#artificial intelligence

In this lightning demo I will showcase how Codium, a cutting-edge generative AI tool, is revolutionizing code integrity. We will demonstrate Codium's ability to generate useful Mocha tests, taken from a public repository and highlight the seamless integration. You can see Codium as it transforms complex test scenarios into actionable insights, propelling code coverage forward. Join us for an insightful peek into the future of automated testing where speed meets quality!

This talk will dive into how to build an AI for a turn based strategy game from scratch. When I started building Athena Crisis, I had no idea how to build an AI. All the available resources were too complex or confusing, so I just started building it based on how I would play the game. If you would like to learn how to build an AI, check out this talk!

In this talk, we'll build our own Jarvis using Web APIs and langchain. There will be live coding.

In this talk, we'll take a look at the growing intersection of AI and web development. There's a lot of buzz around the potential uses of AI in writing, understanding, and debugging code, and integrating it into our applications is becoming easier and more affordable. But there are also questions about the future of AI in app development, and whether it will make us more productive or take our jobs.
There's a lot of excitement, skepticism, and concern about the rise of AI in web development. We'll explore the real potential for AI in creating new web development frameworks, and separate fact from fiction.
So if you're interested in the future of web development and the role of AI in it, this talk is for you. Oh, and this talk abstract was written by AI after I gave it several of my unstructured thoughts.

In this talk, attendees will learn how to integrate OpenAI's GPT-4 language model into their React applications, exploring practical use cases and implementation strategies to enhance user experience and create intelligent, interactive applications.

"Revolutionizing JS Testing with AI: Unmasking the Future of Quality Assurance" is a forward-thinking talk that delves into the transformative power of AI in JavaScript testing. The presentation offers an enlightening exploration of AI Testing principles, practical applications, and future potential. By featuring AI-driven tools like Testim, ReTest, Datadog, and Applitools, this talk brings theory to life, demonstrating how AI can automate test case generation, optimize anomaly detection, and streamline visual regression testing. Attendees will also gain insights into the anticipated advancements in AI Testing for JavaScript. The talk concludes with a lively Q&A, inviting everyone to delve deeper into the world of AI and JavaScript testing. Be prepared to reimagine your QA process with AI!

In this talk, we will discuss leveraging Machine Learning practices in Software Testing with several practical examples and a case study that I used in my project to do Bug Triage. Let's embrace the future together!

When treated as a platform, LLMs such as ChatGPT become powerful building blocks for custom, conversational agents. In this talk, we use the OpenAI API and Vercel AI SDK to build a digital sommelier that recommends the perfect wine.

Utilizing generative AI models can result in a lot of varied and even unexpected outputs, making them less deterministic and harder to test. When trying to integrate these models into your app, it can be challenging to ensure that you maintain a high level of quality from these AI outputs, and even ensure that their results don’t crash the flow of your app. Come relive my journey of discovery into how I was able to drastically improve results from OpenAi’s ChatGPT API, for use within my company’s product. In this talk I will share many tips that will help enable you to more effectively utilize the power of AI models like ChatGPT within your own apps, including testing strategies and how to avoid many of the issues I ran into.

Start using AI at full power. Generate scenarios, write tests, and create test data faster with ChatGPT. The demonstration will be provided via Cypress tool.

You've probably played with bots like ChatGPT and used them to brainstorm. Maybe you've noticed that getting responses in the right structure or format has been a challenge. As people, we're okay with that - but programs are much more finicky. We've been experimenting with using TypeScript itself as a way of guiding and validating responses from language models.

Have you ever imagined writing code without even touching the keyboard? In this talk, I'll show you how I wrote a React app with my voice. But more importantly, I'll demonstrate how this technology can developers with disabilities to write code with ease and efficiency. Together, we'll explore the ways in which voice-activated AI assistants can revolutionize the way we think about coding. Join me as we explore the exciting possibilities of voice-activated AI programming in the React community and the ways in which it can make React coding more accessible and fun for everyone.

This talk will cover why and how organizations are distributing data storage and machine learning to the edge. By pushing machine learning to the edge, we can geographically distribute learning so that the models will actually learn different things relevant to specific locations. By delivering both edge database and compute in a single platform, more people can transition to a distributed architecture. The performance gains from this new architecture cements the value that mobile edge computing brings.

GitHub Copilot is an AI pair programmer that can help you write code faster and spend less time writing repetitive code.This session will cover some interesting use cases for Copilot that could shine a light on its possibilities. This ranges from prompting Copilot to suggest a function based on a comment, learning how to use a new framework, tackling a security or accessibility bug, better documenting your code, translating  code from one language to another, etc.Agenda:
Introduction to CoPilot
- What is Copilot
- How can you use it
- How it can help you write code faster
- Copilot Labs experimental features I will pick examples from the React ecosystem and show how we can fix Security Vulnerabilities and Accessibility issues in some components.

ChatGPT took the tech world by storm. Everyone talks about it, from your CTO to your hairdresser (at least my barber does). And there are many reasons why we should all be excited about it and many other AI/ML innovations.
But how do you bring them into your tech stack, your website/backend, to work with your data and provide AI-driven search and data augmentation?
There is a new generation of AI Native databases, which use deep learning models to find answers to natural language queries. We are talking about the ability to search through text, images, videos, DNA, or any unstructured data, all with a single query.
The rule of thumb: if there is an ML model, we can search through it.
Join me to learn about the foundation blocks (LLMs and vector embeddings, Vector Databases), how they all play together and most importantly - how you can build something yourself with open-source tech.
And, of course!!! There will be a live-coding demo, where I will take you through the experience of building an AI-based search – with Weaviate, an open-source Vector Database – and adding it to an app. Now the question... should this be done in Angular, React, Vue or just pure JS ;)
#MayTheDemoGodsBeWithUs

What is the future of user interactions? Will we continue using web and mobile or will we switch into VR and AR completely? What is our UX today on web and mobile and how it will change when the digital world will bridge into new dimensions. Would we still use keyboard and mouse or gestures or will we use something else? In this talk we will get a glimpse into the future where we will control apps with our thoughts. Literally. It’s not a thought experiment, but a journey into our brainwaves with consumer EEG headset. We will explore how we can use them and AI to create futuristic experiences, which will lay a foundation stone to our future interactions with the digital world.

Adoption of AI has been slowed the challenges involved in obtaining performant models, which require significant expertise and effort, and the limited number of practitioners with machine learning expertise. Automated machine learning (AutoML) eliminates the routine steps in the machine learning workflow, thus empowering domain experts without machine learning background to build good initial models, and allowing experienced practitioners to focus additional manual model optimization. This talk describes the extent of automation available for the various steps and demonstrates AutoML with a classifier for human activities based on accelerometer sensor data.

Often it's thought that to be able to succeed with Machine Learning and Deep Learning, as an onramp to Artificial Intelligence, that you need a deep background in mathematics and calculus, as well as some form of PhD. But you don't. With modern APIs like TensorFlow, much of the complexity is abstracted away in pre-built libraries, so you can focus on learning. In this session, Laurence Moroney, from Google, will explain how he has used this to create courses with hundreds of thousands of students, and from there, how a certificate program was created.

How to build a UI that LEARNS? Being able to learn and predict the behavior of users has many powerful applications, one of them is the chance to boost the UI performance prefetching code & resources before the user reaches them. In this talk, we describe a high-level implementation of an intelligent prefetcher, using ReactJS and TensorFlow.js. We use neural networks to learn the user's behaviour, and leverages React's lazy-loading API to prefetch components according to predictions. There is a chance for Frontend developers to explore the powerful combination of UI and AI.