Simon Willison

Highlight

The standout today is Farid Zakaria’s mind-bending technique that enables a SQLite database file to function directly as a runnable Linux binary executable. It is a brilliant example of stretching database structures to do unexpected things, showcasing how SQLite continues to be the ultimate Swiss Army knife for modern developers.

Posts

Your executable is a SQLite database · Source Simon highlights a highly creative Linux design pattern where an ELF binary executable is stored and run directly from within a SQLite database file. This clever hack operates by setting the database file format’s 4-byte application ID (located 68 bytes in) to SELF—standing for Structured Executable & Linkable Format—and mapping ELF components into distinct database tables. To execute it, a custom C-based self-exec interpreter extracts and loads the binary data, while Linux’s kernel-level binfmt_misc mechanism can register the pattern to execute these databases natively from the terminal. Simon provides additional details on how standard Linux environments can register this pattern, enabling developers to build highly customized, self-contained database-executable hybrid tools.

llm-anthropic 0.27 · Source Simon released a minor update to his Anthropic plugin for the LLM CLI to maintain compatibility with the recently released anthropic v1.0.0 Python SDK. This SDK version adopts httpx2 (following a similar shift by OpenAI’s python library two weeks prior), introducing breaking changes that Simon elegantly resolved using an agentic coding workflow. By prompting Fable 5 in Claude Code with the raw URL of Anthropic’s migration markdown file, he instructed the model to ingest the breaking changes, modify the codebase, and successfully pass the test suite. This release showcases a highly practical approach to maintaining open-source codebases with minimal friction by putting autonomous AI coding agents to work.

Project Pulse

This digest highlights Simon’s ongoing dedication to pushing the limits of LLM plugin development via cutting-edge AI coding agents, alongside his appreciation for clever, low-level database configurations that rethink our relationship with file structures.

🛠️ If you’re curious about how Simon’s LLM tool manages plugins under the hood, we could dive into the codebase and analyze its architecture to see how easy it is to write your own custom models.