Most personal projects end up in a folder called old_stuff.
Mine become tools I use for years.
Here's how I make that shift.
Step 1: Build for One Use Case (Quickly)
Don't start with "I'm going to build the ultimate tool."
Start with: "I need to solve this one problem right now."
Example: I needed to extract data from a single invoice PDF. So I built a script that processed one file.
That's it. 50 lines of code. No UI. No error handling.
Step 2: Identify the Reusable Core
After you solve the immediate problem, ask: "What part of this will I need again?"
In my invoice script, the reusable part was:
- Calling the Google Document AI API
- Parsing the JSON response
- Writing to Excel
The not reusable part was:
- Hardcoded file paths
- No CLI arguments
Step 3: Refactor for Reusability
Now make it configurable:
Before:
file_path = "invoice_001.pdf" # HardcodedAfter:
import sys
file_path = sys.argv[1] # From CLIAdd:
- Command-line arguments
- A
config.yamlfor settings - A
README.mdwith usage instructions
Now it's a tool, not a script.
The 80/20 Rule
Don't make it perfect. Make it 80% reusable.
You don't need:
- A fancy UI (unless you'll actually use it)
- 100% test coverage
- Support for every edge case
You just need:
- A way to configure inputs
- Basic error handling
- A README
Conclusion
The difference between a personal project and a tool is intent.
If you design for reusability from step 2, your projects become lasting assets—not abandoned experiments.



