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  Web scraping is the process of collecting information from websites automatically. A normal scraper usually extracts raw text, HTML elements, or the full page content. But when you are building AI agents or large language model (LLM) applications, sending the entire webpage to the model is not always the best approach. A better…

  #  Small But Powerful   Running a 70B model in production can be expensive, slow, and, for many tasks, unnecessary. If you're building a focused pipeline like a document classifier or a multilingual support responder, a well-trained 3B model will match or beat the 70B on your specific task at a fraction of the…

Sponsored Content         The Biggest Challenge Teams Face With AI Today—and the Platform That Solves It   This is how the vast majority of teams currently use AI applications: one member subscribes to ChatGPT, another trusts Claude; the software developer uses an entirely different code editor, some marketer spends money on…

  #  Introduction   On April 17, 2026, Anthropic launched Claude Design. That same day, Figma's stock dropped roughly 7%, and Figma's own board member Mike Krieger stepped down just three days before the announcement — a coincidence in timing that market watchers noticed immediately. That's a real reaction from real investors, and it says…

★ Editor's Pick — Most Read Article This Week 🖥️ Top 5 MCP Servers for High Performance Agentic Development Nahla Davies  ·  Programming  ·  July 20, 2026 The Model Context Protocol standardizes agent tooling, enabling interoperability across platforms for tasks ranging from code execution to web interaction. High-performance agent development requires integrating specialized…

  #  Introduction   Most people's Claude Code setup never gets past day one. They run the installer, log in, type a prompt, get something useful back, and never touch a config file again. Weeks later, sessions start losing track of earlier decisions, the same permission prompt shows up fifty times a day, and every…

  #  Introduction   Every Python codebase has this problem. A function that starts small. Two branches, maybe three. Then someone adds a case, someone else adds another, and a year later you've got 200 lines of if/elif/else that nobody wants to touch. Here's an example: def get_model(name): if name == "logreg": …

  #  Inroduction   This article is part of my noob series where we write about the questions people Google most but may not understand well because of complex math and everything. So, if you are here, you might have heard fine-tuning somewhere in the context of large language models (LLMs) especially. This concept already…

  #  Introduction   You want to add Claude to a Python application. Creating an account and making your first API call is straightforward. The official documentation can get you from zero to a working request in a few minutes. The next questions are usually more practical: What does the response object contain? How do…

  #  Introducing MCP   Every developer building with local AI hits the same wall eventually. The model works. It reasons well, writes solid code, and answers complex questions. But it cannot do everything. It cannot query your database, open a GitHub issue, or call your internal API. You are left writing custom Python wrappers…