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Serverless Computing Guide for Beginners Serverless computing is a cloud-native execution model in which developers write and deploy code without ever touching an underlying server. In this guide you will learn what makes serverless unique, why it matters, and how it is reshaping modern application delivery. Understanding the Core Principles Serverless is built on several […]

Introduction Large-language-model assistants can already write boilerplate, propose refactors, and even spot hidden bugs. Yet they remain only as effective as the codebase they are asked to reason about. By structuring files coherently and commenting with intent, you supply the model with a miniature knowledge-base that radically improves the quality, safety and speed of AI-generated

Introduction When artificial intelligence systems drive medical diagnostics, manage power grids, or safeguard financial transactions, a single unnoticed error can cascade into severe real-world consequences. While state-of-the-art algorithms excel at recognizing patterns, their efficacy is ultimately bounded by the quality of the knowledge that humans embed into them. In this article we explore why human

Generative AI has dazzled the world with its ability to answer almost any question, yet teams that build software quickly discover a limitation: large, general-purpose models do not always understand the domain-specific constraints of a production database, a highly opinionated design system, or a corporate API style guide. To truly accelerate delivery, you need purpose-built

Introduction Large Language Models (LLMs) such as GPT-4 and Claude can draft code, devise marketing campaigns, or even simulate customer conversations. Yet the quality of what they produce hinges on the human prompts that guide them. This has led to the rise of the AI prompt engineer — a professional who blends linguistics, domain expertise and

Introduction Cyber-attack surfaces are expanding faster than any human security team can track. To keep pace, organizations are increasingly turning to artificial intelligence (AI) to identify, prioritize and autonomously neutralize threats before they can inflict damage. In this article we examine how AI techniques—ranging from deep-learning malware classifiers to self-learning network sensors—are reshaping defensive strategy

Introduction Peer code review—the practice of having fellow developers examine each other’s work before it reaches the main branch—has become a cornerstone of modern software engineering. Beyond simply finding mistakes, structured reviews foster collaboration, spread domain expertise, and create a sustainable quality culture. This article explores how you can harness these advantages in your own

When teams embrace Jira for agile project tracking, the next logical step is to bring testing workflows under the same roof. Two market-leading add-ons—Xray and Zephyr—promise full-fledged test management without leaving the Atlassian ecosystem. But which plug-in is the strongest match for your backlog, your release cadence, and your budget? This article breaks down the

Continuous Integration (CI) and Continuous Delivery (CD) are foundational practices in modern software development that streamline the process of integrating code changes and deploying applications. CI involves automatically building and testing code every time a team member commits changes to version control, ensuring that new code integrates smoothly with the existing codebase. CD extends this

Becoming an exceptional developer requires moving beyond functional coding to embrace practices that elevate both your work and team. Key habits include writing clean, maintainable code and cultivating continuous learning to drive innovation. This article explores how these disciplines transform competent developers into standout professionals who shape the future of technology. Prioritizing Code Quality and