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The latest News and Information on Continuous Integration and Development, and related technologies.

jfrog

The Power of JFrog Artifactory as Your Model Registry

Oct 24, 2025 By Rami Pinku In JFrog
In my previous blog, we demonstrated how the FrogML SDK streamlines the process of integrating custom-built or publicly sourced models from your IDE into JFrog Artifactory. Now that your models are securely stored, versioned, and managed, the natural next question arises: “Ok, so you have some models in JFrog Artifactory, now what?” This is where the real power of the JFrog Platform comes into play.
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DevOps & Observability for Digital Catalogs: faster releases, fewer outages

DevOps & Observability for Digital Catalogs: faster releases, fewer outages

Oct 24, 2025 By OpsMatters In OpsMatters
Digital catalogs have become a core sales engine, not just a glossy PDF on a server. They power discovery, merchandising, and conversion across web and mobile experiences. When a catalog powers real revenue, the way you build and run it starts to look a lot like modern software delivery. That's where DevOps and observability enter the picture: practices that shorten release cycles, reduce risk, and keep customer experiences fast and available even on your biggest traffic days.
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circleci

Fix flaky tests in your sleep with Chunk by CircleCI

Oct 23, 2025 By Sebastian Lerner In 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.
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circleci

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

Oct 22, 2025 By Ron Powell In CircleCI
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.
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circleci

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

Oct 21, 2025 By James Oluwaleye In 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.
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circleci

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

Oct 17, 2025 By Blake Buisson In CircleCI
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.
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circleci

Implementing image recognition with React and continuous deployment

Oct 14, 2025 By Victor Mayowa In CircleCI
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.
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circleci

Building LLM agents to validate LangGraph tool use and structured API responses

Oct 14, 2025 By Muhammad Arham In CircleCI
Transitioning LLM agents from intriguing prototypes to reliable, production-grade solutions introduces a unique and significant challenge: the inherent stochasticity of LLMs. Unlike conventional software, where inputs predictably yield precise outputs, an LLM’s response can exhibit variability even when presented with identical prompts. To ensure the dependability of your LLM agent, you will need a rigorous validation strategy.
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grafana

A serverless approach to CI/CD observability with GitLab and Grafana

Oct 10, 2025 By Daniel Fitzgerald In Grafana
In today’s fast-paced development environment, it’s critical that you understand what’s happening in your CI/CD pipeline. And yet, many teams struggle with fragmented tooling that makes it difficult to get a holistic view of their dev lifecycle. For example, if you’re using GitLab for CI/CD and Grafana for observability, you’ve probably faced this challenge: how do you bring your GitLab events into your existing observability and alerting infrastructure?
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Navigating AI transformation ft. Meg Adams, Senior Director of Engineering at The New York Times

Oct 10, 2025 By CircleCI In CircleCI
In this episode of The Confident Commit, Rob Zuber sits down with Meg Adams, Senior Director of Engineering at The New York Times, for a deep dive into leading engineering teams through the AI revolution while staying true to organizational mission. Meg shares how the Times approaches AI adoption with a "measured but focused" strategy, emphasizing experimentation and opinion-formation over mandates, and why she believes AI serves as a force multiplier for what already exists in your organization and workflows.
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