JetBrains IDE Developer Productivity & Code Generation Support • Garth Gilmour • GOTO 2024

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Discover how JetBrains IDE integrates Large Language Models to boost developer productivity, code generation, and quality, with demonstrations of code completion, refactoring, and testing.

Key takeaways
  • The JetBrains IDE can provide better productivity and code generation support using Large Language Models (LLMs).
  • The presentation consisted of 3 programming puzzles, with the first one being a grep function.
  • LLMs are not perfect and require refining, especially with mathematical concepts.
  • The AI Assistant can be a great tool for developers, especially junior ones, to improve their coding skills.
  • The demonstration showed how the AI Assistant can generate code, refactor functions, and create test scenarios.
  • The presentation discussed the concept of bounded context and ubiquitous language.
  • The AI Assistant can be used for code completion, refactoring, and testing, and is deeply integrated into the IDE.
  • The presenter discussed the importance of prompt engineering and fine-tuning models to improve their accuracy.
  • The AI Assistant is not meant to replace human intuition, but rather augment generation and reduce manual writing.
  • The presentation concluded with a discussion on the importance of collaboration and sharing knowledge.
  • The AI Assistant has the potential to improve developer productivity and code quality.