Project: Quick Guides
What is it?
- Each guide is generated by a coding agent using an AGENTS.md guidelines file
- Format: mental model, glossary, getting started, real-world examples, further resources
- Some topics: Google ADK, CrewAI, LangChain, GCP Vertex AI, MCP, Terraform
- Hosted inside Demo Garden, statically served
Backstory
During my internship at Capgemini, I constantly came across new tools and frameworks and wanted a personal archive of clear intros I could return to. Most documentation is comprehensive but not fast to absorb. I wanted the opposite: something that gives you the mental model and a few real examples, then points you elsewhere for depth.
The solution was a AGENTS.md file that tells a coding agent exactly how to structure a new guide: start with a one-sentence description, lay out the mental model, define key terms, show a minimal getting-started example, give four real-world company use cases, then link out. That prompt is then run against any technology I want to add.
I learn well from examples, so having concrete use cases in every guide is the part I value most — it shows how real teams and companies have applied the tool, which is usually what documentation leaves out entirely.