Continuous AI extends traditional CI/CD by using AI agents to automate judgment-heavy tasks that can't be reduced to deterministic rules. Unlike CI which handles tests and builds, Continuous AI tackles work requiring reasoning: keeping documentation synchronized with code, detecting semantic regressions, managing translations,
Table of contents
Why CI isn’t enough anymoreWhat Continuous AI actually meansGuardrails by design: Permissions and Safe OutputsWhy natural language complements YAMLDevelopers stay in the loop, by designHow GitHub Next is experimenting with these ideasWhat Continuous AI can automate todayHow to build your first agentic workflowPatterns to watch nextWhat developers should take awayStart with one small workflowTags:Written bySort: