PyAutoLens 2026.7.9.1 — AI Assistant, JAX GPU Support & Agentic AI Development

[Jammy2211]

I'm happy to announce that with the release of PyAutoLens 2026.7.9.1 we have achieved three major milestones for the software:

🤖 AI Assistant

PyAutoLens now supports two complementary AI workflows:

• Conversational AI (e.g. ChatGPT and Claude) to help you learn the API, understand concepts, debug errors, and answer lens modelling questions.
• Agentic AI (e.g. Claude Code and Codex) to inspect your data, write and execute scripts, and carry out end-to-end lens modelling workflows directly on your machine.

See the autolens_assistant for setup instructions and examples.

⚡ JAX GPU Support

Full GPU-accelerated JAX support is now available for galaxy-, group-, and cluster-scale strong lens modelling across imaging, interferometer, point-source, and datacube datasets, as well as weak gravitational lensing.

🛠️ Agentic AI Development

PyAutoLens is now developed using an agentic AI ecosystem for human-led, natural-language software development, called PyAutoScientist. If you're interested in how this works, visit https://github.com/PyAutoLabs. Documentation is still a work in progress, but we're actively expanding it.

💬 Feedback

These are significant changes to how PyAutoLens is developed and used, and we'd love your feedback. In particular, the AI tooling is evolving rapidly, so if you try the AI assistant or agentic workflows, please let us know what works well, what doesn't, and where the documentation can be improved. Your feedback will directly shape future development.

A huge thank you to everyone who has contributed to PyAutoLens over the years. We're excited to see what these new capabilities enable for the community!

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📦 Full release notes & changelog: v2026.7.9.1 release