Year In Review

Agentic AIs are showing promise for tedious work. But it’s hard to explain exactly how you want it done—and getting it wrong could create big problems. This episode of Compiler investigates how Agentic AIs could carry out their tasks and how some agents are taking their baby step ... Show More

Does your health insurance chatbot need to tell jokes? No. Does it need to be accurate? Absolutely. That's hard when biases get in the way. The introduction of bias into a model can be unintentional, but it can have significant consequences for those relying on its guidance. The ... Show More

AI is notorious for making stuff up. But it doesn’t always tell you when it does. That’s a problem for users who may not realize hallucinations are possible. This episode of Compiler investigates the persistent problem of AI Hallucination. Why does AI lie? Do these AI models know ... Show More

Huge thanks to the more than 73,000 devs from 180 countries who spent 15 minutes each completing our 2022 Developer Survey. This year’s survey was longer than usual, since we wanted to ask about new topics as well as provide a historical throughline to understand how your respons ... Show More

As promised, here is the grass hat.You can find out more about Earthly here.We spend a little time talking about Nix OS the operating system you can roll back if you don't like a patch.Raise your hand if you remember learning computer science with Turbo Pascal.Maybe you didn't kn ... Show More

Summary Python has beome the de facto language for working with data. That has brought with it a number of challenges having to do with the speed and scalability of working with large volumes of information.There have been many projects and strategies for overcoming these challen ... Show More

Summary We have been building platforms and workflows to store, process, and analyze data since the earliest days of computing. Over that time there have been countless architectures, patterns, and "best practices" to make that task manageable. With the growing popularity of clou ... Show More

The Thoughtworks Technology Radar is a snapshot of technologies and practices that the company believes the industry should be interested in, based on the actual experiences of Thoughtworkers working with clients. With its first edition launched in January 2010, it is now a fixtu ... Show More

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand th ... Show More

Mark Nelson is the President and CEO of Tableau, a company dedicated to democratizing analytics and putting data back in the hands of consumers. But while this digital pioneer may be excited about the technical side of things, he’s more excited about how accessing data (and askin ... Show More

Summary The most important gauge of success for a data platform is the level of trust in the accuracy of the information that it provides. In order to build and maintain that trust it is necessary to invest in defining, monitoring, and enforcing data quality metrics. In this epis ... Show More

In the previous episode, our Senior Content Advisor Q McCallum met with product manager Chris Butler to explore the role of uncertainty and how it relates to AI product management.  That conversation sets the stage for Chris and Q to talk about communal computing today.Chris star ... Show More

Spatial computing is revolutionizing the way we interact with digital and physical worlds, but its adoption comes with questions about practicality and return on investment. As businesses explore this cutting-edge technology, they must consider how it can enhance productivity and ... Show More