#GitHub

AITessl's blog post argues that repository automation needs Continuous AI, a third pillar alongside CI and CD for scheduled, auditable AI workflows that improve repositories over time. The article describes GitHub Agentic Workflows, which harden agentic workflow specifications into GitHub Actions that can run coding agents such as Claude Code, Copilot CLI, Gemini CLI, or Codex-style agents. It emphasizes read-only agent steps, restricted outputs, and human review of pull requests.

AIAI is changing developer work, and the article recommends three skills: directing AI agents, reviewing AI output instead of trusting the first answer, and using saved time for judgment-heavy problems such as customer needs and tradeoffs. It cites GitHub Copilot's built-in Rubber Duck agent, which uses a second model to critique plans, code, and tests. The author argues that developers remain responsible for outcomes while AI handles more implementation.