When I decided to build a new website, my goal was clear: I wanted something fast, secure, and simple to manage. My research led me to Hugo, a static site generator (SSG) renowned for its incredible speed and flexibility.
However, I had a significant challenge: I had next to no prior knowledge of Hugo, Git, or the automated deployment pipelines I was reading about[1][11]. This is where my journey takes a modern turn. I decided to use an LLM (Large Language Model) as my personal guide, which compressed a process that could have taken weeks of fragmented research into a focused, six-hour sprint from start to finish.
The Co-Pilot in My Command Line: The Role of the LLM
LLMs often get a bad press on the IndieWeb, sometimes seen as tools that bypass genuine understanding. My experience was the opposite. The LLM didn’t do the work for me; it enabled me to do the work myself. It acted as an interactive mentor that could:
- Provide specific, context-aware commands.
- Explain complex concepts like Git branches and submodules in simple terms.
- Diagnose error messages and offer exact solutions.
The most remarkable outcome of this approach was the speed. The entire project—from installing Hugo for the first time to having a live site deploying automatically from two separate machines—was completed in a single evening. This entire post documents that journey, a conversation between me and my AI guide.
Phase 1: The First Steps - Installation and Local Development
My first prompt to the LLM was simple: “How do I start with Hugo?” It guided me through the installation and the initial site creation[1][14].
1# Create a new Hugo site
2
3hugo new site my-new-website
4
5# Navigate into the new directory
6
7cd my-new-website
8
9# Add a theme (typically as a Git submodule)
10
11git init
12git submodule add https://github.com/some-user/some-theme.git themes/some-theme
13echo "theme = 'some-theme'" >> hugo.toml
14
15# Start the local development server
16
17hugo server
With the server running, Hugo’s LiveReload
feature instantly reflected any changes I made, creating a tight feedback loop that was essential for a beginner[2].
Phase 2: Building the Foundation with Git and GitHub
Once my local site was working, I asked the LLM, “How do I get this on GitHub?” It provided the exact sequence of Git commands to version control my project and push it to a remote repository.
1# Initialize the local repository (if not already done)
2
3git init
4
5# Add all files to be tracked
6
7git add .
8
9# Make the first commit
10
11git commit -m "Initial commit of Hugo site"
12
13# Connect to the remote GitHub repository and push
14
15git remote add origin https://github.com/your-username/your-repo-name.git
16git push -u origin main
Phase 3: The Magic of Automation - Demystifying GitHub Actions
This was the most complex part of the project. The LLM introduced me to GitHub Actions and provided a complete workflow file (.github/workflows/deploy.yaml
) to copy and paste. It explained what each section did, from installing Hugo to deploying the final public
directory to GitHub Pages[5].
A crucial insight from the LLM was the need to configure my repository’s Settings > Pages to use GitHub Actions as the build source—a small but vital step I would have otherwise missed[5].
Phase 4: Overcoming Inevitable Errors with an AI Troubleshooter
The path wasn’t perfectly smooth. When Git threw errors, the LLM became an invaluable debugger. I could paste an error message directly into the chat and get an immediate explanation and a solution.
main
vs.master
: When my local and remote branches didn’t match, the LLM explained why and gave me the command to rename my local branch.fatal: refusing to merge unrelated histories
: This cryptic error was quickly deciphered. The LLM explained that my local project and the remote one didn’t share a common starting point and provided the--allow-unrelated-histories
flag as the intentional fix.
This turned moments of frustration into powerful learning opportunities.
Phase 5: The Multi-Machine Workflow
To complete my setup, I wanted to work from a second laptop. I asked the LLM for the steps, and it provided a clear, concise plan:
- Install Hugo and Git, ensuring the versions matched my primary machine.
- Clone the repository from GitHub.
1git clone https://github.com/your-username/your-repo-name.git 2cd your-repo-name
- Initialize the theme submodule. The LLM highlighted this vital step, explaining that cloning a repository doesn’t automatically download its submodules.
1git submodule update --init --recursive
My workflow is now perfectly synchronized. I git pull
before I start working and git push
when I’m done.
A Note on This Post: A Human-AI Collaboration
In the spirit of transparency, this blog post is itself a product of the collaboration I’ve described. I provided the key topics, personal experiences, and the overall narrative structure. The LLM then did the “donkey work” of writing up the detailed explanations and formatting it all in Markdown, ready for my Hugo site. It’s a real-world example of using AI to augment, not replace, the creative process.
Conclusion
This journey has been about more than just learning Hugo; it has been an exploration into a new way of learning. The combination of Hugo’s power, Git’s robustness, and the 24/7 guidance of an LLM created a learning environment that was both efficient and empowering. It proves that with the right tools, anyone can tackle complex technical projects and build something they’re proud of—not in weeks or months, but in a matter of hours.
[1]: https://gohugo.io/getting-started/quick-start/
[2]: https://gohugo.io/getting-started/usage/
[3]: https://gohugo.io/templates/introduction/
[4]: https://gohugo.io/getting-started/directory-structure/
[5]: https://gohugo.io/host-and-deploy/host-on-github-pages/
[6]: https://gohugo.io/content-management/formats/
[7]: https://gohugo.io/templates/types/
[8]: https://gohugo.io/content-management/syntax-highlighting/
[9]: https://gohugo.io/content-management/shortcodes/
[10]: https://gohugo.io/content-management/image-processing/
[11]: https://dev.to/hexadecimalsoftware/getting-started-with-hugo-a-beginners-guide-to-building-fast-websites-4a6p
[12]: https://www.geeksforgeeks.org/go-language/static-site-generation-with-hugo/
[13]: https://www.youtube.com/watch?v=5qKV4e0SgLA
[14]: https://dev.to/polluterofminds/how-to-build-and-host-a-hugo-site-gl7
[15]: https://chasemao.com/article/how-to-build-hugo-website/
[16]: http://www.testingwithmarie.com/posts/20241126-create-a-static-blog-with-hugo/
[17]: https://liamasman.com/blog/posts/2025/04/creating-a-simple-blog-with-hugo-and-netlify/
#Hugo #Git #GitHub Actions #CI/CD #Static Site #Beginner #LLM Generated Content