Autoresearch: Run ML Experiments on Autopilot with Git-Backed Rollback
Plus automate Google Workspace with gws CLI
Grab your coffee. Here are this week’s highlights.
📅 Today’s Picks
gws: One CLI for Drive, Gmail, Calendar, and Sheets
Problem
Managing Workspace through the browser means clicking through multiple apps just to pull a spreadsheet, check your calendar, and send a follow-up email.
That manual loop adds up fast when you repeat it daily or weekly.
Solution
gws is a CLI that unifies every Workspace service behind simple terminal commands with structured JSON output ready for scripting.
Key capabilities:
Single interface for Drive, Gmail, Calendar, Sheets, Docs, and more
JSON output that pipes directly into your existing scripts and workflows
100+ AI agent skills that let LLMs orchestrate Workspace tasks programmatically
Autoresearch: Run ML Experiments on Autopilot with Git-Backed Rollback
Problem
Running experiments manually means adjusting one hyperparameter, waiting for training to finish, checking results, and repeating for hours.
Progress stops the moment you step away, and you only explore the narrow set of ideas you thought of.
Solution
Autoresearch is an open-source framework that solves this with an autonomous loop. An AI agent commits each change to git, trains for 5 minutes, and checks whether the model actually improved.
If the metric improves, the change stays. If not, the agent reverts to the last good state automatically.
Key benefits:
Git-backed snapshots before every experiment for instant rollback
Structured results log that survives crashes and tracks every attempt
Continuous looping with no human confirmation needed
☕️ Weekly Finds
PyMC [ML] - Bayesian statistical modeling with advanced MCMC and variational inference algorithms
lifelines [ML] - Survival analysis in Python, including Kaplan-Meier, Nelson-Aalen, and regression
causal-learn [ML] - Causal discovery with constraint-based, score-based, and functional causal model methods
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