RECENT ROTATIONS

Thinking about using a large language model (LLM) at your organization? Check out this tutorial to see how to bootstrap an MVP using an open source pre-trained model from HuggingFace and a free Ensign account.

It can be frustrating as a developer to wait for a large test suite to run, particularly when you have to run the suite multiple times in development. In this post, we’ll explore parallel and short modes with Go tests in an effort to …

A few weeks ago, I’d never used an event stream before. Read on to hear how I built my first event-driven data science app — the biggest challenges, my lessons learned, and a couple of key takeaways!

If you can’t deploy your models, you might feel frustrated, but you aren’t alone — only 1 in 10 data science projects ever gets deployed. The fix? We need to shift our mental model towards “thinking in events.”

Working at a startup is an exciting challenge, an opportunity for growth, and not for the faint of heart. Here are a few things that currently resonate with our team, immersed as we are in that startup life.

The Go programming language provides powerful tools for managing concurrency, but robust asynchronous code requires us as developers to design around uncertain tasks and manifold queues. Step through an async codebase with us in this post!

Profitable businesses rely on their own data to grow, make smart choices, and delight their customers. Easier said than done! While a batched approach can provided limited success, real-time data analytics often give better ROI.

Although micro-frontends are not new, they’re gaining popularity in the frontend community. Never heard of micro-frontends before? Not quite sure what they are or if you should use them? Well, let’s talk all about it!

Calling all programmers! It’s time to get a bit more curious about data storage, because we’re about to enter the age of PostSQL…

A new SEC proposal will make publicly traded orgs disclose ESG data like environmental impacts and workforce stats. Many anticipate challenges to compliance, but a new approach to data synthesis is here to help.

The release of artificially intelligent tools for public use has spurred a heated debate in the past few years. While AI art was a lark for some and an opportunity to experience gender euphoria for others, to artists it represented stolen …

These days nearly every tech exec is thinking about how to bring AI and automation to the enterprise. Use cases vary, but all rely on one thing — a data management layer to connect and coordinate data across the organization.