CI / CD Notion
CI / CD Usages
Optimization tips for your CI configuration
circleci.com
https://circleci.com/blog/six-optimization-tips-for-your-config/?utm_campaign=Newsletter&utm_medium=email&_hsmi=90461945&_hsenc=p2ANqtz--9TG86OSg25X0fMyZWnTaRhBkQvpPDyyr-fx6S9JsWu15JmBDVzk1tbqUbQ91RRF7mbZ61-dte2DgPx9ajWDixnBVE5A&utm_content=90461945&utm_source=hs_email
How AI Changes Workflows
GitHub recently said it was “re-founding” itself on Copilot instead of git. GitHub has always been about the workflow — there are plenty of other hosted git providers, but GitHub was the first to put together pull requests, issues, and collaboration into a single workflow. Re-founding on Copilot is a way to acknowledge that AI will drastically change the developer workflow. Some more general lessons on how AI changes workflows, using the developer workflow as an example The same but faster ste
https://matt-rickard.com/how
History
From the 80's to 2024 - how CI tests were invented and optimized
While Google started automating its build tests in 2003, the engineering industry took longer to do the same. But automation was sorely needed: Software systems are growing larger and ever more complex… To make matters worse, new versions are pushed to users frequently, sometimes multiple times each day. This is a far cry from the world of shrink-wrapped software that saw updates only once or twice a year. The ability for humans to manually validate every behavior in a system has been unable to keep pace with the explosion of features and platforms in most software. - Software Engineering at Googlehttps://abseil.io/resources/swe-book/html/ch11.html#testing_overview Add author/source Sun Microsystem’s engineer, Kohsuke Kawaguchi, was key to ushering in the next era of testing. In 2004, he created “Hudson”https://community.jenkins.io/t/lets-thank-kohsuke-the-creator-of-jenkins/168 (later renamed to Jenkins in fun Oracle drama). At his day job, Kohsuke “got tired of incurring the wrath of his team every time his code broke the build.” He could have manually triggered tests before each code contribution, but instead, Kohsuke chose the classic engineering solution and created an automated program. The Hudson tool acted as a long-lived test server that could automatically verify each code change as it integrated into the codebase.
https://graphite.dev/blog/invention-of-modern-ci

AI Release Note
Boost your Continuous Delivery pipeline with Generative AI | Google Cloud Blog
Learn how to use Gemini models in Vertex AI to automate code reviews, create release notes, and enhance your software delivery pipeline.
https://cloud.google.com/blog/topics/developers-practitioners/boost-your-continuous-delivery-pipeline-with-generative-ai


Seonglae Cho