The XtremePython‘s Xperts Panel, held at the end of the conference, was a thought-provoking experience. The discussion was on how AI is reshaping software development, especially when using the Python programming language. The panel explored tools, trends, and the evolving role of developers in the age of intelligent coding. The interaction was significant, and so were the insights that evolved during and after the discussion.
The XtremePython 2025 Online Conference
The XtremePython online conference is held annually. On November 18, it took place for the 5th time. The conference concluded with a professional panel that focused on the influence of Gen AI on software development, specifically when using the Python programming language. Similar panels also take place as part of the XtremeJS and the XtremeJ conferences.
Today’s Uses of Gen AI in Python Coding
Across every stage of the Python development workflow, generative AI now empowers developers — from design and coding to testing, deployment, and maintenance — driving greater efficiency, accuracy, and innovation.
Code Completion & Assistance
Tools like GitHub Copilot, Codeium, and JetBrains AI predict your next lines of code.Project Generation
AI can scaffold entire FastAPI or Flask backends, including tests and documentation.Code Review & Refactoring
Platforms like SonarLint AI and Codacy detect inefficiencies and security issues.Test Generation
Frameworks like PyTest Assist or AI extensions automatically generate unit tests from code or specs.Documentation & Explanation
AI helps write docstrings, READMEs, and even explains legacy scientific code.Agentic Coding
AI agents autonomously plan and execute refactors or implement new features.Agentic IDEs (e.g., Kiro IDE)
IDEs where AI proactively coordinates coding, testing, and documentation tasks.
Python’s flexibility and dominance in AI research make it the perfect ground for these innovations. Its vast ecosystem of libraries, active community, and seamless integration with cutting-edge AI frameworks allow developers to experiment, prototype, and deploy intelligent solutions faster than ever before.
The Questions that were Raised During the Panel
The panel dived deep into how AI is transforming Python’s role in modern software development. From intelligent test generation to autonomous code reviews, the discussions revealed practical insights, ethical dilemmas, and forward-looking trends that are shaping Python’s AI-driven future. The following questions were asked during the panel.
- How will Python’s ecosystem evolve as AI-driven development becomes standard?
- Can agentic IDEs reduce technical debt in large Python projects?
- What skills will developers need in an era dominated by spec-driven and AI-augmented development?
Each participant got the possibility to answer each of these three questions. The interaction was excellent.
Similar panels also take place as part of the XtremeJS 2025 and the XtremeJ 2025 online conferences. You can find more information about these two online conferences at xtremej.dev and at xtremejs.dev.
