Tigris Blog

How AI is transforming software development from autocomplete to autonomous agents, and what this means for the future of coding.

Alibaba's new open-weights Qwen Image model shows promise in text rendering but struggles with making the text appear natural. Sometimes it just looks like it was photoshopped in because that's how they assembled the training data.

Let your datasets roam freely between the multicloud with Tigris! Today you'll learn how to import your datasets into Tigris in a snap.

We built a tool to upload a file to a bucket and then create a sharable URL. Sounds so easy an AI could do it, but can it? Models struggle to break down multi-step tasks, so we design higher order tools for them.

AI tools can make coding easier, but they can also introduce subtle errors that can turn out really bad if you're not careful.

Want to do vibe coding with Tigris? We released a MCP server so you can make it happen. 😎

Caught the talk at SCaLE but want to learn more? Here's a list of resources that were mentioned during the talk.

Your AI workflows rely on models that other people post on the Internet. How can you be sure that they'll stay up? Today Xe covers the history of the infamous left-pad incident of 2016 and how it could happen again with AI.

DeepSeek R1 is a frontier-grade reasoning model that you can run on your own hardware. In this article, Xe digs through the papers and slices past the hype to explain what DeepSeek R1 really gives users and how the model is revolutionary for what it is.