Embracing Performance and Modernity: Unveiling Angular's Evolution in v14 and Beyond

The Angular framework has undergone a transformative journey, revolutionizing performance, and developer experience, making it one of the most powerful tools for web development. With the recent introduction of Standalone Components in Angular v14 and Signals in Angular v16, the framework has taken significant strides in enhancing its capabilities.

Moreover, we'll delve into the thrilling realm of proposed enhancements, such as the Built-in Control Flow and Deferred Loading, which are currently under community discussion. Join us as we envision the code of the future, where Angular evolves into a modern, dynamic framework. We'll provide practical insights and demonstrations, illustrating how your projects will benefit from adopting these innovative features. Be prepared to embrace the next generation of Angular development and embark on a journey towards more efficient, performant, and delightful web applications.

AI for Java Developers: How to Boost Your Productivity and Code Quality

AI tools are a new generation of software tools that use artificial intelligence to help developers write code faster, more efficiently, and with fewer errors. These tools can automate repetitive tasks, generate code snippets, and even help developers debug their code.

One of the most popular AI tools for Java developers is GitHub Copilot. Copilot is an AI assistant that can generate code suggestions in real-time as you type. It can also complete entire functions, classes, and even tests. GitHub Copilot can help developers to increase their productivity and reduce errors.

IntelliJ also has an AI assistant integrated into the IntelliJ IDEA IDE. The IntelliJ AI assistant provides a variety of AI-powered features, such as code completion, documentation generation, and commit message generation. The IntelliJ AI assistant can help developers to improve their code quality and readability.

Overall, AI tools have the potential to make Java developers more productive and efficient. By automating repetitive tasks and providing code suggestions, AI tools can help developers to write better code, faster.

In this session, we will see what kind of Java code we can generate by using AI tools, how we can get help for exceptions, and also, the pitfalls and limitations that these tools have.

This is a hands on session - live coding - using different AI tools, and showing the good and the bad of each tool so developers can review and see for themselves which tool is best for their use case.