Most scrapers break the moment a site changes. That's because they're fragile — built on brittle selectors and static logic. What if your scraper could read a page like a human and heal itself? My new guide shows exactly how to build that: → Playwright for headless browser control → LLMs for dynamic extraction logic → Self-healing pipelines that adapt to DOM changes This is the 2026 standard for production-grade data extraction. Read it 👇 #Python #WebScraping #Playwright #LLMs #DataEngineering
Build Self-Healing Web Scrapers with Playwright and LLMs
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💡 Claude Tip #2: Use "Artifacts" for Complex Code Did you know Claude can create interactive code snippets, visualizations, and full applications directly in Artifacts? Instead of pasting code in the chat: ✅ Ask Claude to create a React component, Python script, or HTML page ✅ Use "Show in artifacts" to render and test it live ✅ Iterate without cluttering your conversation Try this: "Create an interactive to-do list in React" and watch Claude generate a fully functional app you can run instantly. This alone will save you hours of copy-pasting and debugging. 🚀 What's your favorite Claude feature? Drop it below! 👇 #Claude #AI #ProductivityHacks #Development
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📝 Why I deliberately write "boring" code: Fancy code is impressive. Boring code is reliable. What boring code looks like: ✅ Clear variable names (customer_count not cc) ✅ Small functions that do one thing ✅ Comments that explain WHY, not WHAT ✅ Consistent formatting ✅ Error handling for edge cases Who benefits? → Future me (6 months from now, I won't remember) → My teammates (they can actually read it) → Production (less surprises at 2 AM) Clever code makes you feel smart. Boring code makes you effective. Which do you prefer to maintain? #CodeQuality #Python #DataEngineering #CleanCode
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pip works. But it’s showing its age. You need: virtualenv pip sometimes pip-tools Multiple tools → slower workflow Now compare that with uv: One tool Faster installs Built-in environment management Same job. Different experience. #Python #BackendDevelopment #DeveloperTools #uv #pip #SoftwareEngineering #BuildInPublic
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New blog post! Live Life on the Edge: A Layered Strategy for Testing Data Models This post is about a three-layer testing pattern for complex software systems I've landed on in python: structural coverage with Polyfactory, value-level probing with Hypothesis, cross-field invariants with icontract. Includes a practical example, an honest tradeoffs section, and a note on what schema-first design and consumer-driven contract testing solve instead. Link in comments. #Python #SoftwareTesting #SoftwareArchitecture #Pydantic #PropertyBasedTesting
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From where I sit, the stack debates are the least interesting thing happening right now. The builders I watch shipping real things are using whatever gets them there. n8n. Make. Google Apps Script. React. Python. Whatever answers the question fastest. The magic is never the framework. It's knowing what to build in the first place. #BuildInPublic #Automation
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Haven't posted in a while and decided to post this small project that might help someone. I usually like having something running in the background while I’m coding or drawing diagrams , but most apps I tried were either too heavy or just not what I wanted. So I wrote a small Python script where you can drop in your own GIF and it just sits there on your screen. No window borders, no distractions, doesn’t get in the way, and barely uses any memory. It’s nothing crazy, just a simple aesthetic thing, but I’ve been using it a lot more than I expected. If anyone wants to try it or tweak it, I left the repo below. https://lnkd.in/dWFuTPH5
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Two months in, and FlameIQ is starting to find its place. FlameIQ is an open-source, CI-native performance regression engine for Python — built to make performance a first-class signal in your pipeline, not an afterthought. In that time, the focus has stayed simple: • Catch regressions before they reach production • Make performance checks enforceable in CI • Keep everything deterministic and reproducible FlameIQ also supports statistical significance testing (Mann-Whitney U) and generates self-contained HTML reports for easy inspection. If you're already treating correctness and tests as non-negotiable, performance should sit right alongside them. 📦 pip install flameiq-core 🔗 https://lnkd.in/d-2KcKFd 🔗 https://lnkd.in/d6e2D7mq 🔗 https://lnkd.in/d2VDWRQa Always open to feedback and contributions. #Python #OpenSource #Performance #DevTools #CI #SoftwareEngineering
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Two months of FlameIQ in the wild 🔥 What we’re seeing is clear: teams don’t want more dashboards — they want performance checks that actually block regressions before code ships. That’s exactly where FlameIQ fits 👇 👇 ⚡ CI-native performance regression detection 📉 Catch latency issues before production 📊 Built-in statistical validation (Mann-Whitney U) 📄 Clean, self-contained HTML reports Performance isn’t something to “monitor later” — it belongs in your CI pipeline. FlameIQ is built for that shift.
Two months in, and FlameIQ is starting to find its place. FlameIQ is an open-source, CI-native performance regression engine for Python — built to make performance a first-class signal in your pipeline, not an afterthought. In that time, the focus has stayed simple: • Catch regressions before they reach production • Make performance checks enforceable in CI • Keep everything deterministic and reproducible FlameIQ also supports statistical significance testing (Mann-Whitney U) and generates self-contained HTML reports for easy inspection. If you're already treating correctness and tests as non-negotiable, performance should sit right alongside them. 📦 pip install flameiq-core 🔗 https://lnkd.in/d-2KcKFd 🔗 https://lnkd.in/d6e2D7mq 🔗 https://lnkd.in/d2VDWRQa Always open to feedback and contributions. #Python #OpenSource #Performance #DevTools #CI #SoftwareEngineering
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🚀 Day 5/30 – Tic Tac Toe Game using Python 🎮🐍 Day 5 of my 30 Days Python Challenge, and today I built a fun + interactive mini game that every beginner loves 💡✨ I created a Tic Tac Toe Game using Python, where users can play in a clean GUI interface with automatic win detection, turn switching, and result display 🎯❌⭕ This project helped me understand how logic building and GUI development come together to create real-world interactive applications 💻🔥 What I focused on today: ✨ Building the game interface using Tkinter ✨ Handling player turns dynamically ✨ Implementing win and draw logic ✨ Creating an interactive 3x3 game board ✨ Displaying the winner instantly This challenge is helping me improve my Python logic-building, problem-solving, and project development skills every single day 🚀 👉 Would love your feedback! 👉 What should I build next with AI + Python? 👀 Day 6 coming tomorrow 🔥 #Python #AI #PythonProjects #Tkinter #CodingChallenge #BuildInPublic #MachineLearning #GameDevelopment
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🚀 I'm excited to share my latest project, Guardian_PDF, an audit-first PDF Q&A system that combines the performance of C++ with modern AI integrity verification using Python, JavaScript, CSS, and HTML. I built Guardian_PDF to address the need for a high-performance, security-focused PDF tool that verifies PDF integrity before AI processing and detects AI-generated content. Check it out at https://lnkd.in/g4vfnGeq and let me know what you think! #AIforSecurity #PDFprocessing #AuditFirst #PythonDevelopment #JavaScript #ArtificialIntelligence
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Read it 👇 https://hassanali.site/blog/ai-powered-web-scraping-combining-playwright-llms-and-python-for-structured-data