The fastest way to lose buy-in? Jumping straight to the solution before everyone agrees on the problem. More from Rob Zuber: https://circle.ci/4xmUXNZ
CircleCI
Software Development
San Francisco, California 35,631 followers
CI/CD at AI speed. Validate code autonomously. Ship confidently.
About us
CircleCI is CI/CD built to accelerate code delivery with limitless scale and speed. We help engineering teams validate code autonomously and ship with confidence at AI speed. Trusted by thousands of teams worldwide to power their software delivery.
- Website
-
https://circleci.com/
External link for CircleCI
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2011
- Specialties
- continuous integration, continuous delivery, SaaS, cloud computing, developer tools, enterprise, continuous deployment, containers, PaaS, DevOps, CICD, CI/CD, software delivery, CI platform, software testing, and developer experience
Products
![Click here to view CircleCI]()
CircleCI
Continuous Integration (CI) Software
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. Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by IVP, Sapphire Ventures, Owl Rock, NextEquity Partners, Scale Venture Partners, Threshold Ventures, Baseline Ventures, Top Tier Capital Partners, Industry Ventures, Heavybit, and Harrison Metal Capital.
Locations
Employees at CircleCI
Updates
-
Move fast or stay in control? Platform teams have been told they need to pick one for years, but AI-generated code has made that tradeoff hard to ignore. At PlatformCon LiveDay NYC on June 25, Derry B. will walk through how teams are using self-service infrastructure, policy-as-code, and platform standards to increase velocity without sacrificing governance. If feature branch activity is rising but production delivery isn't keeping up, join us: https://circle.ci/4xk4q8L
-
-
The engineers who handle rapid change best? Not the ones keeping up with every new tool, but the ones whose fundamentals don't break when the ecosystem does. Hywel Carver and Rob Zuber break it down on The Confident Commit: https://circle.ci/4v1ZNP1
-
CircleCI reposted this
"All of a sudden, I have no expertise." Rob Zuber, CTO at CircleCI breaks down what this moment in AI feels like for engineering leaders: an instant credibility gap. The only way through? Getting hands-on with the tools. Rob is top 1% of colleagues I've ever worked with, so it was a pure delight to talk to him about leading an engineering team in the AI era for the Augment Code podcast We Built What? Link to our full conversation 👇
-
"I'd rather solve really challenging problems with a team I genuinely enjoy collaborating with." One of our favorite moments from our ERG panel with Angeline M., Joel Sierra, and Crystal Rosas. 💚 Full convo: https://circle.ci/4d65hlw
-
Chunk sidecars gives your agent CI-grade feedback in seconds so failures get caught, fixed, and re-validated before anything hits the outer loop. No push, no pipeline wait, no lost context. 🤩 Demo: https://lnkd.in/gmh_hex8 Blog: https://circle.ci/4flYk1b
-
Uber burned its 2026 AI coding budget in four months. Microsoft pulled back Claude Code licenses. Amazon scrapped an AI leaderboard over runaway costs. The pattern: teams are generating code faster than they can validate it. Tokens get the attention, but delivery friction gets the bill. For a 50-person engineering team, that friction can add up to roughly $700K per year. Read on 👇
-
Same repo. Same agent. Same gates. But 3.1x faster feedback. 😎 Ryan Hamilton ran a controlled A/B test inside chunk-cli: sidecar validation vs push-per-task CI. The agent got its answer in 22 seconds instead of 69, across every replicate. The kicker? LLM costs were essentially flat. Tokens tracked fixes, not wait time. The difference was how quickly the agent got feedback. Read the breakdown from Loop Lab 👇
-
CircleCI reposted this
Heading to FinOps X in San Diego next week? Join CircleCI at the Finout Extend Summit 2026, a virtual kickoff before the conference kicks off. It's a two-hour online session to cover the 2026 FinOps stack before you arrive in San Diego. We'll be sharing how we're tackling managing escalating CI/CD costs in the AI era and what we're seeing across customer environments heading into the second half of the year. Online and free to attend on June 4th from 12 to 2 PM EST. Register: https://bit.ly/4wKoC3k #FinOpsX #FinOps #Extend2026
-
AI made building cheap, but didn't make owning cheap. Our CTO Rob Zuber has a simple framework for when building is the right call and when it's not. Three filters for whether your team should own something new: 1️⃣ Does it touch what customers actually pay you to deliver? 2️⃣ What's the cost of being wrong? Some builds are reversible; others embed in your platform and get expensive to unwind. 3️⃣ What's the long-term operational cost? The build decision happens once. Maintenance happens every day after that. Build to learn. Buy to scale.