Introducing Claude Agents Plugin for Claude Code

𝗧𝗵𝗲 𝗗𝗕 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻 𝗹𝗲𝗮𝗸𝗲𝗱 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. 𝗧𝗵𝗲 𝗳𝗶𝗹𝗲 𝗵𝗮𝗻𝗱𝗹𝗲 𝘀𝘁𝗮𝘆𝗲𝗱 𝗼𝗽𝗲𝗻. 𝗧𝗵𝗲 𝗿𝗼𝘄 𝗹𝗼𝗰𝗸 𝗵𝘂𝗻𝗴 𝗶𝗻𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗲𝗹𝘆. These aren't edge cases—they are the inevitable result of making resource cleanup the caller's responsibility. In Python, 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿𝘀 move that responsibility from the developer to the type itself. The resource becomes self-healing. 🔹 __exit__ is called even if an exception is raised—that is the safety guarantee. 🔹 @contextmanager lets you write the same protocol with 'yield'—no class needed. 🔹 Any resource with an acquire/release lifecycle belongs in a context manager. The 𝘸𝘪𝘵𝘩 statement isn't just syntactic sugar—it’s a contract. The caller writes business logic; the object handles the cleanup. #Python #SoftwareEngineering #BackendDevelopment #SoftwareArchitecture #CleanCode

Real-world APIs often break Python naming conventions, forcing awkward compromises between code quality and external integration requirements. You want to maintain clean Pythonic code and avoid incidental complexity. But you also need to handle camelCase, kebab-case, and other non-Pythonic field naming for third-party integrations. Unfortunately, most teams end up with messy field mapping or abandoned code standards because traditional approaches force you to choose between code quality and integration functionality. Here's where Pydantic's alias system transforms your integration architecture: use Field(alias='externalName') for clean external mapping while preserving perfect Python naming internally. Result: More maintainable Python code + seamless API integration #Python #Pydantic

𝗨𝗡𝗟𝗘𝗔𝗦𝗛𝗜𝗡𝗚 𝗧𝗛𝗘 𝗨𝗟𝗧𝗜𝗠𝗔𝗧𝗘 𝗣𝗬𝗧𝗛𝗢𝗡 𝗣𝗢𝗪𝗘𝗥𝗛𝗢𝗨𝗦𝗘: 𝗧𝗛𝗘 𝗦𝗘𝗖𝗥𝗘𝗧 𝗧𝗢 𝗕𝗨𝗜𝗟𝗗𝗜𝗡𝗚 𝗟𝗜𝗚𝗛𝗧𝗡𝗜𝗡𝗚 𝗙𝗔𝗦𝗧 𝗔𝗣𝗜𝗦 𝗥𝗘𝗩𝗘𝗔𝗟𝗘𝗗 As we head into 2026, building scalable microservices requires a rock-solid understanding of how your code is organized from the first line. This guide demystifies the structural foundations of FastAPI to ensure your backend remains maintainable as your codebase grows. THE FASTAPI INSTANCE The core of every application begins with initializing the FastAPI class. This instance acts as the central router and configuration hub, serving as the bridge between your incoming HTTP requests and your internal application logic. Understanding how to instantiate this object correctly is the first step toward managing middleware, dependencies, and route decorators effectively. ROUTING AND PATH OPERATIONS Path operations are the fundamental building blocks of your API. By using decorators linked to your FastAPI instance, you define how the server responds to specific HTTP methods like GET or POST. This video breaks down how these functions map directly to URL paths, allowing for clean, readable code that handles client communication without unnecessary complexity. PARAMETER HANDLING AND TYPE HINTS FastAPI leverages Python type hints to perform automatic data validation and documentation. By defining expected types for path parameters, query parameters, and request bodies, you enable the framework to enforce data integrity before your logic even executes. This approach significantly reduces the surface area for bugs while providing built-in Swagger UI documentation for your endpoints. As a Senior Engineer, I cannot overstate that the structure of your application in 2026 is just as important as the logic inside it. FastAPI enforces good habits early by requiring explicit type definitions and clear route mapping, which saves hundreds of hours in debugging and refactoring down the line. Treat your project structure as your primary documentation. Tags: #FastAPI #Python #API #BackendDevelopment 📺 Watch the full breakdown here: https://lnkd.in/d7YeSp75

