01 / THE SIGNAL

我们发现了什么

Show HN:Agenttik — 使用 AI 智能体并行处理多个项目。今年暑假期间,我开始用最新的 AI 模型在个人项目上做一些尝试。

  • 来源:Hacker News(发现于 2026-09-16)
  • 证据等级:D · 发现产品或需求信号,暂未获得可核验的商业证据。
  • 商业模式:Subscription SaaS
  • 主题:AI Agent
  • 初筛评分:15/100 · 收录 1 次
#工作流自动化#待验证#产品发现
02 / SOURCE & EVIDENCE

证据,比故事更重要。

发现产品或需求信号,暂未获得可核验的商业证据。

规则清洗与初筛,未经人工商业核验。原文语境、实际客户和付费情况仍需自行验证。

引用与数字披露

来源类型(原作者自述/第三方测算/媒体转引)需采集端标注,本版尚未落字段。

短句引用
作者
未标注
抓取日期
来源类型
未标注
数字口径
币种
未标注
口径
未标注
披露主体
未标注
披露日期
未标注

中文辅助译文(来源摘要)

你好!我几乎每天都在阅读 HN,已有近 16 年。非常高兴这个社区的存在。这是我的第一次 Show HN,所以我希望你们会觉得这个工具有用或有趣。在暑假期间,我开始在自己的个人项目上尝试最新的 AI 模型。有一段时间,我开始并行地处理同一个项目,并尝试不同的方法。对我来说最有效的方法是克隆仓库,将工作分配给不同的 AI workers,并行处理但使用不同的分支和文件夹。这让我能够在之后审查和合并工作。问题是,并行启动多个 agent 是具有挑战性的。我可以同时处理多个功能和 bug 修复,但很难跟踪我正在处理的内容。我不断地在不同的任务之间来回跳转,从一个窗口切换到另一个窗口。这样的任务切换在精神上是令人疲惫的。假期结束后,我回到日常工作,继续使用类似的方法,但不是在单个项目上,而是同时在多个项目上使用,但我仍然找不到一种更有条理、又不至于精神消耗过大的工作方式。这个领域发展得非常快,我一直没有找到适合自己的工具,所以我决定自己打造一个。我想要一个能帮助我同时管理多个项目、与多个 agent(甚至是来自不同提供商的 agent)协作的工具,让我能够根据项目在个人订阅和工作订阅之间进行选择,让我能够轻松地在不离开工具的情况下审查更改,或者完全交给 agent 全权处理;一个具有快捷键以便快速切换的工具,一个可以安排工作或将工作排入队列以便稍后执行、让 agent 依次处理任务的工具。agenttik 是我解决在并行处理多个项目的同时让自己保持主导地位这一问题的方式。我可以按自己的意愿给予 agent 尽可能多的自主权,同时让一切在脑海中保持有序。

我曾犹豫了好几个小时是否要提交,但是嘿——"如果你不为自己项目感到羞愧,那说明你发布得太晚了"。坦白说,这个项目只有一周的开发时间,从零开始,尽管它仍处于早期阶段,但对我来说已经极其有用。我在一周内构建了原本需要数月才能完成的东西,不仅构建了工具本身,还构建了其他项目(大部分功劳仍在于所使用的模型,但我原本也没有办法去分发所有的工作)。欢迎尝试。以下是我建议的入门方式:- 打开你已有的一个项目 - 添加一些通用 prompt(在项目区域中),或添加到你的 AGENTS.md/CLAUDE.md 中(指示其进行常规提交和/或使用分支进行工作,并提供关于如何构建有效测试的说明,以便它能够自我纠正)。- 选择你想要的订阅:Claude Code / Open AI subscription / ... - 选择大型模型(Opus High 到 Max / Fable Medium 到 Max / Astra Medium to Max)以获得更大的自主权,并尽量不要手把手地引导。最后,开始为你产品想要的所有功能、bug 修复等发送或排队任务……为每个任务使用一个新的 prompt(Ctrl+T / Cmd+T),我建议使用大型模型以避免投入你自己的时间进行审查,然后在 LLM 完成后,审查并归档该任务,或继续迭代。在你想到新任务时继续添加任务。当你开始感到得心应手时,添加更多项目。看到以这种方式工作时开发速度之快,真的让我上瘾了。我彻底被吸引住了。迭代速度惊人地快。非常乐意讨论你提供的任何反馈,即使这些反馈是关于其他工具或当今使用 AI 的工作方式!我希望你们喜欢它!!

