Fahad Jaseem’s Post

GitHub Launches VibeCheck to Detect AI-Generated Code Smells in JS TS Python 📌 GitHub’s vibecheck is a blazing-fast, zero-config linter that hunts down AI-generated code flaws - from empty catch blocks to hardcoded secrets - in JS, TS, and Python. Designed for DevOps teams, it plugs the “productivity paradox” by catching 45% of AI-sloppy issues before they hit production, using regex magic instead of heavy parsing. Scan your repo in seconds - no setup, no latency, just smarter, safer code. 🔗 Read more: https://lnkd.in/dk9zEFph #Vibecheck #Javascript #Typescript #Python #Aigenerated

🚀 Hands-on with Docker: Building a Lightweight Production Container Image As part of strengthening my containerization fundamentals, I worked on creating a lightweight Docker image for a Python application to optimize performance and efficiency in production environments. 🔹 Project Overview Created a simple Python application (app.py) Built a Docker image using a lightweight base image (python:alpine) Structured the container with a proper working directory Built the image named optimizedapp Successfully ran the container and verified the application output 🔹 Key Learnings Using minimal base images significantly reduces container size Smaller images improve deployment speed and resource efficiency #Docker #DevOps #Containers #CloudComputing #Python#LinuxWorld

💻 Docker Practice: Managing External Dependencies Today I practiced building a Docker image that includes external Python libraries using a requirements file. 💠 Dependency Management: Created a requirements.txt file to list necessary packages (like requests). 💠 Automated Installation: Used the RUN pip install command in the Dockerfile to install dependencies during the build phase. 💠 Layered Build: Verified the build process as Docker copied the requirements, installed the packages, and then added the application code. 💠 Successful Execution: Ran the container and confirmed the output: "external dependency loaded successfully." #Docker #Python #SoftwareDevelopment #DevOps #Pip #Automation #BackendEngineering

Today I faced a real issue while building a Docker image — and learned something important from it. Problem: While building the image, I got an error: “You must give at least one requirement to install” Root Cause: I was running "pip install" without specifying any requirements or missing the "requirements.txt" file in the Dockerfile. Solution: - Added a proper "requirements.txt" file - Updated Dockerfile with: "RUN pip install --no-cache-dir -r requirements.txt" - Rebuilt the image successfully Key Learning: Small mistakes in Dockerfiles can break the entire build process. Understanding error messages is a crucial DevOps skill. Tools Used: Docker | Python | Flask Every bug I solve makes me stronger 💪 #DevOps #Docker #Debugging #Python #javafullstack

Day 6 of my 90 Days DRF Challenge 🚀 Today I learned how to use Mixins in Django REST Framework to simplify CRUD operations like create, update, delete, and list. I built APIs using these mixins and tested them on Postman to ensure everything worked smoothly. Mixins make API development faster, cleaner, and more reusable a powerful tool for real-world product building. #Django #DRF #Mixins #Python #API #Postman #LearningJourney #90DaysChallenge

Write code that doesn't break in production...! When building end-to-end pipelines, reading data from GitHub or external URLs is common. But relying on a "happy path" is a mistake. For robust development, always implement: Logging: To track the flow and capture specific error details. Exception Handling: To prevent the entire app from crashing and get clear "Unable to load" alerts. It’s a simple habit, but it’s what separates a beginner from a Pro Developer. #Python #MLOps #CleanCode #SoftwareEngineering #DataScience #CodingTips

CI/CD has improves code quality - and GitHub Actions makes it easier than ever to get started. I just built my first CI/CD pipeline with GitHub Actions! Check out my documentation for the step-by-step process 👇 ✅ Created a Python project with pytest tests ✅ Set up GitHub Actions workflow ✅ Configured automated testing on every push ✅ Watched my first green build pass Huge thanks to @NextWork for this awesome project guide. https://lnkd.in/gqvEJrP9 #CICD #GitHubActions #Python #DevOps #NextWork

🚀 launched Docker Cleanup Pro - an open-source tool that solves a problem every developer faces! The Problem: Docker fills up disk space fast, and `docker system prune` is too aggressive. The Solution: Smart cleanup that: ✅ Keeps your recent image versions (configurable) ✅ Removes old containers intelligently   ✅ Cleans dangling volumes safely ✅ Shows exactly what was removed & space saved Built with Python, fully tested, and production-ready! 📦 PyPI: pip install docker-cleanup-pro 🔗 GitHub: https://lnkd.in/dm9Mc7rK 🌐 Professional services: https://lnkd.in/dbJ3sY4k #Python #Docker #DevOps #OpenSource #Developers

As a #Python developer, there’s a lot more beyond writing code i.e. Isolation -> packaging -> publishing -> distribution. Still using PYTHONPATH and sys.path and calling it a package…? Is virtual environments your only packaging strategy…? Still zipping files and calling it distribution…? You are not alone — most of us have been there. #Python #PythonPackaging #PyPI #PreCommit #DevOps #SoftwareEngineering #CodeQuality #Docker #CI #CD #Ruff #uv

🧠 A system that watches itself… and fixes itself. In this demo, the system continuously monitors its own state. When a service stops, it doesn’t wait for manual intervention. It detects the issue and automatically restores it. No clicks. No commands. Just a feedback loop: observe → decide → act. This is a simple prototype, but it reflects a bigger idea: Systems shouldn’t just report problems — they should handle them. #Automation #DevOps #SelfHealing #Python #Ansible #radwan_so