AI teams now deploy 1,000 times a month. Your pipeline wasn’t built for that.

AI coding tools have seen rapid adoption, with teams now deploying 1,000 times a month. This pace is unsustainable for traditional pipelines, which were not designed to handle such frequency. As a result, engineers must adapt their pipelines to accommodate the increased deployment rate. This requires re-evaluating pipeline architecture and implementing more efficient deployment strategies. The goal is to maintain quality and reliability while meeting the demands of rapid deployment.