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If you can write down how you do your work, you can automate it. Here’s what I did to support GitHub’s APAC marketing team.
I run marketing for GitHub in Japan and Korea, and events are the heartbeat of it: a recurring webinar series for enterprise developers, community meetups in Tokyo, invite-only executive sessions in Seoul. What does a developer in this market actually need right now? Which topics are worth an hour of their time, and who should be in the room? I’d happily spend all day on those questions.
What follows the decisions is another matter. Once an event is greenlit, a fixed sequence begins:
While none of these tasks are hard on their own, they’re an opportunity to paste the wrong link, skip a day, or misspell a campaign name that 15 downstream reports depend on.
Here’s the thing: I used to be an engineer. My first career was keeping databases alive on Linux servers for enterprise customers. While my coding may be rusty, I can still see a pipeline begging to be automated. This is where I put GitHub Copilot：https://github.com/features/copilot to use and where you could too in your own work.
So I didn’t write the code. I wrote down my runbooks, handed them to GitHub Copilot, and grew the automation in conversation. Today, an event I used to assemble by hand over a couple of days sets itself up from a single GitHub Issue, screens its own registrants every morning, and cleans up after itself when it’s over.
This post walks through how that works, and why I think anyone whose job involves repetitive work across tools that offer any scriptable way in (an API, or even just a CLI) can do the same.
I can’t claim the foundational idea as my own. Marketing teams at GitHub already had a habit of opening one GitHub Issue per project. This becomes the place where the plan, the discussion, and the status live together. The issue was already our unit of work. What I did was make the issue do the work.
Three GitHub primitives carry the whole system:
Everything a repository gives developers, it gave my marketing workflow for free: history, visibility, review, and a URL for every decision.
One thing made this possible, and it has nothing to do with events specifically: our event management platform exposes an API . Our CRM doesn’t even need one; its official CLI covers everything we do, and I never configured an API key for it, because the CLI signs in through the browser and handles authentication from there. API or CLI, the requirement is the same: a scriptable way in. If your repetitive work runs through a tool that offers either an event platform, a CRM, a form builder, an analytics service, the pattern in this post applies to you.
A developer reading this may already be composing the obvious objection: isn’t this reinventing the wheel? Marketing automation platforms exist, and a good one might have covered some of this out of the box. But APAC is less one market than a collection of very different ones, and even within my own team, workflows shift with each sub-region and each segment. The same webinar might run in Japanese for Tokyo one month and in Korean for Seoul the next, with different segments, different fields in the CRM, and a different definition of a good lead. Getting a packaged tool to absorb all of those variations means customization budgets, consulting hours, and waiting on someone else’s roadmap. Building it ourselves, from the tools already at hand, means a workflow change is a pull request: I describe what I want, a reviewer checks it, and it lands on the main branch through exactly the process developers use to change software.
The pipeline starts before the Issue exists. I open GitHub Copilot and say, roughly: “I want to run a webinar about AI-assisted development in November.”
What happens next is shaped by a file called AGENTS.md at the root of our repository. It’s our team runbook, written in plain Markdown, that defines how we name campaigns, how fiscal quarters map to dates, which time zone each region uses, and what a good invitation email looks like. GitHub Copilot reads it, and then, it finds a similar past event, proposes a campaign name that follows our naming rules, drafts two versions of the invitation email, and asks me the questions the runbook says to ask.
Putting a conversation at the front of the pipeline was itself a design decision, and it solved two problems at once. Automate everything, and you lose flexibility; the day you want this one event to be slightly different, a rigid pipeline has no place to say so. But if you let humans fill in everything, you get mistakes. The conversation sits exactly between the two. GitHub Copilot follows the template, so the data that lands in the Issue is the right data in the right format. And because it’s a conversation, I can bend the details for this one event without breaking the machinery downstream.
When we started, this conversation happened in GitHub Copilot CLI：https://github.com/features/copilot/cli, in a terminal. That was fine for me, but “open a terminal” is a barrier for many people I’d love to bring into this workflow. With the GitHub Copilot app：https://github.com/features/ai/github-app, the same conversation now happens in a regular desktop window. The barrier to entry dropped from “comfortable with a shell” to “can type.”
情报判断
Aioga 编辑摘要
GitHub Blog 摘要称，GitHub 日韩地区营销负责人 Tomoko Tanaka 分享了一种不写代码、借助 GitHub Copilot 自动化活动运营的做法。标题进一步将范围指向从活动规划到后续跟进的流程。
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