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By Mari Federow
Upgrade to the latest version of your AWS deploy orb to get automatic registration of deploy markers. This will give you instant access to deployment timeline, auto-rollback, and version comparison when something breaks — for about five minutes of effort. It will also switch you to OIDC, so there are no long-lived keys to manage. It’s a single version bump. Here’s how.
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By Jacob Schmitt
AI is pushing code volume up almost everywhere. Shipping it is still the hard part, and the gap between leaders and everyone else is getting wider. Today we’re releasing the 2026 State of Software Delivery Q2 Pulse report, a shorter check-in between our annual reports. We analyzed more than 20 million CircleCI workflows from March 2026 to see what’s changed since the comprehensive 2026 State of Software Delivery report we published in Q1.
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By Pete Steyert-Woods
Every developer knows the moment: CI goes red, and you face a choice. Open the browser and click through the web UI to the run, the workflow, the job, the step, the log line. Or stay in the terminal, where the fix is going to happen anyway. The new CircleCI CLI exists so you can stay. It’s 1.0, it’s in beta, and it’s a ground-up rewrite in Go, not an iteration on the CLI we’ve shipped for years.
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By Roger Winter
An AI coding agent holds many conversations at once. Not only is the user prompting it, the agent also talks to the IDE, showing diffs and asking before it touches a file. At the same time it talks to tools, pulling a failing build or querying a database. Two open protocols standardize those conversations. This guide compares ACP vs MCP in practical terms: what each protocol does and when each applies. ACP (Agent Client Protocol) connects a code editor to an AI coding agent.
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By Roger Winter
A test suite can be all green and hit 100% line coverage and still miss bugs. Coverage measures which lines ran during the tests, not whether the assertions actually caught a defect. A test that calls a function but never checks the return value still counts toward the coverage number. The bug it would have prevented still ships.
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By Roger Winter
Agentic coding tools like Claude Code can write, refactor, and debug across an entire codebase, but by default they read code as plain text, the way grep does. The Language Server Protocol (LSP) changes that: it’s the same code-intelligence layer an IDE uses, and wiring it into an agent lets it read code by meaning instead of by string match. The bigger the codebase, the more a wrong guess about a symbol costs, and the more that structural view pays off.
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By Roger Winter
When you’re building with AI, you can get a lot done in 30 seconds. Waiting minutes for CI feedback on your latest change can feel like an eternity. Chunk sidecars are designed to give you feedback fast, running your full test suite against the same Linux environment as CI, directly inside the agentic loop. Traditional CI pipelines can take five or ten minutes to catch a basic lint error or failing unit test.
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By Michael Webster
Previously, I described some core approaches to validating agent written code: feedforward and feedback techniques. Feedforward techniques are about avoiding errors up front, for example by coming up with better prompts and planning strategies. Feedback gives agents a signal that they have actually achieved a task. Feedback is a key part of common agentic patterns like Ralph loops or the /goal commands in Codex and Claude Code: keep working until some known condition passes.
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By Michael Webster
This post covers some techniques to get agents to validate their work. We’ll cover why this is important, a variety of types of checks you can employ, and mechanisms you can use to enforce them.
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By CircleCI
AI wrote the code, but when something breaks, that's still on you. Code ownership matters more than ever.
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By CircleCI
Learn how to connect OpenAI Codex to CircleCI so your coding agent can check pipelines, diagnose failed builds, fix bugs, and iterate until your CI pipeline is green. In this step-by-step demo, we walk through how to install and authenticate the CircleCI CLI, install the CircleCI plugin for Codex, validate your CircleCI configuration, and give Codex direct access to CI feedback. You’ll see how Codex can.
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By CircleCI
Waiting minutes for CI feedback while you're building with AI agents kills your momentum. Chunk sidecars snapshots let you freeze your environment after setup, so every boot skips the install and starts from a cached state instead of scratch. In this tutorial, we demo how to set up Chunk sidecars, snapshot it, and boot from that snapshot. We also benchmark the difference: a cold sidecar start took 45 seconds. Booting from the snapshot took 12 seconds. That's 30+ seconds saved on every run, multiplied across every developer, branch, agent, and session.
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By CircleCI
When AI writes the code and something breaks, nobody knows what it was supposed to do.
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By CircleCI
AI agents write code fast, but without a validation layer, fast just means faster bugs. In this video, we connect Claude Code to the CircleCI MCP server so Claude can trigger pipelines, pull build failures into context, and iterate until everything is green. No context switching. No copy-pasting logs.
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By CircleCI
Technical proposals can be like campfire stories. You start at the beginning, walk through every discovery & technical detail, and eventually arrive at the point. The problem? By then, you've lost the audience.
