AI 持续发展 - 我的厕所到生产管道

📄 中文摘要

通过将 Telegram 聊天与 GitHub 问题结合,构建了一种新的工作流程,帮助用户制定功能规格。该流程利用 Docker 镜像进行变更规划、代码实现、审查和合并,确保质量门和 CI 构建通过后发布新版本。作者在连接这些组件的过程中获得了极大的乐趣,并持续对其进行调整,以满足个人需求。虽然市场上已有现成的代理系统可以自动化这些任务,但作者的自定义流程提供了更高的灵活性和控制。

📄 English Summary

AI continuous development - My Toilet-to-Prod Pipeline

A new workflow has been developed that integrates Telegram chat with GitHub issues to help shape feature specifications. This process utilizes a Docker image for planning changes, implementing code, conducting reviews, and merging code, ensuring that quality gates and CI builds pass before releasing a new version. The author has found immense enjoyment in connecting these components and continues to tweak the setup to meet personal preferences. While there are out-of-the-box agent systems available to automate these tasks, the custom workflow offers greater flexibility and control.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等