CLI Run Ledger & Diff

Auto-record every command's parameters and outcome, and see exactly what changed between runs

Problem

When iterating on model experiments or data pipelines, developers often re-run the same command with tweaked parameters, then struggle to explain which parameter or environment caused a result change. They rely on memory or scattered notes, making reproduction and explanation costly.

Solution

A lightweight Python package that, whenever a command runs through it, automatically writes declared parameters, injected parameters, and environment info into a dependency-free ledger inside the project. A diff view highlights parameter and output changes between two runs, and commands can be replayed from the ledger.

Users

Algorithm engineers running quick experiments, data scientists, developers needing reproducible builds

MVP

Wrap commands to auto-record parameters, exit codes, and output hashes; local project ledger with no extra dependencies; CLI to diff two runs with highlighted differences; replay commands from the ledger

Revenue

Open-source core is free; team subscription adds shared ledger sync, web dashboard for run history, and collaborative annotations

Why now

AI and data experiments iterate faster than ever, driving demand for lightweight local-first reproducibility tools, while heavy experiment platforms are overkill for individual developers