turning HTML, CSS, and JavaScript into visible interactive experiences through parsing, constructing the DOM, calculating layout, and painting pixels.
Identify poor rendering by examining layout shifts and sluggish interactivity on the order confirmation page, then measure layout shifts using Chrome DevTools performance panel, memory select box, and garbage collection.
Implement spec-driven development to ensure clean code over spaghetti code by providing precise constraints for AI, such as 80-line functions and at most three parameters, while investing in observability.
Identify and fix memory leaks in web apps by diagnosing root causes, tracking leaks, and recognizing patterns in source code, while optimizing end-user device resources.
recognize memory leaks in web apps by watching for production slowdowns after long sessions, as the UI becomes sluggish and memory usage rises with increasing node size and listeners.
Use the performance monitor to visualize cpu usage, gas heap size, dom nodes, and event listeners. Activate metrics you want to analyze and observe changes as you interact with app.
Case study reveals a web app using a TensorFlow hand-gesture model, showing a memory leak from repeated loading that slows performance and inflates memory.
The difference between myMethod() {} and myMethod = () => {} might seem trivial, but it taps into fundamental JavaScript behavior with significant consequences for application stability and maintainability.
What could begin as a simple code cleanup exercise might become a potent reminder: never underestimate the power — and potential pitfalls — of this.
Mastering web performance in the era of the dark factory, this lecture exposes the five levels of AI coding and a three-layer defense to ship fast with safety.
Assess how AI coding tools impact productivity, using METR's study to reveal that 20% feel faster while tasks take 19% longer due to reviewing and steering output.
Learn to distinguish behavioral tests from implementation tests, focusing on outcomes over internals, and apply this in real-world scenarios like multi-pod deployments, race conditions, and user-facing behavior.
Uncover dark code, where functional yet incomprehensible code accumulates and debugging becomes archaeology. Apply behavioral testing to elevate safeguards and move up the levels without burning down the house.
Explore the three-layer defense in the software lifecycle: spec-first development, self-describing code with documentation and observability, and the comprehension gate before shipping.
The new engineering paradigm emphasizes organizational design and disciplined ai-assisted development, starting from a spec, generating in-code docs, passing a comprehension gate, and requiring senior sign-off.
Automate bug fixes with multiplayer full stack session recording and the MCP server, enabling AI-powered, context-rich diagnoses linked to code, reducing debugging time and improving collaboration.
Hunting web performance issues is a complex problem with fiendish edge cases, and debugging them can be a daunting task. To avoid such a problem in your app, you need awareness about it and constant vigilance.
JavaScript memory leaks are sneaky and could be challenging to localize because they can go unnoticed for some time. And even if your performance gets progressively worse, you will not see a thrown error on the browser while running the leaking app. Because it’s not an invalid code that causes such issues, but a logical flaw in it.
In this course, we’ll see how to effectively track web performance down and learn what causes them. You’ll get insights on how to respect more the end-user device’s resources. You’ll also avoid situations where you pull your hair out trying to understand what’s going on with your performance.
I designed this course to suit newcomers as well as advanced developers, and I will walk you through the topic step by step until you get your hands dirty.
At the end of the course, you’ll be able to identify, diagnose, and fix web performance issues in web apps even if you’re not the one who implemented them. You’ll be also able to catch patterns in your source code that cause them.