A recent survey indicates AI is integral to most developers' workflows, with 90% using it weekly or daily. While AI can write code rapidly, developers remain responsible for understanding, evaluating, and approving its output. This underscores the crucial role of the IDE, with PyCharm highlighted as a tool that enhances developer control. PyCharm allows users to select their preferred AI agents and models, offering native support for leading options and an extensive registry for more. Users can opt for a JetBrains AI subscription or leverage their own tools, including local models via Ollama or LM Studio. The IDE also empowers developers to train AI agents on specific project conventions and coding standards through reusable "Skills." PyCharm provides robust, version-specific support for Django, including its latest features, ensuring alignment even when AI training data is outdated. Furthermore, the IDE offers comprehensive tools for code review, such as visual diffs and an integrated Git history, alongside a local history feature for tracking changes independently of version control. PyCharm's Django Logical Structure view visualizes the application's architecture from the framework's perspective, aiding comprehension. Finally, its Endpoints tool window and data editor/viewer facilitate API verification and database interaction, allowing developers to confidently assess AI-generated code and its impact.