Metabase

Material Event filed 2026-07-29

Think of all the stuff you have to do every morning before you even start coding. You need to get caught up from the day before, look over your tickets, figure out which one to work on, clone the right repo, check out a branch, get up to speed on the relevant area of the code, then maybe you can start rolling. What is a persistent agent? Most agents are one-shot: you give them a task, they do it, and everything they learned disappears with the session. A persistent agent maintains continuity: it saves its tasks and memory to disk, so it can pick up an unfinished job, wait for your feedback, and resume without you having to re-explain anything. Persistent Agent , or pa for short, is our lightweight memory and task system for handling chores and getting to the fun stuff faster. pa is inspired by the Night Shift Agentic Workflow and note-taking systems like Obsidian . pa frees up about 15% of my time each day All those startup and admin tasks typically eat up between 10% and 20% of a deve

We’ve built a Claude skill that teaches you Metabase . It keeps track of what it has already covered, uses your own data for examples, and is designed for learning not just one-off questions. Why use AI for learning Metabase Compared to static guides, an LLM can be much more engaging, ask you questions, and then use your answers to decide what else to cover or where to maybe add some information. In fact, perhaps the most useful aspect of Claude is its ability to be pedantic. If you give it a vague answer to a question, or you’re half right and half wrong, it will tell you what specifically you got right and where you might need some help. It can be slightly annoying at times, but it really helps to hone your skills. In addition, you can ask an LLM questions. It will present the material to you and ask you questions, but it is there to help you. You can ask it to explain, to clarify, to expand on points. This allows you to be much more active in your learning than when just reading mat