Open-Source

In 2023, the question was “which open table format will survive - Iceberg, Delta, or Hudi?” In 2026, that debate is over. Apache Iceberg won, and it won for reasons that have almost nothing to do with its raw performance. It won because it is the only format that both Snowflake and Databricks now treat as a first-class citizen, because the vendors picked sides on catalogs rather than table formats, and because enterprise buyers decided that multi-engine portability was worth more than a small performance edge. ...

Most AI agents are forgettable. You ask them to do something, they do it, you close the window. The next time you need help, they start from zero - no context, no learning, no continuity. Hermes Agent works differently. Nous Research built it as a persistent system that remembers what it learns and gets measurably more capable the longer it runs. This is a meaningful shift in how we think about autonomous systems. ...

A New Era for Open Data Formats Snowflake has announced the general availability of Snowflake Storage for Apache Iceberg on both AWS and Azure, marking a significant shift in how enterprises can build open, interoperable data lakehouses. This development combines Snowflake’s enterprise reliability and governance capabilities with the flexibility and openness of Apache Iceberg, one of the most promising open table formats in the data ecosystem. What is Snowflake Storage for Apache Iceberg? Snowflake Storage for Apache Iceberg enables users to query and manage Iceberg tables using Snowflake’s SQL engine while storing data in their own cloud object storage. This is fundamentally different from traditional Snowflake architectures - you get: ...

An exploration of Cline, the autonomous AI coding agent that lives in your IDE and handles complex, multi-step engineering tasks through tool-use and agency.

The Rise of Small Language Models: Why Size Isn’t Everything For years, the narrative was simple: bigger is better. GPT-4 was massive, Claude was massive, and the race seemed to be about who could train the largest model on the most data. But that story is changing. Small language models - typically under 15 billion parameters - are proving that you don’t need 175 billion parameters to solve real problems. The shift isn’t just about efficiency. It’s a fundamental change in how we think about AI deployment, cost, and what actually matters for most use cases. ...

If you’ve spent time running language models locally through Ollama or another inference engine, you’ve probably discovered the same friction point: the command-line experience works, but it’s clunky. You’re juggling terminal windows, managing conversation context manually, managing files through the filesystem. Open WebUI solves this by offering what Ollama itself didn’t: a genuinely usable interface. What Open WebUI Does Open WebUI is a web-based chat interface designed to work with language models. It’s styled after ChatGPT, with a familiar conversation layout, sidebar for conversation management, and all the modern UX conveniences you’d expect. The critical difference: you control the backend entirely. ...

Running AI Models Locally with Ollama: From Setup to OpenClaw Ollama has quietly become the go-to tool for developers who want to run large language models on their own machines without relying on APIs. No cloud costs, no rate limits, no sending your prompts to third-party servers. Just you, your hardware, and a surprisingly capable AI model running locally. What is Ollama? Ollama is a lightweight platform designed to make running open-source language models accessible. It handles the complexity of model management - downloading, optimization, memory management - so you just run a command and start prompting. ...

Two weeks ago, GitHub made a quiet but significant announcement: they are now an official sponsor of OpenClaw. This is not a casual endorsement. This is GitHub putting resources and weight behind what has become the fastest-growing open source project in history. The Numbers Are Staggering If you have been paying attention to GitHub trends, OpenClaw’s rise has been unlike anything the platform has ever seen. The project broke React’s 10-year GitHub record in 60 days. ...

In 2026, the technical gap between Databricks and Snowflake has narrowed to a sliver. Both offer world-class serverless compute, both support Iceberg/Delta as first-class citizens, and both have integrated AI agents that can write SQL better than your average intern. If you want to understand which one is right for your organization, you stop looking at the feature list. You start following the money. The Economic Moat: Lock-in as a Service For a long time, the narrative was simple: Snowflake was the “Easy” button (Data Warehouse) and Databricks was the “Power” button (Data Lake). ...

Most of what makes a productive DevOps engineer is not hidden inside vendor portals - it lives in open source, on GitHub, and it is free. The projects below are the ones I return to most often, whether for learning, daily tooling, or reference implementations of patterns that would otherwise take weeks to work out alone. DevOps and Site Reliability Engineering (SRE) Resources to calibrate what good looks like in the discipline. ...