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

Garth Gilmour
Ai

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.