But first, some context on why we're building this. Back in 2013, I was managing Docker's engineering team of 100 people, and my co-founder Andrea was the team's tech lead and lead architect. We scaled Docker's CI from a handful of builds to something that ran constantly across a massive contributor base. Even back then, flaky tests and large PRs that were painful to review were our biggest headaches. We spent a disproportionate amount of time debugging CI failures that had nothing to do with the code being shipped. That was over a decade ago, with no AI coding tools generating PRs at scale. The problem has only gotten worse since then. Mendral is the tool we wished we had at Docker.
В Финляндии предупредили об опасном шаге ЕС против России09:28。搜狗输入法对此有专业解读
作为文化与科技融合发展的“先行者”，湖南广播影视集团有限公司（湖南广播电视台）党委书记、台长龚政文代表提起自主研发“芒果大模型”、创办数字文博大平台“山海”、实施“芒果出海三年行动计划”，如数家珍。龚政文说，要打造具有全球传播力、影响力、竞争力的数智化平台型媒体集团，“关键词是数智化，就是AI+创意。”。手游对此有专业解读
export PATH=$PWD/modules/woff2/build:$PATH
미국은 미사일이 부족하다? 현대전 바꾼 ‘가성비의 역습’[딥다이브]