CLI vs. MCP for AI-assisted dev isn't an either/or.
CLI = inner loop. Fast iteration, zero overhead, model already knows the tools.
MCP = outer loop. Auth, structured JSON, cross-system coordination.
Full breakdown 👇
Junior devs are generating code at senior speed. Senior devs are buried in PRs.
The bottleneck didn't disappear, it just moved to your review queue.
Read the 2026 State of Software Delivery Report: https://circle.ci/4aygjgQ
AI ships working software, but it doesn't always ship software people love.
That gap is the moat now.
More from Loïc and Rob here: https://circle.ci/4sAZadU
The goal isn’t just fixing incidents faster, it’s learning from them.
While AI can surface insights, improvement only happens when you carry that learning into future code.
Here's the full conversation: https://circle.ci/491BGr6
Want a peek at what we're shipping next? 👀
Join us at our live product roadmap session on March 5 to discover what we're shipping now, what's coming next, and how engineers are using CircleCI to move quickly (without breaking things).
Register: https://circle.ci/4u7a8cr
This is what closing the AI delivery gap looks like.
Chunk detects flaky tests, fixes them, validates the change, and opens a PR automatically. No manual cleanup required!
▶️ Demo: https://circle.ci/4oEksER
📣 PSA: Shipping faster is not the same as delivering value.
If your sales, marketing, or legal teams aren't ready, AI just shifts the bottleneck instead of removing it.
Watch the full convo to learn how teams are improving flow end to end: https://circle.ci/491BGr6
AI writes code at machine speed. Your validation doesn't.
That gap is the AI Delivery Bottleneck, and it may be costing you!
Our 2026 State of Software Delivery Report fully breaks it down: https://circle.ci/4aygjgQ
AI boosted feature branch activity across the board last year. 📈
But for the typical team, main branch throughput actually went down 7%. 📉
We dug into 28M workflows to understand why in the latest Confident Commit: https://circle.ci/49HdjQ7
Rob sat down with Luca Rossi to chat about one big takeaway from this year’s State of Software Delivery report: AI is increasing change volume, but only teams with strong delivery systems are converting that into shipped software.
The 2026 State of Software Delivery is here, and this year’s data makes one thing clear: AI has accelerated how fast we write code, but most delivery systems have not kept pace.
Read the report: https://circle.ci/4aygjgQ
Even when AI speeds up coding, delivery becomes the limiting factor. Small improvements in delivery time can reduce queueing and keep work moving.
Watch the full AI Is Breaking the SDLC session to see it in action: https://circle.ci/3YiQgEx
The biggest costs in CI rarely show up on a budget line. They show up as lost time, delayed delivery, and senior engineers being pulled into work that could have been handled earlier.
When you model that impact, the economics change quickly.
Find the full example: https://circle.ci/3L643vd
Most teams don’t notice this day to day, as it usually shows up as waiting on feedback, context switching, and stalled momentum.
But over time, it can turn into a real cost for engineering teams.
Full breakdown: https://circle.ci/4cdyXwT
When a test passes and fails on the same SHA, that’s genuine flakiness. Here’s how teams can surface it quickly and cut down recovery time.
Full demo: https://circle.ci/4oEksER
This isn’t about working faster. It’s about autonomous validation removing the friction that pulls engineers away from meaningful work.
When delivery systems adapt to each change, that time adds up quickly.
Learn more: https://circle.ci/4ag5H5U
When you look at CI throughput growth by team performance, a clear gap shows up.
🏆 Top 5% of teams increased throughput by 97%
🚀 Top 10% grew by 47%
⚖️ Median team grew 4%
AI is increasing development activity, but the gains aren’t evenly spread. We dig into why here: https://circle.ci/49HdjQ7
Ever wonder where the time goes in CI? ⏳
Rob walks us through how small delays in feedback, failures, and reviews add up to real cost for engineering teams.
Average daily CI throughput is up 59% YOY across all projects, the largest jump we’ve ever seen. 😮
What’s less obvious is how uneven those gains are and why more activity doesn’t always translate into feeling faster or more effective.
Read on: https://circle.ci/49HdjQ7
Teams expected AI-assisted coding to lighten the load, but what if it's actually making software delivery more unstable?
▶️ Watch the full session of AI is Breaking the SDLC here: https://circle.ci/3YiQgEx
Just because an AI approach works at Google doesn’t mean it’ll work everywhere else.
The best place to start is talking to your team about what’s working (and what's not).
Tune in for a look at what it’s like to build at AI speed: https://www.youtube.com/watch?v=nXx52z2OukY
Ship Smarter Session: Connecting Cursor to CircleCI with MCP
Learn how Cursor connects to CircleCI using MCP, end to end.
Full tutorial: https://circle.ci/4b0Fhr0
No backlog, no tickets, no deadlines.
What would your team build with a week to think?
We asked speakers at @leaddev.com Berlin and the answers didn’t disappoint. 👀
AI-level commit volume is breaking pipelines that were built for predictable workloads. Even with fast builds, validation can’t keep up!
Learn more: https://www.youtube.com/watch?v=CWcJ8iXaKSo
Ship Smarter Session: Fork a repo and trigger a pipeline
Here’s how CircleCI responds when a repository is forked, from fork to pipeline, end to end.
Full tutorial: https://circle.ci/4b0Fhr0
AI agents aren’t just reviewing code anymore. They’re now contributing real changes to repos, and that activity continues to grow.
Watch the full breakdown: https://circle.ci/3YiQgEx
You can’t solve AI-era delivery challenges by treating them as people problems, they’re systems problems.
When ownership and feedback live at the system level, engineers feel safe to speak up and teams move faster.
Tune into the full convo: https://youtu.be/dDu-sT11AvU
Sigstore’s Fulcio now recognizes CircleCI OIDC tokens!
Sign containers and artifacts directly from your pipelines. No keys, no secrets, just verified provenance.
Full walkthrough + example repo:
It’s the end of the year, and teams are asking the same question: Did AI really make delivery faster?
In the latest Confident Commit, we unpack why the answer isn’t always yes, and how autonomous validation helps teams finally realize the ROI of AI-assisted development: https://circle.ci/4fPfRwo
The DevOps community runs on the work of engineers, maintainers, authors, and advocates who keep this industry moving.
If a podcast, tool, or event made an impact on you this year, now’s your chance to recognize it! 💚
Vote now: https://circle.ci/4pjaz0c
