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Simon Willison builds web-edit with GPT-6 Astra

Developer Simon Willison built web-edit 0.1a0, a Python app generated by AI to let users edit local files from a phone without sending credentials through an LLM.

Simon Willison1 day agoBusiness
Image: Simon Willison

Developer Simon Willison has released web-edit 0.1a0, a new Python web application designed to allow users to view and edit local files in a folder directly through a web interface. Willison built the utility after encountering a practical limitation while working on a project from his mobile phone using Codex Remote. When he found himself needing to update a credentials file, he sought a method to perform the edit directly rather than round-tripping sensitive configuration secrets through the language model context window.

To build the application, Willison instructed AI models including Codex and GPT-6 Astra Extra High to write the underlying Python code. The browser-based interface relies on CodeMirror 6 to provide text and code editing capabilities on mobile screens. Willison noted that while Monaco is a popular alternative editor component, CodeMirror 6 was selected because Monaco does not currently offer a satisfactory user experience on mobile devices.

The application is explicitly designed to operate over a secure Tailscale network. In practice, this setup enables an autonomous software agent to launch the web-edit server in a target directory when requested. Once running, the user can connect via their phone over their Tailscale network to view or edit any file within the directory, avoiding the security risks associated with sharing credentials directly with an LLM.

For practitioners managing remote development environments and autonomous AI agents, web-edit 0.1a0 offers a practical pattern for isolating sensitive data during AI-assisted workflows. As developers increasingly rely on agents to manage server infrastructure and codebase changes, passing authentication tokens or sensitive keys through model prompts presents notable security risks. By combining AI-built micro-tools with Tailscale networking, engineers can maintain human oversight over confidential configuration files without compromising remote access from mobile devices.

This is our own summary of reporting by Simon Willison

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