译文由上游机器翻译生成,可能有误;判断请以英文原文为准。

英文原文(来源本站未改写)

Hi!I've been reading HN daily for almost 16 years.Really glad this community exist.This is my first Show HN, so I hope you find this tool useful/interesting.During my summer holidays I started playing with latest AI models on personal projects.At one point I started working in parallel with the same project and tried different approaches.The one that worked best for me was to clone the repo and distribute work among different AI workers, work in parallel but with different branches & folders.This allowed me to review and merge work afterwards.The thing is, spawning several agents in parallel was challenging.

I could work on multiple features and bugfix at once, but it was hard to keep track what I was working on.I was jumping from one thing to another, and back;from one window to another.Switching tasks like this was mentally exhausting.Holidays were over, and after returning to my day to day work, I continued working using a similar approach not on one, but also on multiple projects, but I still could not find how to work in a more organized way without the mental toll.This space is growing really fast, and I haven't been able to find the right tool for myself, so I decided to build my own.

I wanted a tool that would help me manage multiple projects at once, work with multiple agents, even from different providers, where I could chose between my personal and work subscriptions depending on the project, where I could easily review changes without leaving the tool if I wanted, or go all in and delegate fully to agents;one where I had quick shortcuts to move around, where I could schedule work or enqueue work for later so agents could work on one task after another. agenttik is my way of tackling this problem to work on multiple projects in parallel, while allowing myself to be on the driver seat.

I can give as much autonomy as I want to the agents while keeping things organized in my head.I've been hesitating for hours on whether to submit or not, but hey "if you are not ashamed of your project, you are shipping too late" Honestly, this project has exactly one week of development, started from scratch, and even though it is still early on, it has been extremely useful for me.I've built in a week things that would have taken me months, not only built the tool itself but other projects as well (most of the merit is still on the models used, but would have had no way of distributing all the work, though).Feel free to try.

Here's how I would get started: - Open a project you already have - Add some general prompt (in the project area) or add to your AGENTS.md/CLAUDE.md (to instruct it to do regular commits and/or work with branches, and also instructions on how to build effective tests so that it can self-correct). - Chose your subscriptin of choice: Claude Code / Open AI subscription / ... - Pick big models (Opus High to Max / Fable Medium to Max / Astra Medium to Max) for bigger autonomy and try not to do hand-holding Finally, start sending/enqueuing tasks on all the features you want your product to have, bugfixes, ... use a new prompt per task (Ctrl+T / Cmd+T), I recommend using big models to avoid investing your own time reviewing, and then once LLM is done, review and archive that task or continue iterating.

Keep adding tasks as you think on them.Add more projects as you start feeling comfortable.It has been really addictive for me to see the speed of development when working like this.I got totally hooked.Speed of iteration is insane.Happy to discuss any feedback you have even if it is about other tools or ways of working with AI these days!I hope you like it!!

出处https://github.com/pausan/agenttik抓取日期 · 采集源 Hacker News

03 / EVIDENCE GAPS

这条还缺什么证据?

下面每条都由本条已有字段推出(等级、理由、商业模式、来源次数、是否演示), 本站不生成推测性结论;通用验证方法放在方法论页。

  • 可核验的收入或付费证据查官网定价页与付费口径;第三方数据源(如 GetLatka)只作旁证,需标注来源与时点。
  • 只有单一来源找一手站点或其他渠道是否重复出现同一产品;社区热帖数量不等于商业进展。

通用验证清单(谁有这个问题/谁愿意付费/一个人能交付哪一小步)见我们的筛选方法。

04 / SIGNAL HISTORY

发现时间线