AI is embedded in your engineering organization in ways you might not fully see: coding assistants, at 91% adoption across engineering organizations, generating pull requests, SDKs calling external models, MCP servers configured in developer environments, API keys scattered across repositories. The governance question is now whether you can prove you're managing it responsibly when auditors, enterprise buyers, or regulators ask.
source & further reading
blog.codacy.com — original article
What does software development look like when agents write 100% of the code?