Rami Krispin

@ramikrispin.bsky.social

Senior Manager Data Science and Engineering at  | Docker Captain 🐳| Time-series analysis & forecasting My newsletters: Weekly updates: https://ramikrispin.substack.com AIOps: https://theaiops.substack.com Forecasting: https://theforecaster.substack.com

My weekly newsletter is out! 🔹 Open Source - Google Research's new project: Regularized Recursive Self-Improvement 🔹 New learning resources - MLA, Fledge Alpha, Jev decision models 🔹 Book of the week - AI Agents with MCP by @kylestratis.com ramikrispin.substack.com/p/self-impro... #ai #datascience

Self-Improving Agent Harnesses, AI Agents with MCP | Issue 109

Explore RRSI for improving agent harnesses, new resources on attention, decision models, and API design, and AI Agents with MCP by Kyle Stratis.

ramikrispin.substack.com

I just published a new tutorial in my Docker 101 series for AI/ML developers. Building and running an image confirms that the application works, but inspection reveals the metadata and runtime defaults that Docker stored in the artifact 👇🏼 theaiops.substack.com/p/how-to-ins... #ai #docker #aiops

How to Inspect a Docker Image

Learn how to inspect a Docker image, read its metadata and runtime configuration, and view its build history and filesystem-layer identifiers.

theaiops.substack.com

Issue 108 is out! This week’s agenda: 🔹Open Source of the Week - ShinyReact 🔹New learning resources - LangSmith, specialist agents, software factories, and building agents in Python 🔹Book of the week - RAG with Python Cookbook by Dominik Polzer ramikrispin.substack.com/p/react-inte... #rstats #ai

ShinyReact and RAG with Python | Issue 108

Explore ShinyReact for React-based Shiny interfaces, resources on production agents and software factories, and RAG with Python Cookbook by Dominik Polzer.

ramikrispin.substack.com

I started a new sequence of tutorials, this time focusing on running LLMs locally on Mac with MLX LM. MLX LM is Apple’s framework for running LLMs locally on Apple Silicon, based on MLX - an array framework designed for machine learning on Apple Silicon 👇🏼 #ai #llm #mlx

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If you are not familiar with the MLX Fast project, you should check it out. MLX Fast is a competition to make the same #AI model run faster on Apple Silicon by optimizing the inference engine rather than changing the model itself. 🧵👇🏼

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My physical copy of AI Agents with MCP showed up...it's real! You can order the ebook now, and the print edition should be shipping soon, with pre-orders open. Over 330 pages on the Model Context Protocol, up to date with the July spec rewrite and Python SDK v2. kylestratis.com/books/ai-ag...

A super handsome guy holds AI Agents with MCP in Harvard Bookstore, a bookstore that doesn't actually carry the book.

A new tutorial in my SQL AI Agents series 👇🏼 I recently started a new series of tutorials that focuses on SQL AI agents in my newsletter 🗞️. This series is beginner-friendly, starting from the foundation all the way to production. ramikrispin.substack.com/p/prepare-da... #ai #sql #python

Prepare data for a SQL AI agent with DuckDB and Ibis

Prepare SFO passenger data for a SQL AI agent, create a persistent DuckDB table through Ibis, and validate it with native SQL.

ramikrispin.substack.com

Today, I’m proud to announce Homebrew 7.0.0. The most significant changes since 6.0.0 are faster installations, stronger sandboxing, native macOS app, vulnerability checks, advisory database, end of macOS 10.15 support and Intel Macs to Tier 3.

7.0.0

Today, I’m proud to announce Homebrew 7.0.0. The most significant changes since 6.0.0 are faster installations and upgrades, stronger sandboxing, a native macOS app, built-in vulnerability checks and an advisory database, the end of macOS 10.15 support and Intel Macs moving to Tier 3.

brew.sh

After a long break, I am returning to my "Getting Started with SQL AI Agent" series. This sequence of tutorials is going to cover two topics: ✅ Foundation of SQL AI agents ✅ SQL AI agents in production This one covers the prerequisites 👇🏼 ramikrispin.substack.com/p/set-up-a-p...

Set up a Python environment for SQL AI agents

Set up Python for SQL AI agent tutorials with uv, venv and pip, or a Docker-based VS Code Dev Container.

ramikrispin.substack.com