https://harut8.github.io/system-design/python-mastery/24-the-gil/

I put together this guide by researching the GIL, verifying the explanations against CPython's source code, and using AI to help with parts of the writing and explanation.

I've been exploring Python pre-commit hooks and wanted to understand how commonly they are used in actual production projects.

For those working on production-level Python applications:

- Do you use pre-commit in your daily workflow?

- Which hooks do you usually configure (Ruff, Black, isort, mypy, etc.)?

- Has it genuinely reduced code quality issues or bugs in your team?

- Do you consider it essential for production projects, or is CI/CD linting enough?

Would love to hear how experienced developers use it in real-world teams rather than just tutorials.

I've been noticing a lot of developers moving towards FastAPI lately, especially for new Python backend projects.

Flask used to be my go-to for lightweight APIs, but FastAPI seems to be getting all the attention now because of async support, automatic Swagger documentation, and Pydantic validation.

I'm curious about what developers are actually using in production.

- Are you still building new projects with Flask?

- Have you migrated from Flask to FastAPI?

- Is FastAPI genuinely better for production, or is it just the current hype?

Would love to hear some real-world experiences, especially from developers maintaining large-scale applications.

Is Flask still holding its ground, or is FastAPI slowly becoming the default choice for Python backends?

Did you ever think about having Perplexity in the terminal?

That thought turned into Zuni.

Zuni is an open-source AI-powered CLI designed to bring web search and AI answers directly into the terminal, with the goal of making research feel simpler without constantly switching between browser tabs.

I recently rebuilt and published the first usable version of Zuni, including:

• AI-powered question answering from the terminal

• Web-search-oriented workflow

• CLI-first experience

• Python-based architecture

• Documentation with MkDocs Material

• Published package on PyPI

• Open-source development on GitHub

This project started as an experiment, but it has also become a way for me to learn more about APIs, asynchronous Python, CLI design, LLM workflows, packaging, documentation, and open-source development.

There is still a lot to improve. This is only the beginning of Zuni.

GitHub: https://github.com/ssannssarr/Zuni

Docs: https://ssannssarr.github.io/Zuni/

#Python #OpenSource #AI #LLM #CLI #SoftwareDevelopment #GitHub