Member-only story
7 min read16 hours ago
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I woke up one morning to find a new blog post live on my site. I hadn’t written it. I hadn’t even been awake when it published.
This wasn’t a hack. This was my automation doing exactly what I programmed it to do. And that’s when I realized: I might have taken this too far.
For the past 6 months, I’ve been running an experiment. How much of technical blogging can actually be automated with AI? Not just “AI helps me write faster” — I mean full automation. From research to publishing, with GitHub PRs, code review agents, and auto-generated images.
I built five different versions of this system. Some worked. Some spectacularly didn’t. And what I learned surprised me more than the auto…
Member-only story
7 min read16 hours ago
–
Press enter or click to view image in full size
I woke up one morning to find a new blog post live on my site. I hadn’t written it. I hadn’t even been awake when it published.
This wasn’t a hack. This was my automation doing exactly what I programmed it to do. And that’s when I realized: I might have taken this too far.
For the past 6 months, I’ve been running an experiment. How much of technical blogging can actually be automated with AI? Not just “AI helps me write faster” — I mean full automation. From research to publishing, with GitHub PRs, code review agents, and auto-generated images.
I built five different versions of this system. Some worked. Some spectacularly didn’t. And what I learned surprised me more than the automation itself.
Why I Built This
I’m a backend developer who built ToolShelf — a collection of developer tools. I knew I needed content for SEO. I knew consistent blogging would help. And I absolutely knew I didn’t want to spend hours every week writing blog posts.
The math was simple:
- Good technical post: 4–6 hours
- Needed frequency: 2 posts per week
- That’s 10+ hours weekly on content
- Plus my full-time job