Systems | Development | Analytics | API | Testing

As AI models become commoditized, the conversation is shifting from building smarter models to building data infrastructure that turns models into real business value. Enterprises are accelerating their adoption of agentic AI—systems that don’t just predict but plan, decide, and act autonomously—across their software and operations.

Chatbots have quickly moved from novelty to necessity. With over 987 million users and platforms like ChatGPT receiving more than 4.6 billion monthly visits, chatbots are now core to how people interact with digital products.

Few trends are capturing as much attention as agentic AI—autonomous systems that collaborate with humans, large language models (LLMs), and enterprise data to complete complex tasks. These agents are redefining work: handling customer service, streamlining compliance, conducting research, and orchestrating workflows across distributed environments. But as organizations scale their use of autonomous agents, one question looms large: How do we govern this power responsibly?

Fivetran’s Connector SDK and Cursor AI enable you to rapidly build production-ready connectors from scratch.

In 2025, the most important customer for your API isn’t a developer scrolling through documentation at 2 AM. It’s an AI agent making split-second decisions about which services to integrate, recommend, or build upon. And here’s the uncomfortable truth: if an AI agent can’t find you, you don’t exist. This isn’t hyperbole. It’s the new reality of how software will get built, integrated, and scaled in an AI-first world.

Starting a newsletter from scratch is a laborious and time-consuming process. You have to develop structure, tone, copy, layouts, visuals, and so many other things before you can send out your newsletter. But what if you could use AI to automate this whole process? Well, ChatGPT can empower you to create newsletter templates that are reusable, customizable, and effective, in a matter of minutes!

As artificial intelligence transforms the software development world, junior testers may find themselves asking: Where do I fit in? The rapid adoption of AI tools across the software lifecycle is changing what entry-level testers are asked to do. That’s true from code generation to automated testing. But instead of eliminating opportunities, AI is shifting the career landscape, creating new expectations and valuable growth areas for testing professionals.