Playwright TypeScript vs Python in 2026 Automation Reality

🚀✨ 𝐄𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐒𝐡𝐚𝐫𝐞 𝐌𝐲 𝐋𝐚𝐭𝐞𝐬𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭! 𝐈’𝐯𝐞 𝐛𝐮𝐢𝐥𝐭 𝐚 𝐁𝐚𝐢𝐫𝐚𝐧 𝐒𝐨𝐧𝐠 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐑𝐞𝐞𝐥 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐨𝐫 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 🎬 Now you can simply upload a 6-second video clip, and the system automatically transforms it into a cinematic, Bairan-style edited reel 🎥⚡ ⚙️ How it works: Upload your clip ➝ Processed by system ➝ Instantly generated stylish reel 💫 🛠 Tech Stack: 🐍 Python (Backend video processing) ⚛️ React (Frontend UI) 🔥 Flask + Media automation pipeline 💡 Key Highlights: ✨ Fully automated reel generation ⚡ Fast & seamless processing 🎬 No manual editing needed 🚀 End-to-end full-stack integration 📚 What I learned: 💻 Video processing using Python 🌐 Full-stack development (React + Flask) 🤖 Building automation-based creative tools 🔗 GitHub Links: Backend: https://lnkd.in/ddDyUUYC Frontend: https://lnkd.in/d_m7EZcp 🙏 Open for feedback, suggestions, and improvements! #Python #ReactJS #Flask #FullStackDevelopment #VideoProcessing #Automation #AI #WebDevelopment #ProjectShowcase #CodingLife 🚀🔥

🚀 Discovering the Power of StreamingHttpResponse in Django Recently, I was working on a feature where I needed to deliver live text responses — something like a chatbot or real-time output streaming. At first, I was thinking about different approaches (polling, background jobs, etc.), but they didn’t feel efficient enough for real-time experience. Then I got StreamingHttpResponse in Django… and honestly, it felt amazing! 🤯 Instead of waiting for the full response to be ready, it allows you to: ✅ Send data chunk by chunk ✅ Deliver responses in real-time ✅ Improve user experience significantly This is especially useful for: Chat applications 🤖 AI/LLM responses Large data processing outputs Live logs or event streaming 🔧 Simple idea: You create a generator function and yield data continuously — Django streams it directly to the client. This small discovery changed how I think about handling real-time responses in backend systems. Sometimes, the best solutions are already built-in — we just need to explore more. 💡 #Django #Python #BackendDevelopment #WebDevelopment #Streaming #RealTime #DeveloperJourney

I built a Self‑Healing CI Agent for Playwright (Python) + Pytest on GitHub Actions. When Playwright Tests fails on main, an Autofix workflow automatically: pulls the GitHub Actions logs + JUnit report captures extra debugging context (DOM snapshot, screenshot, Playwright trace) asks Gemini for a minimal, anchored fix plan (safe + explainable) applies the patch on a new branch re-runs the same Playwright pipeline opens a Pull Request only if the validation run passes This turns the usual “red build → manual debugging” loop into: Detect → Diagnose → Fix → Validate → PR If you work with UI automation, flaky selectors, timing issues, or just want faster MTTR in CI, this pattern is a practical blueprint you can copy. Comment “AUTOFIX” and I’ll share the repo + setup steps. YouTube - https://lnkd.in/gP4TuKnh #Playwright #Pytest #GitHubActions #CICD #TestAutomation #QAEngineering #SDET #DevOps #SoftwareEngineering #AI #LLM #GenerativeAI #Gemini #Python #Automation #EngineeringLeadership #QualityEngineering #ShiftLeftTesting

I used to spend hours on TypeScript type-level programming — advanced generics and inference tasks. Then I tried vibe coding — letting AI handle the scaffolding while I focused on design. Result: 3x faster prototyping, same code quality. The workflow: 1. Describe the architecture in plain English 2. AI generates the boilerplate 3. I review, refactor, and optimize 4. Ship in days instead of weeks The developers who will thrive in the next 5 years aren't the ones who type the fastest. They're the ones who think the clearest. Have you tried AI-assisted development? What was your experience? #WebDevelopment #TypeScript #Frontend #JavaScript

