APIs are mechanisms that enable two software components to communicate with each other using a set of definitions and protocols.
AI is reshaping API workflows—automating documentation, accelerating debugging, and strengthening security. With APIs growing more complex, manual processes can’t keep up. In this article, we’ll explore 8 ways AI optimizes API development, helping teams build faster and smarter.
On February 26, 2025, Slack faced a major outage, disrupting thousands of users due to API failures from database shard issues. This highlights the need for API intelligence to catch issues early and prevent downtime. Here’s what went wrong—and how to avoid similar failures.
APIs power modern apps, but outdated docs, debugging errors, and security risks slow teams down. AI transforms API management by automating tasks, improving accuracy, and enhancing security. Here are seven common API challenges and how AI helps solve them.
Building an API is easy—getting developers to adopt it isn’t. Alfred AI and Postbot help with integration, testing, and debugging. Which one is right for you? Let’s compare their features and use cases.
AI agents are transforming industries, automating tasks, and making smarter decisions. But without real-time data, they fall short. APIs provide the missing link, powering AI with live information. This article explores how APIs enhance AI capabilities, the challenges they pose, and what’s next.
Great API documentation drives adoption, reduces integration time, and improves developer experience. This guide explores eight standout examples, highlighting what makes them effective and how you can apply their best practices.
AI API assistants are transforming the way developers manage APIs by automating tasks like monitoring, debugging, and documentation updates. In this article, we’ll explore how these tools work, highlight key research, and compare Alfred AI and Postbot to help you find the best fit for your workflow.
API testing is essential for ensuring reliability, but should you stick with traditional test automation or adopt AI-driven testing? This article breaks down the key differences, pros and cons, and tools to help you choose the best approach for your API testing strategy.
API Management isn’t dead, but it’s evolving. Legacy tools are costly and fragmented, while teams need real-time insights, governance, and discoverability. API Intelligence adapts to modern demands, unifying data without replacing existing tools—offering a smarter way to manage APIs at scale.
