Show HN: Logbooks, notebook computing for coding agents (github.com)

A new repository introduces "logbooks," a structured notebook computing approach designed for coding agents like Claude Code. This method integrates templated markdown files with executable code, allowing coding agents to execute tasks more flexibly compared to traditional environments like Jupyter Notebooks. The logbook format empowers users to submit natural-language instructions alongside formal parameters, enabling dynamic code modification and execution. For instance, a simple "Hello World" operation can be customized by user requests, demonstrating the interactive potential of this approach. Significantly, logbooks address some of the limitations associated with conventional notebook tools, such as complex JSON formats and dependency management issues. Unlike Jupyter, the logbook system can smoothly interact with tools like `uv` for dependency handling and access environment variables more predictably. This innovation aims to make notebook-style workflows more accessible, particularly for business users and non-engineers, who can leverage coding agents for tasks that were previously reliant on extensive technical support. While still in a nascent stage, the repository encourages further experimentation and refinement of this concept within the AI/ML community.