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Deploying a SolidStart app to Vercel with CircleCI

Deploying web apps can feel overwhelming. Multiple moving parts, including frameworks, hosting, databases, and automation tools make having a smooth, automated workflow seem impossible. But having an automated workflow is worth the effort; you can focus on building features and improving your app instead of worrying about manual deployments or server management.

Enforce type safety with TypeScript checks before deployments

TypeScript introduces the benefits of static typing to JavaScript, allowing developers to identify bugs at an earlier stage. However, relying solely on developers to run type checks locally isn’t enough. Without tsc being called, a person can just leave the invalid code and it may pass to production. This tutorial will show you how to set up CircleCI to automatically run the TypeScript type checks on each push.

Integrate CircleCI with Railway for automated deployments

The speed and reliability of deploying backend and full-stack applications are usually a concern for development teams. Fortunately, Railway is a developer-friendly platform that allows you to deploy apps with limited configuration. It is also quick, easy to use, and has reasonable defaults. Now, imagine pairing that with CircleCI, one of the strongest continuous integration platforms available.

Validate CDC data in your CI/CD pipeline using CircleCI

Change Data Capture (CDC) is a technique used to identify and capture changes, such as inserts, updates, and deletes, in a source database so they can be replicated to another system in real-time. This approach is crucial in modern data pipelines, especially for powering data lakes, analytics platforms, and event-driven applications that depend on up-to-date information. Setting up a CDC pipeline is only the first step.

Fix flaky tests in your sleep with Chunk by CircleCI

A test fails. You rerun it and it passes. You shrug and move on. This is how most teams deal with flaky tests. The “rerun until green” approach works in the moment, and rerunning from failed tests is a useful way to confirm whether a failure is real. But reruns don’t fix the underlying issue. Over time, they burn CI resources and can hide real instability in your code. On the other hand, fixing flaky tests can mean hours of work.

DORA is right: AI is an amplifier, for better or worse

The 2025 DORA report just surveyed nearly 5,000 technology professionals and delivered a verdict that should reshape how you think about AI investment: AI doesn’t create organizational excellence; it amplifies what already exists. For teams with solid foundations, AI is a force multiplier. For teams with broken processes and dysfunctional systems, AI magnifies the chaos.

Set up a live code editor in Next.js with CircleCI

Interactive playgrounds have changed the way developers learn and experiment with code. Instead of having to copy and paste code into a separate Read–Eval–Print Loop (REPL) or local environment, users can write, edit, and run code directly within the tutorial or application interface. Adding this type of editor to a Next.js app makes it more engaging and helps users understand better by eliminating the need to switch between different tools.

What is autonomous validation? The future of CI/CD in the AI era

Over the past decade, CI/CD has redefined how modern software is built and shipped. CircleCI has been a leader in that transformation, working alongside the world’s best engineering teams to build a reliable foundation for continuous delivery at scale. Today, those foundations are under new pressure as AI reshapes every aspect of the delivery cycle. Developers are producing more change with less certainty about what those changes touch.

Implementing image recognition with React and continuous deployment

Integrating artificial intelligence (AI) into web applications can significantly enhance user experience. AI offers features like image recognition to process and analyze user-uploaded images. Combining this with a robust continuous integration and continuous deployment (CI/CD) pipeline using CircleCI ensures seamless updates and reliable delivery. In this article, you will learn how to build a React app that uses TensorFlow.js for client-side image recognition and set up automated testing with CircleCI.