Post by CloudKitchens

AI is writing more code than ever, but despite the hype, it’s far from flawless. Human engineers make mistakes too, and when bugs slip past multiple layers of testing, users inevitably feel the impact. Teams can reduce this risk through more rigorous automated testing before code reaches production and by putting smart guardrails in place: systems that detect anomalies, catch regressions early, and limit the blast radius when something goes wrong. The challenge, of course, is doing all this without slowing teams down or hurting developer velocity. Today, we are sharing deepdive into our Deployment Canary system. Our new blog post breaks down details of running it in production: real data, real challenges, and hopefully a few insights to help you build your own. - Over 80% of all our service releases are conducted via canary, and over 95% of releases for services in the critical path leverage canary. - We blocked over 1,100 bad releases in Q3 2025 alone, preventing potential outages. Ready to see CloudKitchens’ journey towards confidence deployments that go beyond the “idealized” model sold by the CI/CD vendors? ➡️ Read the full post here: https://lnkd.in/gvzMQ_x8 We're still pushing boundaries, working on sophisticated user-segmented rollouts and tuning AI to reduce false positives. If you're passionate about solving these critical engineering challenges, we want to hear from you. Explore Careers at: - City Storage Systems - https://lnkd.in/g7cz_Cdp - CloudKitchens - https://lnkd.in/gcZJckEP - Otter - https://lnkd.in/g--7FwDu - Picnic - https://lnkd.in/geyN_CQD #AICoding #CanaryDeployment #DevOps #SRE #SoftwareEngineering #TechBlog #Infrastructure