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Source channel @githubtrending · Post #15180 · Sep 29

#other You can use a set of markdown files to guide AI coding assistants step-by-step in building software features. This method breaks down your feature idea into a clear Product Requirement Document (PRD), then into detailed tasks, and finally lets the AI work on each task one at a time while you review and approve progress. This structured workflow helps you keep control, avoid errors, and track progress visually, making AI-assisted development more reliable and manageable. It works with many AI tools and improves the quality and clarity of AI-generated code, saving you time and reducing frustration during complex feature development. https://github.com/snarktank/ai-dev-tasks

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@githubtrending · Post #15520 · 02/24/2026, 02:30 PM

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#python#ai#ai_scraping#automation#crawler#crawling#crawling_python#data#data_extraction#mcp#mcp_server#playwright#python#scraping#selectors#stealth#web_scraper#web_scraping#web_scraping_python#webscraping#xpath Scrapling is a fast Python web scraping tool that fetches pages, bypasses anti-bot blocks like Cloudflare, and adapts to site changes by auto-finding elements. Use simple CSS/XPath selectors, spiders for big crawls with pause/resume, proxy rotation, and CLI—no code needed sometimes. Install via pip; it's memory-light and beats others in speed. You save time fixing broken scrapers, scrape reliably at scale, cut costs with AI tools, and focus on using data for leads, prices, or research. https://github.com/D4Vinci/Scrapling