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Snipster — Code Snippet Manager

Case Study Summary

Project: PyBites Developer Cohort
Type: Developer Productivity Tool
Status: In Production

Results:

  • Full CLI + web interface delivered in 6 weeks
  • 100% test coverage
  • Actively used in development workflows

Context

Built during the PyBites Developer Cohort — a structured program for Python developers who want to ship real projects, not just exercises. The constraint: build something you'll actually use, with production-quality code.

Problem

Developers write useful code repeatedly. A timing decorator, an API auth helper, a data normalization function — written once, forgotten, and then rewritten six months later when the need comes up again.

The problem isn't that developers don't save their snippets. It's that existing tools (gists, Notion, random text files) don't let you search by what the code does. You end up remembering the solution but not where you put it.

Solution

Snipster: a local-first code snippet manager with a CLI interface for daily use and a web dashboard for browsing. Snippets are tagged, searchable, and accessible without leaving the terminal.

Approach and stack

  • My role: Solo developer (full-stack)
  • Stack: Python, FastAPI (backend), Typer + Rich (CLI), Streamlit (web interface), pytest + pytest-cov
  • Timeline: 6 weeks
  • Architecture: CLI-first, with a clean API layer that both the CLI and the web dashboard consume
snipster/
├── api/          # FastAPI backend
├── cli/          # Typer CLI application
├── web/          # Streamlit dashboard
├── core/         # Business logic
└── tests/        # pytest test suite

Process

  1. Defined the core data model: snippet, tags, search index
  2. Built the API layer first (FastAPI) to decouple storage from interface
  3. Built the CLI with Typer and Rich — developer-grade output, not plain text
  4. Added the Streamlit web dashboard for visual browsing
  5. Wrote tests from day one — reached 100% coverage before final delivery
  6. Deployed locally and used it daily to validate real-world utility

Observable results

  • 100% test coverage — every code path verified
  • Two interfaces — CLI for speed, web for browsing — sharing the same API layer
  • In production — actively used in daily development workflow
  • Real utility — reduced the "I know I wrote this somewhere" friction to zero for my personal workflow

Learnings

Test-driven development from day one changes how you design code. When you write tests first, the interfaces become cleaner because you're forced to think about how code will be called before you write it. TDD isn't just about coverage — it's about design discipline.

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