Your agent validates, fails, fixes, and re-validates—all before the push. 🤩
Chunk sidecars. Inner loop CI feedback in seconds.
Full tutorial: https://t.co/Rnu1FWxoGU
Uber burned its AI coding budget in four months. Most teams see that and focus on token costs.
But a 50-person eng team can lose ~$700K/year to the coordination overhead that happens after the code is written.
Read the latest Confident Commit: https://t.co/ZAEL9K3Z3Y
22s vs 69s. Same repo. Same agent. Same lint+test gates.
We ran a controlled A/B inside chunk-cli comparing sidecar validation to push-per-task CI. The result: 3.1x faster feedback.
LLM cost? Basically flat. Tokens tracked fixes, not wait time.
https://t.co/zZOfm94XLP
AI made building cheap. It didn't make owning cheap.
Our CTO @z00b's three questions for build vs. buy in the AI era:
-Does it touch what customers pay you to deliver?
-What's the cost of being wrong?
-What's the long-term cost of ownership?
https://t.co/yKti9pxbCo
Cloud changed infrastructure from fixed to dynamic capacity.
Chris from @augmentcode thinks agents are about to do the same thing for engineering teams.
Full convo with @z00b: https://t.co/Eny6mAMIag
27 seconds vs 5 minutes
That’s what inner loop validation looks like with Chunk sidecars.
Feedback in the inner loop that validates changes while your agent is still working. Cleaner commits in the outer loop. Available for CircleCI users today!
Blog: https://t.co/DRccyUei5f
Heading to #LDX3 by @TheLeadDev? 🇬🇧
Catch @z00b’s workshop on leading through uncertainty as AI reshapes how engineering teams operate.
We’ll also be talking with eng leaders about the growing gap between generating code fast and actually shipping it safely.
See you soon!
Engineering leaders are budgeting AI wrong.
Running your team at 2x for 3 weeks, then throttling them back to 1x because they hit a token cap, isn't cost optimization. It's just introducing friction into the system.
Full ep with Chris from @augmentcode: https://t.co/Eny6mAMIag
An @oaklandsoulsc jersey that tracks hydration, overheating, steps, timing, and distance run… built by a team of @OUSDNews students. ⚽💚
We’re grateful our partnership with the Oakland Soul gives students the chance to discover, in real time, their love for engineering.
AI coding agents are fast, but they don't know your team's conventions.
Chunk CLI fixes that by mining your PR history, enforcing checks before every commit, and running systematic fixes as autonomous CircleCI tasks. ✨
New tutorial: https://t.co/Gy1ipEaNbO
Toronto, we'll see you next week at @CTOCraft Con! 👋
Find our booth to talk about how to keep pipelines moving at AI speed without constant human effort to hold it together & catch @z00b discussing how to lead through market disruption.
Join us: https://t.co/i4J7nyi5pJ
Turns out Chunk exists outside the terminal too.
You can now 3D print your own Chunk and keep it close for moral support when CI has other plans.
Download files on Thingiverse: https://t.co/nSH30yqjxa
AI may write code in seconds. But who's writing the docs?
Chunk is! It can analyze your whole codebase, generate accurate docs, and open a PR. You just review and merge.
Watch the full demo: https://t.co/yyr3v8l5Fv
Introducing Chunk sidecars: fast, pre-configured environments that bring validation into the inner loop in 60 seconds or less.
Microbuilds run the checks, providing faster, cheaper feedback in the inner loop & more green pipelines in the outer.
Read on: https://t.co/lbayvUPdKh
📣 We’re hiring an AI Community Engineer! 📣
We’re looking for someone relentlessly curious, building agents just to see what happens, breaking things on purpose, and sharing what they learn.
Apply: https://t.co/34OUhGOQk4
Debugging failing CI pipelines is slow because bugs are hard to find. 🔎🐛
Chunk finds the issue, writes the fix, and opens a PR you can actually merge.
Full tutorial: https://t.co/XTNU2QjM7d
Most codebases are getting worse over time and AI is increasing the pace of change—making it easier than ever to see what’s working and what isn’t. 😬
Compound engineering is the alternative.
More from @lucaronin + @z00b: https://t.co/bwEKAXxWSw
GitHub, GitLab, or Bitbucket? 🧐
Turns out the answer says a lot about how your team ships.
We pulled the pipeline data to find out: https://t.co/ZAEL9K3Z3Y
ICYMI: CircleCI is now an OpenAI Codex plugin. 🎉
Surface failing jobs, get targeted fixes from log analysis, and optimize your pipeline config.
No context switching required!
A more agentic path to CI/CD, with Chunk built in: https://t.co/ijcCALClHQ