Category: Programming
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How I Use Cursor AI to Ship Faster: A Web Developer’s Playbook for 2026
Cursor is the first editor I’ve used that consistently feels like a teammate instead of a tool. Between rapid inline suggestions, an embedded chat that actually understands my codebase, and agents that can run tasks in the background, it helps me move from “idea” to “shipped” with fewer context switches. What’s new and why it…
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Server‑Sent Events (SSE): the simplest real‑time you’re not using
If you need live updates in the browser without the complexity of full‑duplex protocols, Server‑Sent Events (SSE) are a beautifully simple fit. As a Python-leaning engineer, I love SSE because it rides on plain HTTP, integrates cleanly with existing backends, and is ridiculously easy to consume from JavaScript and TypeScript. What SSE is (and how…
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Angular 21: The Modern Transformation Every Developer Should Know About
If you’ve been waiting for a reason to give Angular another look, Angular 21 is the game-changing upgrade developers have been hoping for. With its official release in November 2025, Angular 21 is not just an incremental bump—it’s a fundamental transformation that brings the framework squarely into the modern era. Let’s break down the biggest…
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Collaborative Coding with AI Agents: Strengthening Team Workflows
AI coding agents are rapidly transforming solo development, but their benefits are even more pronounced in collaborative environments. In this article, we’ll explore practical strategies for teams to leverage AI agents, from code review assistance to enhanced documentation and streamlined handoffs. AI-Powered Code Review Assistance Traditional code reviews can be a bottleneck, especially in distributed…
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Prompt Engineering for AI Coding Agents: Best Practices and Pitfalls
As AI coding agents become ubiquitous tools in modern software development, the way developers interact with them is undergoing a quiet revolution. No longer are we simply writing code—now, we craft prompts: concise, context-rich instructions that steer AI agents toward our desired outcomes. In this article, I’ll share best practices and common pitfalls for prompt…
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Demystifying Python’s logging Module: Effortless Logging for Every Project
If you’ve ever built a Python application and peppered it with print() statements to track what’s happening, you’re not alone. While print() can help in a pinch, Python’s standard logging module offers a far more robust, flexible, and professional approach to monitoring what your programs are up to. Whether you’re developing a quick script or…
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Exploring Python’s Context Managers: Elegant Resource Management with `with`
As Python developers, we frequently work with resources like files, network connections, and database sessions—resources that need proper setup and teardown. Forgetting to release resources can lead to subtle bugs or even major application failures. Enter one of Python’s most elegant solutions: context managers and the with statement. What are Context Managers? A context manager…
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Top 5 Common Pitfalls When Using Angular Signals—and How to Avoid Them
Angular Signals are a hot topic in the Angular ecosystem, promising more granular reactive change detection and increased performance. However, as with any new pattern, integrating Signals into real-world applications comes with its own set of challenges. In this article, we’ll walk through five of the most common mistakes developers encounter when working with Angular…
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Unlocking the Power of Python’s `concurrent.futures`: Effortless Multithreading and Multiprocessing
Python developers often face tasks that can benefit from running code in parallel—whether that’s making multiple web requests, processing large datasets, or leveraging modern multi-core CPUs. Traditionally, handling parallelism in Python meant dealing with the low-level and sometimes unwieldy threading and multiprocessing modules. Enter concurrent.futures: a high-level module that makes concurrent programming in Python simple,…
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Integrating AI Coding Agents into Continuous Integration Pipelines
Introduction With the rise of AI coding agents like Claude Code and OpenAI Codex CLI, developers are no longer limited to traditional tools for writing, reviewing, and testing code. One of the most promising frontiers is the integration of these agents directly into continuous integration (CI) pipelines. This article explores the benefits, challenges, and practical…