I wrote a CLI tool to help your teams catch "slop" code before it creates a mountain of tech debt. Runs for any python projects 3.10 -> 3.13. Drop it in your CI/CD pipelines to act as a last linter for AI specific slop patterns like vague comments, util functions, and more. Check it out! https://lnkd.in/e5xNUwH2 https://lnkd.in/eT6psfZS

Manual data extraction from websites does not scale. Web scraping automates text collection for competitive analysis, price monitoring, and content aggregation. Eugenijus Denisov, Lead Backend Developer at IPRoyal, covers Python libraries, selectors, best practices, and how to handle dynamic content reliably: https://lnkd.in/dd2mTeBe

Can you make your first PI Web API request in under 10 minutes? Challenge accepted. 🚀 Reading documentation is slow. Writing code is fast. That’s why we built the PISharp "Start Here" Guide—to get you straight into the action without the usual configuration headaches. In this 10-minute guide, you will: ✅ Verify Connectivity: Instantly confirm if your server is reachable (No more 404 mysteries). ✅ The Path Strategy: Learn the most reliable way to find PI Points (Better than basic search). ✅ Master WebIDs: Understand the 'Primary Key' that powers every single API interaction. ✅ Read Live Data: Fetch snapshot and historical values like a pro. This tutorial is for developers who want to stop "experimenting" and start building production-ready integrations. 🛠️ 👉 Take the Challenge here: [https://lnkd.in/dUVZdB4g] #PISharp #PISystem #PIWebAPI #Python #CodingChallenge #IndustrialIoT #DataEngineering

In under 10h since claude code source leak we got: A full training website with architecture and details: https://lnkd.in/dhMi_QNP  ❗ A complete rewrite of claude code in python ‼️ : https://lnkd.in/dcYPK4-k Almost-complete (still work in progress) rewrite in rust: https://lnkd.in/dnd5kX4e Multiple analysis: https://lnkd.in/d-TMc67H   Multiple identified hidden and unreleased features. Most of that was made with claude itself or other agentic tools like OMX (oh-my-codex, oh-my-pi, oh-my-claude). We can also expect security audits and probably exploits. The pace is absolutely insane but we probably should get used to it. Times has changed.

I just published a compact guide on Medium diving into the 5 Design Patterns every Python architect needs. We're moving past simple scripts and into scalable architecture. What's inside: ✅ Singleton: Managing global state without the mess. ✅ Factory: Decoupling creation from business logic. ✅ Observer: The backbone of event-driven systems. ✅ Protocols: Clean, type-safe Pythonic interfaces. ✅ Strategy: The ultimate cure for "If-Else" spaghetti. If you’re aiming for that Senior title or just want to write more maintainable code, this is for you. #Python #SoftwareArchitecture #Coding #SeniorDeveloper #DesignPatterns #Programming #TechLead

- Excited to share my latest project: Library Books Management API - GitHub Repository: https://lnkd.in/gWY3DJFB - Project Highlights:- 1.Built using FastAPI 2.CRUD operations for managing books 📚 3.Tested APIs using Swagger UI 4.Clean and structured backend implementation - This project helped me strengthen my understanding of API development and backend architecture. Special thanks to @Innomatics Research Labs for guidance and support #FastAPI #Python #APIs #LearningJourney #Innomatics #GitHubProjects #Innomatics-advanced-GenAI-Internship

Topic 3/100 🚀 🧠 Topic 3 — Context Managers Ever forgotten to close a file or database connection? 😅 That’s where this concept saves you. 👉 What is it? Context Managers allow you to manage resources automatically using the with statement. 👉 Use Case: Used in real-world applications for: File handling Database connections Managing locks in concurrent systems 👉 Why it’s Helpful: Prevents memory leaks Automatically cleans up resources Makes code cleaner and safer 💻 Example: with open("file.txt", "w") as f: f.write("Hello, World!") 🧠 What’s happening here? Python automatically opens the file and ensures it gets closed after the block executes — even if an error occurs. ⚡ Pro Tip: Always use context managers when working with external resources — it’s a best practice in production code. 💬 Follow this series for more Topics #Python #BackendDevelopment #100TopicOfCode #SoftwareEngineering #LearnInPublic