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By Jacob Schmitt
Every team adopting coding agents hits the same question early: where do you put the instructions that tell the agent how your codebase actually works? Two answers dominate the conversation right now. One is AGENTS.md, a plain markdown file at the root of your repo. The other is skills, packaged instruction sets an agent loads on demand. Most of the debate treats this as a formatting decision. It isn’t.
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By Jacob Schmitt
“We don’t need junior engineers anymore” has become one of those lines people repeat because it sounds obvious. The AI writes the code, so why pay someone to learn how to write it? On the latest Confident Commit podcast, Rob Zuber makes the case that this take is exactly backwards.
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By Roger Winter
An AI sandbox is an isolated environment where code from an AI coding agent runs without direct access to your machine or your production systems. If the agent runs a destructive command or a mistaken script, the damage stays contained inside the sandbox. Developers use AI sandboxing to let agents execute code freely while keeping the host and its credentials out of reach.
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By Jacob Schmitt
As development shifts toward agentic workflows, an AI agent is only as capable as the systems it can reach. Local MCP servers allow desktop CLI and IDE agents to execute multi-step tasks on your machine. But remote MCP servers (also called hosted MCP servers) extend that reach to cloud-based and background agents, allowing an agent running in a web browser, a CI runner, or a backend service to access external tools over HTTP without needing a developer’s machine running local child processes.
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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 CircleCI
Giving developers AI tools is only the first step.
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By CircleCI
AI can answer the question. But can it replace the mentor? Rob, Hanabel, and Webster discuss what junior developers need in the age of AI.
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By CircleCI
Last year was the year of AI code generation. This year is everything that comes after: validation, quality, and making sure what gets built actually ships. Nobody's better positioned to talk about that than CircleCI, and in this episode of Peer Review, CFO Blake Buisson and CMO Chitra Balasubramanian dig into what that moment means for the company and the people building it.
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By CircleCI
Seven years of institutional knowledge meets a fresh outside perspective in this episode of Peer Review. June Ko is CircleCI's Chief Legal Officer. Judson Griffin is the Chief Revenue Officer. They cover what tenure without complacency actually looks like, why boomerang hires keep happening across every region and role, and what it means to be in the middle of a market moment most people won't recognize until it's already passed. Judson's advice: get in front of the rocket and hold on. June's take: being uncomfortable is the new normal, so you might as well get good at it.
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By CircleCI
Jim Rose and Rob Zuber have been working together since 2011. By now they can plan a quarter with hand signals. But this episode of Peer Review isn't about how well they know each other. It's about what they're still figuring out. CircleCI's CEO and CTO sit down to talk about what they've always believed about software delivery (it's about outcomes, not craft), how the pace of change has forced them back into the trenches of actually building, and what it means to lead a technical organization when the state of the art is shifting faster than any pitch deck can keep up with.
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By CircleCI
Everyone keeps saying we don't need junior engineers anymore. This episode makes the case that's exactly wrong. Rob sits down with two CircleCI colleagues at opposite ends of the experience spectrum: Hanabel Mengistu, a new grad less than a year into her first engineering role, and Michael Webster, who has been writing software professionally since 2012. Together they explore what it actually feels like to enter the industry right now, when AI has reshuffled the deck for everyone.
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By CircleCI
We intentionally introduced a bug into our app to see what would happen. The agent used the CircleCI MCP Server to detect the failed pipeline, diagnose the issue from the build logs, implement a fix, and keep iterating until CI was green.
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By CircleCI
Code generation gets all the attention, but one of AI's biggest strengths might be helping non-engineers prototype ideas, explore solutions, and get work done that otherwise never would have happened.
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By CircleCI
"We'll spend weeks shaving 10 minutes off CI, then let code sit waiting 18 hours for review." Luca and Rob discuss why AI isn't just changing how we write code, it’s forcing teams to rethink the entire software delivery process.
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By CircleCI
Stop context-switching between your IDE and CI dashboard. This video shows you how to connect Cursor to CircleCI using the CircleCI MCP server so your AI agent can read pipeline failures, validate configs, and trigger builds without leaving your editor. In this demo, we introduce a bug, let CI catch it, and watch the agent diagnose and fix it autonomously through a full green pipeline. No manual log hunting required.
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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
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
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
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.