[Agentic AI](/pycharm/category/agentic-ai/)
[AI](/pycharm/category/ai/)
[Python](/pycharm/category/python/)
[Web Development](/pycharm/category/web-development/)
The 2026 Django Developers Survey (results coming soon!) found that AI is part of the weekly or daily workflow for 90% of respondents. AI can write code quickly, but Django developers still need to understand the application, evaluate what the agent produces, and be accountable for what ships.
That makes your IDE more important, not less. PyCharm gives you the freedom to choose the agents and models you want, as well as extensive Python and Django support for understanding and reviewing the code they produce.
1. Bring your own agent
Leading agents such as Codex, Claude Agent, Junie, and Gemini run natively in PyCharm, while the ACP registry gives you access to dozens more, installable in a click from the same dropdown menu. You can use a JetBrains AI subscription or bring your own tools – the choice is yours.
Want to use your own model? Bring Your Own Key technology lets you connect existing provider credentials, while Ollama and LM Studio let you work with local models.
You choose the AI tools that fit your workflow. PyCharm doesn’t lock you into one provider.
2. Teach your agent your conventions
Skills give your agent reusable instructions and context. In PyCharm 2026.2, native skill support for Claude Agent and Codex lets you add a skill directly from the AI chat, either for a single project or across your entire codebase.
The curated Skill Repository also gives you a way to add official skills for technologies, including React, Postgres, and Playwright.
Skills let you encode useful context once and reuse it, so you spend less time repeating instructions to your agents.
3. Django 6+ support
PyCharm keeps up with Django’s release cycle, including Django 6.0 template partials. The IDE understands the new partial template tags and completes them as you type.
This matters especially when frameworks evolve. An agent’s training data may not reflect the exact Django version you’re running. PyCharm’s Django support is tied to the version in your project.
4. Review with confidence
AI generates code quickly, which makes reviewing and undoing changes more important than ever.
PyCharm gives you visual diffs, merge tools, integrated conflict resolution, and Git history in the IDE, so you can inspect changes before committing or merging.
Local History works independently of version control, recording changes as you work. You can compare a file with an earlier state and restore a version from before the agent touched it – even if you never committed the change.
5. See your Django architecture
Django applications can get big**. **Django Logical Structure presents your project from Django’s point of view rather than as a flat collection of Python and HTML files. You can follow a model to its serializer, its views, and the endpoints they serve.
Whether the code you’re reading was written by you six months ago, another developer, or an agent, PyCharm helps you understand how the pieces fit together.
6. Verify your API and your data
The Endpoints tool window gives you a structured view of your Django endpoints, including documentation, examples, generated HTTP requests, and OpenAPI information. You can send those requests directly with the built-in HTTP Client.
The same idea applies to your database. The data editor and viewer let you browse and query application data without leaving the IDE. After an agent generates a migration, you can inspect the resulting data and verify that the change did what you expected.
The IDE outlasts the agent
AI tooling is changing fast, but your developer workflow can stay consistent. PyCharm combines deep Python and Django support with access to the agents and models you choose.