Will AI Assistant Make Developers Redundant?
Explore how JetBrains AI Assistant enhances coding workflows, combining IDE knowledge with LLM power to boost developer productivity.
VSCode IDE Integration for Yocto Project - New Developer Tooling
Explore VSCode IDE integration for Yocto Project, covering syntax improvements, function handling, embedded languages, automated testing, and SDK extensions.
Navigating the Future of Coding Assistants - Trends and Best Practices
Explore the evolving landscape of AI coding assistants, from implementation strategies to best practices, while learning to balance automation with human expertise in modern development.
Working with SQL and Databases in IntelliJ IDEA
Learn SQL query writing and database management in IntelliJ IDEA. Covers code completion, data editing, import/export, navigation, and advanced features for efficient database development.
StarCoder - The LLM to Make You a Coding Star
Explore StarCoder's advanced code generation capabilities, including continuous coding and gap-filling. Learn about its applications, versions, and impressive 8,000-token sequence length for enhanced coding assistance.
Professional Productivity II
Explore personal productivity, Dart Editor features, and techniques for managing information overload with insights from three tech experts in this conference session.
Kernel Hacking Like It's 2020
Explore modern tools and techniques for Linux kernel development, including advanced editors, code completions, linters, debuggers, and automated testing suites.
Building a Python Code Completer
Uncover the secrets behind Python code completion, from parsing to AST, and learn how to build a simple completer in just minutes.
Effective Scala Development in IntelliJ IDEA
Discover advanced Scala development techniques in IntelliJ IDEA, including coding assistance features, productivity tools, and a preview of future metaprogramming support using scala.meta API.
Enjoy Ruby Programming in IDE and TypeProf
Explore TypeProf's potential to enhance Ruby development in IDEs, offering modern features like error reporting and refactoring without type annotations. Learn about the prototype and future plans.
Machine Learning on Go Code
Explore machine learning applications for Go code, including embeddings, code completion, and bug prediction. Discover how ML can enhance developer productivity and code quality.
Effectively Building Language Tools
Explore techniques for building robust language tools that adapt to JavaScript's evolving ecosystem, including static error checks, code completion, and API documentation.
Unleashing Code Completion with LLMs - Learning from Building Code Suggestions
Explore code completion with LLMs, covering model selection, infrastructure, evaluation, and cost considerations. Gain insights into building effective AI-assisted coding tools.
Lessons from Building 30-Plus Generative AI-Powered Developer Tools
Discover insights and best practices for building GenAI-powered developer tools, including IDE chat, code completion, and process adaptation.
IntelliJ Elixir - Working with Broken Code and Complex Macros
Explore IntelliJ Elixir's capabilities for resolving and completing code in broken files, understanding macro-heavy code, and finding definitions in DSLs for Phoenix and Ecto.
First Hour with GitHub Copilot - Maximizing Productivity Gains
Explore GitHub Copilot's key features to boost productivity. Learn prompt best practices, code completion, chat functionality, and quick actions for efficient coding assistance.
Understanding Emacs Modes
Explore Emacs modes to enhance text editing efficiency and customize your workflow. Learn to leverage powerful features for improved productivity.
IntelliJ IDEA Tips and Tricks for Spring Developers
Discover productivity-enhancing features in IntelliJ IDEA for Spring development, including refactoring, navigation, code completion, and project health monitoring with Qodana.
IntelliJ IDEA Performance Improvements - Past, Present, and Future
Explore IntelliJ IDEA's performance enhancements, including improvements in completion, highlighting, startup, and indexing, to better handle growing projects and larger codebases.
Discover GitHub Copilot's Untapped Potential in Visual Studio
Master GitHub Copilot's integration with Visual Studio 2022, exploring AI-driven features like smart breakpoints and enhanced code completions to accelerate development and improve code quality.
Towards an Open and Flexible AI-Driven IDE: A Vision and Proof of Concept with Theia
Explore the vision for an open-source, AI-driven IDE built on Theia that offers customizable AI integration, enhanced privacy controls, and freedom from vendor lock-in for modern development workflows.