GitHub’s Agentic Workflows bring “continuous AI” into the CI/CD loop

The New Stack

by Frederic Lardinois

February 13, 2026

AI-Generated Deep Dive Summary

GitHub has introduced Agentic Workflows, a new tool that integrates continuous AI into the CI/CD process, enhancing existing tools rather than replacing them. This innovation allows developers to automate tasks by setting up workflows triggered by events in a repository, such as issue creation or code changes. Unlike traditional approaches, developers can describe desired actions in plain English, with the AI agent generating detailed steps and executing them within GitHub Actions. The tool supports leading coding agents like Copilot, Claude Code, and OpenAI Codex, enabling a wide range of use cases. These include continuous triage for issues, automated documentation updates, code simplification, test improvement, quality checks, and regular repository reports. By lowering the barrier to entry through "agentic authoring," developers can easily create workflows without complex configurations, making AI-powered automation accessible to all skill levels. Agentic Workflows promise to streamline development processes by handling repetitive tasks, freeing up developers for more strategic work. This advancement is particularly valuable in DevOps and cloud environments, where efficiency and automation are critical. By leveraging AI within the CI/CD loop, teams can maintain better code quality, adhere to best practices, and improve overall workflow efficiency.

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Originally published on The New Stack on 2/13/2026