I Built a Python CLI Because I Kept Forgetting the Reasoning Behind My Code
As developers, we spend a lot of time solving problems.
We debug production issues, optimize performance, refactor legacy code, and make dozens of architectural decisions throughout a project.
The problem is that a few months later, it's surprisingly difficult to remember why we made those decisions.
You might remember that you added Redis, introduced caching, changed an API, or optimized a database queryโbut remembering the reasoning, trade-offs, and impact behind those changes is much harder.
That became obvious to me whenever I prepared for interviews or updated my resume.
I could remember what I built, but questions like these were much harder to answer:
- Why did I choose this approach?
- What alternatives did I consider?
- What problem was I actually solving?
- What was the impact of this work?
- What did I learn from implementing it?
Most of that context existed only in my headโand eventually, I forgot it.
The Idea
Instead of trying to reconstruct those details months later, I thought:
Why not capture them immediately after finishing the work?
That idea became QuickSnap, a Python CLI that helps capture the context behind your engineering work while it's still fresh.
Installation
pip install quicksnap
Example Workflow
After completing a feature or bug fix:
quicksnap capture
View everything you've captured:
quicksnap list
Search previous work:
quicksnap search "redis"
Generate a STAR interview story:
quicksnap star auth-refactor
Create resume bullet points:
quicksnap bullets auth-refactor
Practice interview questions based on your own engineering work:
quicksnap practice
Why I Built It
My goal wasn't to replace Git, documentation, or project management tools.
It's simply a lightweight way to preserve the engineering context that's easy to lose over time.
Later, instead of trying to remember what happened months ago, I can search my own work and instantly recall:
- The problem I solved
- The reasoning behind the solution
- The trade-offs I made
- The outcome
- The lessons I learned
I'd Love Your Feedback
This project is still evolving, and I'm actively improving it.
Some ideas I'm exploring include:
- Better search
- IDE integrations
- Git hooks
- Team knowledge sharing
- Additional export formats
If you've ever struggled to remember the context behind your own work, I'd love to hear how you solve that problem.
You can check out QuickSnap on PyPI:
https://pypi.org/project/quicksnap/
Feedback, suggestions, and feature requests are always welcome.
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