Dependabot sounded the alarm on a large scale. Thousands of repositories automatically received pull requests and warnings, including a high vulnerability score and signals about possible compatibility issues. According to Valsorda, this shows that the tool mainly checks whether a dependency is present, without analyzing whether the vulnerable code is actually accessible within a project.
Industry professionals are realizing what's coming next, and it's well captured in a recent LinkedIn thread that says AI is moving on from being just a helper to a full-fledged co-developer - generating code, automating testing, managing whole workflows and even taking charge of every part of the CI/CD pipeline. Put simply, AI is transforming DevOps into a living ecosystem, one driven by close collaboration between human judgment and machine intelligence.
We build production platforms with AI every day, and we work with teams doing the same with their own stack -Cursor, Claude Code, Copilot. The difference shows up fast. By day two, some codebases are already harder to change than they were yesterday. Others keep getting easier. The difference is never the model. It's what the code lands in. The teams we work with that hit a wall? It's always the same story.