I’m a JavaScript developer working mainly with React, Node.js, Express, and Fastify — but recently, I was assigned a project written in Python 😅
#javascript #python #flasks #fastapi #docker #backenddevelopment #softwareengineering #legacycode #webdevelopment #developerlife
Not just Python…
A legacy Flask project (v1.2).
I had basic Python knowledge before, but I had never built a real project using it. I initially planned to learn FastAPI because it’s modern, fast, and great for building APIs — especially with type support using Pydantic and easy AI integration.
But reality hit hard.
This project was built on an older version of Flask, where:
Most online tutorials didn’t apply
Documentation was outdated or missing
Concepts were different from modern Python frameworks
To make things worse, the project depended on older versions of Python and SQL, which I couldn’t run locally without breaking my current setup.
That’s when Docker saved the day 🐳
Using Docker, I ran the entire legacy project in an isolated environment, without touching my system or affecting my newer projects.
In this video, I talk about:
Why learning a language alone is not enough
The challenges of working with legacy code
Running old projects safely using Docker
Funny (and painful) Python moments like indentation errors 😅
What this experience taught me about real-world software engineering
💡 The biggest lesson?
You never know what kind of project is coming next — so keep learning, keep exploring.
🔧 Tech Stack Mentioned
JavaScript / React / Node.js
Express & Fastify
Python
Flask (Legacy v1.2)
FastAPI
Docker
SQL
👨💻 Who This Video Is For
JavaScript developers curious about Python
Developers working with legacy code
Anyone learning backend development
Software engineers facing version conflicts
Developers interested in Docker & real-world projects
📢 Connect With Me
If you enjoy real-world dev stories, backend engineering, and learning through challenges,
👉 Like the video
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👉 Comment if you’ve worked with legacy code too!