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AI Engineering
OpenAI Blog·Nov 25·5 min read
Inside JetBrains—the company reshaping how the world writes code
TL;DR
Developers lacked AI-powered assistance integrated directly into their coding environments, slowing design and reasoning workflows. JetBrains integrated GPT-5 (OpenAI's latest language model) across its suite of IDEs (Integrated Development Environments)—tools like IntelliJ IDEA and PyCharm that developers use daily.
✦ Why It Matters
Engineers can now leverage GPT-5 assistance without context-switching, directly accelerating code design and problem-solving workflows.
Key Takeaways
- Evaluate GPT-5 integration in your IDE to reduce tool-switching overhead during development.
- Leverage AI-assisted code reasoning for faster design decisions and architectural planning.
- Test GPT-5 suggestions in your workflow to measure productivity gains on your team.
- Consider how native AI integration affects code quality and security review processes.
Full Summary
JetBrains, a company that builds IDEs (Integrated Development Environments—software tools where developers write and test code), identified a gap: developers were switching between coding tools and separate AI assistants, fragmenting their workflow. The company integrated GPT-5, OpenAI's latest large language model capable of understanding and generating code, directly into its popular IDEs including IntelliJ IDEA, PyCharm, and WebStorm.
This integration allows developers to access AI-powered code suggestions, design reasoning, and problem-solving without leaving their editor. The approach embeds GPT-5 as a native feature rather than a plugin, enabling seamless context awareness of the code being written.
By bringing AI assistance into the primary development environment, JetBrains reduced friction in the development process. The integration now serves millions of developers globally, accelerating code design, reasoning about complex problems, and overall build velocity.