Moderne today announced Python language support across its Agent Tools platform, expanding the infrastructure organizations use to build code intelligence and safely coordinate large-scale software change across enterprise environments. With Python now participating in the same deterministic execution model used for Java and JavaScript/TypeScript, enterprises can modernize systems, remediate vulnerabilities, and run coordinated change initiatives across a broader portion of their application, data, and automation infrastructure.
This release expands the multi-language execution infrastructure that powers Moderne’s Agent Tools platform, extending automated transformation workflows into Python environments. The addition enables coding agents and engineering teams to understand code at a semantic level and safely execute coordinated, multi-repository changes across Python systems using the same governed automation already available for other supported languages.
Python is now supported within the OpenRewrite Lossless Semantic Tree (LST), a compiler-accurate, structural model that enables deterministic, automated transformations across repositories. This extends the platform’s ability to analyze, modernize, and transform heterogeneous codebases using consistent, recipe-driven automation and governance workflows.
This announcement comes as organizations confront a rapid increase in automation-assisted software development. According to Forrester, 75% of technology decision-makers expect technical debt to rise as automation and generated code increase system complexity, while GitClear’s 2025 research shows that newly added code has grown from 39% to 46% of all code changes as coding assistants become mainstream. Python is widely used across AI, data engineering, and automation systems, making its inclusion in the LST critical as enterprises adopt agent-driven engineering workflows across increasingly heterogeneous software environments.
Python support enables organizations to manage large Python environments using the same recipe-driven workflows already used to upgrade frameworks, remediate vulnerabilities, and align dependencies across thousands of repositories. Teams can now run coordinated transformation initiatives spanning multiple languages and repositories.
“Agents are quickly becoming active participants in how software is built and evolved, but they require accurate code intelligence and safe execution infrastructure,” said Jonathan Schneider, CEO and co-founder of Moderne. “Adding Python to the Lossless Semantic Tree expands the semantic foundation that enables organizations to guide agent-driven engineering and apply large-scale code changes across their entire technology stack with confidence.”
With Python represented structurally in the LST, organizations gain the ability to:
- Upgrade Python runtimes and modernize deprecated APIs across many repositories simultaneously
- Analyze symbol usage and architectural patterns across Python systems
- Align dependencies and remediate security vulnerabilities at scale
- Coordinate cross-language change initiatives spanning Java, JavaScript, and Python codebases
- Enable coding agents with structured Python context to accelerate analysis and large-scale transformation workflows through capabilities such as Moderne Prethink
- Execute deterministic transformations delivered as reviewable pull requests within existing CI/CD workflows
Python support is available immediately through the Moderne Platform, enabling organizations to begin analyzing and transforming Python repositories using existing CLI workflows and governance controls.
Learn more about Python support and transformation capabilities at:
https://www.moderne.ai/blog/semantic-code-analysis-for-python