Evolution of an Automation Engineer: From Python Expertise to Playwright JS 🔄 In my 4 years as an Automation Engineer, I’ve learned that the best tool is the one that solves the problem most efficiently. While Python has been my primary language for building robust frameworks, I am now expanding my toolkit with JavaScript and Playwright. Transitioning between languages is a great way to sharpen your logic. Here’s a quick comparison of how I handle string reversal—a common task in data validation—in both stacks: Python (The Elegant Way): name = "nishant" reversed_name = name[::-1] # Simple Slicing JavaScript (The Logic-Driven Way): let name = "nishant"; let reversed = name.split("").reverse().join(""); // Chain Methods Why this matters? As a Senior QA, my goal isn't just to write scripts; it's to ensure quality across different environments. Whether it’s a complex backend validation in Python or a high-speed UI test in Playwright JS, the focus remains on Performance, Readability, and Scalability #QAAutomation #Python #Javascript #Playwright #SoftwareTesting #CareerGrowth

Launching a focused training on Python Foundations + Playwright Automation 🚀 Designed for developers & QA engineers who want to build strong programming basics and apply them to real-world web automation. What you’ll learn: Python fundamentals (syntax, OOP, file handling) Clean coding and reusable design Playwright automation (locators, waits, assertions) Real-world UI + API automation workflows Scalable test framework design Outcome: Write clean Python code and build reliable, production-ready automation solutions. Hands-on, practical, and customizable for teams. #Python #Playwright #AutomationTesting #QA #TestAutomation #WebAutomation #Learning

Automation = more human time Automation isn’t about replacing people — it’s about removing boring, repetitive work so humans can focus on creativity and strategy. I use Python + Playwright to automate web tasks and free up hours every week for higher-value work. If your team still does manual browser checks, start small and measure the time you get back. Hashtags: #Automation #Python #Playwright #Productivity Truly yours Bot.

📌 A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows In this tutorial, we build the entire Agentic UI stack from the ground up using plain Python, without relying on external frameworks to abstract away the core ideas. We implement the AG-UI event stream to make agent behavior observable in real time, and we bring in A2UI as a declarative layer that allows interfaces to […] The post A Coding Deep Dive into Agentic UI, Generative UI, State Sync 🔗 https://lnkd.in/dcJm-TCG #AI #Tech #MarkTechPost

Behind every line of JavaScript code, there’s an invisible engine managing memory, scope, and function calls — that engine is the Execution Context. Understanding this concept changed the way I debug code, write cleaner functions, and truly grasp how JavaScript works under the hood. 🚀 If you want to master hoisting, closures, scope chain, call stack, and this keyword, start here. Strong fundamentals always outperform shortcuts. 💡 #JavaScript #ExecutionContext #WebDevelopment #FrontendDeveloper #Programming #Coding #SoftwareEngineer #DeveloperLife #TechLearning #LearnToCode #100DaysOfCode #JavaScriptDeveloper #CodingJourney #SoftwareDevelopment #Debugging #AI #ArtificialIntelligence #GenerativeAI #OpenAI #TechTrends #FutureOfWork #Innovation

Most flaky tests are not a tooling problem. They are a thinking problem. In my experience with Python + Pytest + Playwright, flaky tests usually come from: * Over-reliance on hard waits (sleep) * Weak selectors (CSS that breaks with minor UI changes) * Ignoring async behavior of modern apps One small change that improved my tests massively: 👉 Replacing fixed waits with Playwright’s auto-waiting & proper assertions Example mindset shift: ❌ “Wait 5 seconds and then click” ✅ “Wait until element is visible and actionable” Also started treating tests like production code: * Clean structure * Reusable fixtures * Proper logging Result? Less debugging. More trust in automation. Curious — what’s the #1 reason your tests fail randomly? #SoftwareTesting #AutomationTesting #Playwright #Python #AI #connections #connectingexpats