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Cursor vs. Windsurf vs. GitHub Copilot
In this blog, we’ll compare three top AI coding assistants in 2025—Cursor, Windsurf, and GitHub Copilot. You’ll learn how each tool performs in real-world coding scenarios, from multi-file editing and debugging to UI development and DevOps. We break down their key features, pricing, IDE integration, and best use cases to help you choose the best AI programming tool for your needs. Whether you’re a beginner or a pro, this guide will help you decide between Cursor vs. Windsurf vs. Copilot for a faster, smarter coding workflow.
Shaheryaar Kamal
Jul 7 · 2025
Cursor vs. Windsurf
This blog dives into a hands-on comparison of Cursor and Windsurf, two modern AI coding tools, by using each to build the same small project.
Fareeha Idrees
Jul 4 · 2025
Can you become a prompt engineer without learning coding?
You don’t need to know coding to become a prompt engineer, but it depends on your career goals. Non-technical roles focus on writing clear, structured prompts for content and UX. Technical roles involve coding with APIs, LLM tools, and AI workflows. This guide breaks down both paths, the skills required, and how to grow based on your background and aspirations.
Khayyam Hashmi
Jul 2 · 2025
Finding the best prompt engineering course for developers
Prompt engineering is key to building effective AI tools, and the best prompt engineering course teaches structured, scalable skills. This guide reviews what to look for, including LLM mechanics, prompt styles, tools like LangChain, and recommends top options for developers, product managers, and analysts.
Areeba Haider
Jul 2 · 2025
What are the common challenges in implementing RAG?
Retrieval-augmented generation (RAG) is one of the most popular architectural patterns in modern LLM applications. It promises better factual grounding, reduced hallucinations, and dynamic knowledge integration. But like any pattern that looks simple on paper, there’s a great deal of complexity hiding under the hood. This blog breaks down the most common RAG challenges developers face in real-world implementations and how to navigate them like a pro.
Zach Milkis
Jul 1 · 2025
What benefits does LangChain offer to developers?
LangChain empowers developers to move beyond simple LLM prompts and build modular, production-ready AI apps. With features like memory, tool integration, RAG support, and agent workflows, it simplifies prototyping and scales to complex use cases. Whether you're creating chatbots or research tools, LangChain makes AI development faster, cleaner, and more flexible.
Sumit Mehrotra
Jun 30 · 2025
12 real-world LangChain usecases
LangChain enables developers to build powerful LLM applications across real-world scenarios, from chatbots with memory and private document Q&A to research bots, legal summarization, and workflow automation. This guide explores 12 LangChain usecases that demonstrate how developers can move beyond basic prompts into production-ready systems.
Mishayl Hanan
Jun 30 · 2025
What are entry-level prompt engineer jobs? A beginner’s guide
Prompt engineering is a fast-growing GenAI role, and you don’t need deep ML chops to break in. This guide shows where entry-level jobs hide, like under titles like AI Content Specialist or LLM Ops Associate, what daily work looks like, and which skills matter most: clear writing, structured thinking, and relentless testing. Discover hiring sectors, smart search tactics, and how to craft a portfolio that proves you can talk to models.
Areeba Haider
Jun 30 · 2025
Top 5 Best Generative AI Courses
Everyone wants to build with generative AI, but figuring out where to start? That’s where most developers get stuck. The field moves fast, and many tutorials are either too shallow, outdated, or assume you’ve already trained a transformer from scratch. This blog highlights the best generative AI courses for developers who want to build real tools, apps, and agents.
Khayyam Hashmi
Jun 30 · 2025