展示HN：我开发了一个工具，可以自动将工单转换为设计文档和拉取请求（PR）。
嗨，HN！我开发了 Code Prodigy（<a href="https://codeprodigy.io" rel="nofollow">https://codeprodigy.io</a>），这是一个自主的 AI 工程师，能够在您的工单追踪系统中运行。当有人在 Jira（或 Linear、Asana、Trello 等）中提交工单时，它会：
1. 在您所有的代码库中调查该工单，并创建设计文档
2. 打开一个或多个 PR（拉取请求）以实现所请求的更改
3. 对自己 PR 的评论或原始工单进行回应。进行变基、处理反馈、推送更新
它不是一个需要您主动提问的聊天窗口。它会监控您的工单追踪系统，并在工单创建后立即开始工作。在您的工程师审核并批准之前，任何内容都不会被合并或部署。
它的工作原理是：每个任务会在 AWS 中启动一个临时的 Docker 容器，并运行 Claude Agent SDK。代理会执行一个工作流程，识别相关的代码库，调查现有的代码基础，针对工单的需求制定设计计划，实施该计划，并启动新的代理来审核自己的工作。您的代码和工单只会被为您工作的代理访问，且是在私有子网中的全新 Docker 容器内。
与一些类似产品的不同之处在于：
- 完全由我们托管。您无需进行任何基础设施或设置
- 无模型锁定。我们使用当前最先进的技术
- 兼容您团队使用的任何工单系统或版本控制系统，无需迁移
- 监控其 PR 或工单上的评论，并根据您的反馈进行迭代
- 使用行业最佳实践以获得最佳的 AI 结果。例如，研究、计划、实施、独立审核、独立修订等
- 启动代理时无需任何手动步骤，从而大大加速组织的采用
我们开发这个工具是因为我们厌倦了工单在待办事项中搁置数周。让 AI 代理自动生成设计文档和 PR 是一个巨大的加速器。即使它的输出并不完美，它仍然在克服惯性方面提供了极大的帮助——使工单在几天内得到解决，而不是几周。
如果您对此感兴趣，请与我们联系，我们很乐意为您演示并回答您可能有的任何问题。我们也乐于为您团队使用的任何工单系统和版本控制系统提供支持。
<a href="https://codeprodigy.io" rel="nofollow">https://codeprodigy.io</a>
查看原文
Hi HN! I built Code Prodigy ( <a href="https://codeprodigy.io/" rel="nofollow">https://codeprodigy.io/</a> ), an autonomous AI engineer that lives on your ticket tracker. When someone files a ticket in Jira (or Linear, Asana, Trello...), it:<p>1. Investigates the ticket across all your repos, and creates a design doc
2. Opens one or more PRs implementing the requested change
3. Responds to comments on its own PRs or on the original ticket. Rebases, addresses feedback, pushes updates<p>It's not a chat window you have to prompt. It just watches your ticket tracker and starts work as soon as a ticket is created. Nothing gets merged or deployed until one of your engineers has reviewed and signed-off on it.<p>How it works: Each job spins up an ephemeral docker container in AWS with the Claude Agent SDK. The agent runs a workflow that identifies the relevant repositories, investigates the existing codebase, comes up with a design plan for the ticket's requirements, implements it, and spins up fresh agents to review its own work. Your code and your tickets are only ever made accessible to agents that are working for you, in a fresh docker container in a private subnet.<p>What makes it different from somewhat-similar products:
- completely hosted by us. zero infra or setup needed on your end
- no model lock-in. we use whatever is SOTA at the present time
- works with whatever ticketing system or version-control system your team is using. no migration needed
- watches for comments on its PRs or tickets, and iterates based on your feedback
- uses industry best practices for getting optimal ai results. Eg, research, plan, implement, independent review, independent revision, etc
- zero manual steps needed to kick off the agent, thus massively accelerating organizational adoption<p>We built this tool because we got tired of tickets sitting in the backlog for weeks and weeks. Having an AI agent automatically produce a design doc and PR has been a huge accelerator. Even when its output isn’t perfect, it still helps immensely in overcoming inertia - allowing tickets to get resolved in days, instead of weeks.<p>If this sounds interesting to you, reach out to us and we’d love to give you a demo and answer any questions you may have. We’re happy to build support for any ticketing system and version-control system your team is using.<p><a href="https://codeprodigy.io/" rel="nofollow">https://codeprodigy.io/</a>