CircleCI

Our State of Software Delivery Report sponsor, @thoughtworks, shared their take on the report: AI increases code throughput, but delivery systems haven’t caught up. More code ≠ more shipped software. Read their perspective: circle.ci/4sm03Y0

Chunk headed to Toronto for AgentCon this weekend and had a great time! 🇨🇦 We loved chatting with so many developers and catching a session from our team on agentic delivery and what happens when CI stays in the loop while AI agents build. Where should Chunk go next? ✈️

90% of our engineering team uses Claude Code daily. But the more meaningful number: a team of 8 built Chunk, our fully autonomous agent in just a few weeks. Closed loop, auto-triggered, validated PRs. @AnthropicAI published the full story: claude.com/customers/circ…

The teams winning with AI didn't just adopt it faster, they changed how validation works entirely. See how your team compares: circle.ci/4u8Fxv5

AI didn't just speed up development last year, it made recovery slower. The typical team now takes 72 minutes to recover from a failed build, up 13% YOY. The throughput gains are real, but so is the friction on the other side. Full breakdown: circle.ci/4tI44qL

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: circle.ci/4uG3Jp8

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: circle.ci/4tI44qL

AI ships working software, but it doesn't always ship software people love. That gap is the moat now. More from Loïc Houssier (@Superhuman) & @z00b on the Confident Commit: 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: circle.ci/491BGr6

Throughput. Duration. Success rate. MTTR. Your CI looks fine until you see what these numbers say about your AI-generated code. See how your pipeline compares: circle.ci/4u8Fxv5

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: circle.ci/4kPJYqJ

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: 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: circle.ci/491BGr6

We're pulling back the curtain on what we're building! On March 5th, we'll walk through the CircleCI product roadmap live, including a first look at our autonomous validation systems designed to keep pace with AI-generated change. Join us: circle.ci/4kPJYqJ

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: circle.ci/4tI44qL

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: circle.ci/4rjo5SG

We hosted @AITinkerers SF's first Build Night & every builder brought the creative energy! Games were built on the spot, the Million Dollar Homepage was recreated w/ agents, & @z00b shared a look at our work on the inner loop. Thanks to everyone who made the night a success. 💚

🎉 @z00b sat down with @lucaronin, 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. Read on: circle.ci/4rmGmyx

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: circle.ci/4tI44qL

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: circle.ci/3YiQgEx