
Discover how the pieces app serves as an on-device AI coding assistant that boosts developer productivity with contextual answers inside your IDE while keeping your code on device offline.
Install the Pieces app and Pieces OS to enable cross-product communication, then add IDE plugins for IntelliJ and VS Code to save, search, share, and reuse code snippets for productivity.
Learn to select models in the pieces developer productivity tool, via copilot chats settings, choosing between cloud models and on-device models to keep data on your machine.
Leverage pieces copilot in VS Code and IntelliJ to generate and insert code snippets across languages such as Python and Java, with context, runtime settings, and optional error handling.
Leverage Copilot in IntelliJ to rapidly scaffold a Spring Boot project, generate a greetings endpoint and service layer, and iterate with boilerplate code to accelerate coding speed.
Learn how to use generative AI tools like Copilot and Pieces to understand and document existing code, explain line by line, and generate comments across IntelliJ and VS Code.
Learn to detect and resolve errors using generative AI with live context, obtaining context-based suggestions from Copilot to debug and improve performance.
Learn how generative ai translates code between languages, porting python to java and c++, with interactive follow-ups to refine and extend solutions across language implementations.
Learn to save, organize, and reuse code snippets with the pieces app and Chrome extension across IDEs like IntelliJ and Visual Studio Code, using Copilot, tags, and search.
Learn to organize code snippets by language, reclassify misidentified code, and add annotations, tags, and shareable links, while using Copilot to transform and clarify snippets.
Share code snippets with your team or publicly by generating a right-click shareable link that copies to your clipboard, then view tags and related links.
Explore how to create contextual conversations with generative AI using Copilot chats, adding files, folders, snippets, and websites to tailor answers about code, flows, and project structure with on-device options.
Follow a structured roadmap to become a full-stack Java developer, from basics to Spring Boot, microservices, AI deploy DevOps, multi-cloud, and security.
Unlock exclusive discounts and coupon codes on Embark Comm with the lowest prices on Udemy courses, including Udemy for business offers across AI, programming, and product management.
Unlock the full potential of generative AI to boost your productivity as a developer. This course will guide you through the latest advancements in AI-powered coding tools and techniques, helping you accelerate your coding speed, improve code quality, and streamline your workflow.
We will start with the basics in the Getting Started with Pieces section, where you will learn how to set up Pieces and select the right AI models for your projects. Then, in the Leveling Up as a Developer section, you'll discover how real-time code generation and inline documentation can accelerate your coding speed and help you understand complex code. You'll also learn how AI can assist in error detection and resolution, improving your overall code quality.
In the Using Generative AI for Interview Preparation and Becoming a Better Developer section, we'll cover how AI can be used to prepare for technical interviews and continuously improve your coding skills. The Managing Code Snippets section will teach you how to organize and share code snippets effectively, enhancing collaboration with your team.
Finally, the Advanced Usage with Contextual Conversations section will show you how to leverage advanced features of Pieces for complex projects and AI-driven code discussions. By the end of this course, you'll be equipped with practical skills to leverage generative AI for enhanced productivity and collaboration in your development projects.