I am Chris Chinchilla 👋

Many organizations work with clients and infrastructure around the world and face significant challenges ensuring they follow privacy regulations as their application data flows across borders. This post looks at how you can use Bacalhau to handle distributed cross-border processing and anonymize data with Microsoft Presidio to help meet some of these requirements.

API documentation is generally predictable, follows common patterns, and is one of the least interesting tasks in a documentation project. It's also a task with a degree of pre-existing automatic generation tools and practices. It sounds like a perfect use case for AI-assistive tools! In this post, I look at general and specialized tools for generating API documentation from code and text-based prompts. I also cover potential problems and pitfalls in generated docs and how to test the generated output to ensure its accuracy.

Machine Learning requires vast amounts of resources, and distributing these resources across multiple devices and regions helps with cost, speed, and data sovereignty. Bacalhau is an open-source distributed orchestration framework designed to bring compute resources to the data where and when you want, drastically reducing latency and resource overhead. Instead of moving large datasets around networks, Bacalhau makes it easy to execute jobs close to the data’s location, reducing latency and resource overhead.