AI agents aren't taking weekends off.
Learn what our latest State of Software Delivery report found about weekend development activity: https://t.co/UA4tjwVDum
Agents have multiplied the paths into your product (and the docs that need checking).
Here’s how that affects an onboarding flow, and what to do about it: https://t.co/08g1PUpf9N
Your first CircleCI pipeline is just one command away.
Run `circleci` onboard to authenticate, configure your pipeline, and generate a config file if you need one. All from your terminal!
Learn more: https://t.co/c3vPPA9Ofg
Fixing the same issue across dozens of repos is slow, repetitive work. Repo Fixer is a CircleCI pipeline that runs on a schedule across every repo in the org. The engineer writes a fixer once, and the pipeline handles everything after that.
https://t.co/wsi1lhR0It
Heading to @LeadDev Berlin next week? 🇩🇪
We’ll be hosting hands-on workshops, sharing live demos, and digging into the challenges engineering orgs are navigating right now.
Join us November 9–10: https://t.co/ebRgX9yZws
Your CI pipeline is getting faster, but how many times are you running through it before a change makes it onto main? 👀
We're digging into merge efficiency in our latest State of Software Delivery Pulse Report.
More Q3 findings: https://t.co/UA4tjwVDum
“What's good for the agent is good for the human being as well.”
Our very own Ryan Hamilton joined Bits & Bolts with Paulina to talk agent experience, engineering fundamentals and what it takes to build software with confidence.
🎧 https://t.co/GnZCW8RQS4
What's changing about how engineering teams work, and what's still getting in the way?
Help shape our Q4 State of Software Delivery Pulse Report by taking our survey. You'll have a chance to win a $500 Amazon gift card, too!
Take the survey by Nov. 15: https://t.co/ELvRRyAkFk
Failed pipeline? CircleCI generates a fix prompt with the context your coding agent needs to troubleshoot. 😎
Copy it from your dashboard, paste it into Claude Code, Codex, or Cursor, and let your agent get to work.
With Smarter Testing, a code change in a suite of 9,716 tests required running just 44 impacted tests, cutting time from 3m 56s to 22s. 🤩
Here's how coverage-based test impact analysis, dynamic splitting, and auto reruns cut unnecessary CI work: https://t.co/i204D9Jx8k
Your agent shouldn't have to wait for CI to find out something broke. 👀
Here’s how Chunk sidecars brings testing into the development loop, so Claude Code can catch and fix issues earlier 👇
"AI is helping developers produce more code, and improvements in CI are making that code easier to validate. Yet most organizations aren’t shipping any faster." https://t.co/sqVOWxOqCO < some new data from @CircleCI
More code in progress doesn't necessarily mean more code shipped.
Our latest Q3 data shows why managing unfinished work is becoming a challenge for AI-assisted development, and what teams can do about it: https://t.co/Zi1S7bJyyo
More branches in flight doesn't always mean more changes landing on main.
Our Q3 State of Software Delivery Pulse Report is out.
Dig into the latest findings: https://t.co/UA4tjwVDum
Your agent can run relevant tests without pushing a single commit.
Chunk Sidecars + Smarter Testing bring targeted validation into your agent's workflow, catching issues before they ever reach CI.
@z00b's speaking at AI DevCon NYC!
"Why Your CTO Is Suddenly Writing Code” is an honest account of what happens when a technical leader goes back into the workflow to understand how AI is changing software development.
Join us November 2-4: https://t.co/X7xcngY7QI
What are engineering leaders seeing as software delivery changes?
That’s what @z00b digs into on our podcast, with convos about what’s changing, what teams are trying, and what they’re learning along the way.
Listen on the Confident Commit Substack 👇 https://t.co/QIefnATXuU
There’s understanding the problem, and then there’s getting your hands on it.
As more people get the chance to build, that connection to the work gets a whole lot more real: https://t.co/IFIyBzwtm9
🗽 NYC! We're teaming up with @QodoAI to talk about what happens when AI agents move beyond the demo and into production.
Join us on October 22: https://t.co/DlOXELSlwS