CircleCI

San Francisco, CA, USA
2011
  |  By Jacob Schmitt
Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).
  |  By Rin Ogawa
In this article, you will get an easy-to-understand explanation of what an API (application programming interface) is and how you can use them to enhance your software applications or services.
  |  By Yuna Nakabayashi
An IDE (integrated development environment) is software that combines all the functions needed for development in one place. Without an IDE, developers would need to use both a text editor to enter code and a separate compiler to make the program understandable to the computer. An IDE combines these features into one tool, making development more efficient.
  |  By Tadashi Nemoto
For Android developers, test automation on CI/CD platforms such as CircleCI has become an indispensable part of the development workflow. But merely implementing automated testing is no longer enough to remain competitive and continue to develop at speed. Developers must also work to continuously monitor, maintain, and improve their test automation. As an application grows in complexity, the scale of development grows, as does the number of automated tests.
  |  By Aakar Shroff
Every few months, the CircleCI product organization is going to round up some of the cool stuff we’ve created for you. Read on to learn about the new security, productivity, and speed features you can take advantage of.
  |  By Jonathan Lessinger
The power of LLMs to solve real-world problems is undeniable, but unfortunately, in some cases, only theoretical. What’s stopping us from getting the most out of OpenAI’s text completion capabilities in production apps? One common problem is the inability to confidently guard against bad outputs in production the way we’re used to doing with non-AI test suites. Let’s go one step deeper. There is no equivalent of code coverage for an LLM.
  |  By Jacob Schmitt
The testing pyramid model untangles the complexity of software testing by fitting it into an efficient hierarchical structure. By focusing on unit tests at the base, integration tests in the middle, and end-to-end tests at the top, the testing pyramid ensures that most testing efforts are spent on tests that are fast, reliable, and easy to maintain. This allows for quicker iterations, improved code quality, and more stable releases.
  |  By Michael Webster
An LLM hallucination occurs when a large language model (LLM) generates a response that is either factually incorrect, nonsensical, or disconnected from the input prompt. Hallucinations are a byproduct of the probabilistic nature of language models, which generate responses based on patterns learned from vast datasets rather than factual understanding.
  |  By Jacob Schmitt
Microservices architecture is a method of developing software systems that structures an application as a collection of loosely coupled services, each focusing on a single function or business capability. Each service operates within a discrete, confined context, communicating with other services through well-defined interfaces — typically APIs.
  |  By Jacob Schmitt
Test-driven development (TDD) is a software development process that involves writing tests for your code before you write the code. This approach has transformed the development methodology around testing. While the traditional waterfall model of software development was linear, with testing occurring near the end of one long timeline, TDD makes testing an ongoing, iterative process.
  |  By CircleCI
In this episode, Rob is joined by Luis Ceze, CEO of OctoAI and a distinguished professor of computer science at the University of Washington. Together, they unpack the surge of interest in AI, attributing it to the convergence of factors like the unprecedented availability of data thanks to the internet boom and the accessibility of powerful computing resources.
  |  By CircleCI
In this episode, Rob is joined by Carolyn Mooney, the CEO of Nextmv, a decision ops platform. As a seasoned expert in Decision Science, Carolyn delves into the nuanced differences in decision optimization and logistics across various industries, drawing from her experiences at Zoomer and Grubhub.
  |  By CircleCI
Beginning with the planning and coding phase, DevOps progresses through continuous integration, testing, deployment, monitoring, and feedback.
  |  By CircleCI
For a long time, the domains of Machine Learning and AI on one side, and software development on the other side, were separate kingdoms. Sometimes, they touched, and something magical would happen. But more often, things didn’t really work out. They faced challenges stemming from a lack of mutual understanding, shared language, and compatible tools. With the meteoric rise and increased accessibility of powerful generative AI and LLMs, the need for collaboration to achieve real-world engineering and customer value has never been more vital.
  |  By CircleCI
In this episode, Rob is joined by Patrick Debois, a seasoned industry expert and DevOps pioneer. Patrick shares his personal odyssey within the realm of DevOps, reflecting on the current state of the industry compared to his initial expectations. The conversation delves into the convergence of business analytics and technical analytics, exploring innovative approaches developers are adopting to integrate generative AI into their products.
  |  By CircleCI
Agile is an approach to software development that places flexibility, collaboration, and customer satisfaction at its core.
  |  By CircleCI
In this episode Rob is joined by Dave Farley, software legend and author of books "Continuous Delivery" and "Modern Software Engineering”. The two tackle the essence of software development culture and the current state of software delivery. They unpack why it’s important to prioritize problem-solving abilities over technical skills when it comes to hiring, emphasizing a healthy culture and the need for continuous learning on the job.
  |  By CircleCI
Continuous delivery (CD) is a software development methodology that emphasizes automated testing, frequent code integration, and rapid deployment to reduce development cycle times.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.

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.