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Vahid A.Nezhad
Vahid A.Nezhad

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Python Prompts -Vibe Coding

#vibecoding #python #promptengineering #ai

In this short article, we’ll cover best practices for using coding LLMs to save time on everyday development tasks, so you can spend more effort building real value.

Here are 4 key stages of a typical Python backend project lifecycle, from initialization to feature expansion, showing how LLMs can help at each step.

1. Project Initialization

Start with a simple version, test thoroughly, and then scale your code step by step:

Set up a basic FastAPI app with `/healthcheck`, Pydantic validation, and Uvicorn entrypoint.
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Generate a Django project with `users` and `projects` apps. Add SQLite DB and default URLs.
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Write a `docker-compose.yml` for this Node.js + PostgreSQL + Redis stack.
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Add CORS support to this FastAPI app, allowing requests from `localhost:3000`.
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2. Git (Commit, Push, PR Review)

As long as LLMs understand your code changes, they can generate great commit messages.

Summarize changes in this file for a good commit message.
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Write a commit message for this diff, following the Conventional Commits format.
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Check this PR diff and point out risky changes or missing tests.
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Fix merge conflict in this file. Keep changes from both branches where possible.
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3. Debugging 

Explain this traceback and suggest a fix. Python 3.11 + SQLAlchemy.
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Why is this Prisma migration failing? Here's the schema and error.
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This Django form isn't saving correctly — find the issue and fix it.
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Logs show 500 on `/login`. Trace the root cause in the controller and model.
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4. Adding Features to Existing Project

Adding new features can be tricky, so make sure the LLM reviews your code carefully. Keep the feature simple at first. Sometimes LLMs expect production-ready code and try to generate your feature at that level.

Add a `PUT /users/{id}` endpoint to this FastAPI router. Validate input and return updated user.
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Create a background job in Django using Celery to send weekly emails.
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Add file upload support to this Node.js Express route. Limit to 5MB images only.
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Update this Prisma schema to support tags (many-to-many) for blog posts.
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Refactor this 200-line function into smaller reusable helpers. Keep tests passing.
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This article was originally published on:
https://medium.com/@vahida9i/python-prompts-vibe-coding-642ece6ff8f9

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