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By CircleCI
Same repo. Same tasks. Same validation gates. The only difference? Where validation happened. Here's how Chunk sidecars returned feedback in 22 seconds versus about 69 seconds through a traditional CI pipeline, giving the agent enough time to catch the failure, fix it, and revalidate before pushing.
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By CircleCI
Run a few prompts. Looks good. Ship it. According to Laurie Voss, that's still how a surprising amount of AI software gets tested.
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By CircleCI
Many organizations fail to adopt application security best practices that work to protect software, data, and users. But integrating security tools into your application development environment can make security issues more visible and easier to catch while providing real-time insights into threats and vulnerabilities.
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By CircleCI
There are many reasons teams get stuck in the process of adopting DevOps. Now Rob Zuber, CircleCI CTO, brings an inspiring and practical guide to moving your team further up the DevOps maturity ladder, regardless of where you are now. In this ebook, Rob brings two decades of experience leading teams to work for you, with practical takeaways and strategies that work for real-world teams, from startups to enterprise companies.
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By CircleCI
But getting your team on board can be a challenge. Shipping great products isn't just about writing good code. If you want confidence in your code, knowing how to properly test it is key. Download this guide today and ship more confidently tomorrow.
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By CircleCI
Many of the world's highest performing software development teams have adopted DevOps practices, simplifying software builds, testing, and deployment. But standard DevOps process fails to address a vital issue: security and vulnerability management. Learn how to shift security left and get your entire team onboard to maintain the security of their libraries and container images.
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By CircleCI
There's a lot of excitement and accolades around startups everywhere these days -- success stories and big payoffs. But no one talks about what it really takes to get there: the day-to-day onslaught of small, technical decisions that are expected of a technical leader in a fast-growing company. In this ebook, CircleCI CTO and 20+ year technology veteran Rob Zuber shares the tactics he's used to focus on what's important, make the right decisions at the right times, and to strategize which decisions to make now, later, or never.
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By CircleCI
The concept of 'testing in production' has started to become an increasingly viable methodology and a tool for teams to use in their validation process - but what does it really mean to test in production? And what does it cost to do it well? In this ebook, CircleCI CTO Rob Zuber will explore these questions and other topics like.
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By CircleCI
DevOps is a growing trend, but where did it come from? It's the unification of two traditionally disparate worlds into one cohesive cycle. But it's not some recent invention or fad; it's the result of years of iteration, as engineers have cracked risk into progressively smaller chunks. In this whitepaper, we'll discuss.
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By CircleCI
...but it doesn't end there. Once you've hired the best, keeping them engaged, motivated, and working well with each other is an ongoing challenge. In this ebook, you'll hear from some of our top technical leaders about the techniques and principles we've spent years honing. Growing a technical company requires more than great technical leadership-it requires thoughtful, compassionate, and expert people leadership as well. Download this ebook today, and help your team thrive.
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By CircleCI
Workflows were created so that teams could run their builds in any way they choose. This ebook contains examples and config files from 8 different open source projects so you can see exactly how real development teams (at companies like Facebook and Google) are using workflows right now to ship applications.
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CircleCI is the world’s largest shared continuous integration and continuous delivery (CI/CD) platform, and the central hub where code moves from idea to delivery. As one of the most-used DevOps tools that processes more than 1 million builds a day, CircleCI has unique access to data on how engineering teams work, and how their code runs.
Companies like Spotify, Coinbase, Stitch Fix, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster.
Everything great teams need:
- Workflows for job orchestration: Define and orchestrate how job execution (such as build, test, deploy) is run, giving you complete control over your development process across multiple supported configurations.
- First-class Docker support: Run any image from Docker’s public/private registry or other common registries, customizable on a per-job basis. Build Docker images, access Docker layer caching, Compose, and more.
- Choose the CPU/RAM you need: Easily configure your compute and memory to fit your team’s specific pipelines. Choose resources that give you optimal performance and increase speed.
- Language-agnostic support: CircleCI supports any language that builds on Linux, Windows, or macOS, including C++, Javascript, .NET, PHP, Python, and Ruby. You are free to use any toolchain, framework, or version you want.
- Powerful caching: Speed up your pipelines with expanded caching options, including images, source code, dependencies, and custom caches. Gain control over cache save and restore points throughout your jobs for optimal performance.
- SSH or run local builds for easy debugging: Quickly find and solve problems using SSH access or run jobs in your local environment to ensure faster remediation of issues. Find and solve bugs where they happen for fast recovery.
- Unmatched security: The controls you need to be confident your code is protected. Host in our cloud or on your own infrastructure, LDAP for user management, full-level virtual machine isolation, and more.
- Insights dashboard: Realize the full value of CircleCI with the Insights dashboard. Track status, monitor duration, and optimize pipelines with ease.
More speed and configurability than ever before with customizable pipelines.