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Cursor vs. GitHub Copilot
Curious which AI coding tool fits your workflow? In this hands-on review, I compare Cursor vs. GitHub Copilot by building a personal budget tracker. See how Cursor’s AI-powered IDE with deep project context compares to Copilot’s lightning-fast code suggestions inside VS Code. Discover their strengths in code generation, debugging, refactoring, and real-world coding productivity.
Whether you’re a beginner or an experienced developer, this detailed side-by-side analysis will help you choose the best AI code assistant for your needs.
Shaheryaar Kamal
Sep 11 · 2025
A founder’s guide to AI agents
This blog breaks down exactly how autonomous AI agents work, what makes them different from simple chatbots, and why startup founders should care. You’ll learn how agents can handle research, outreach, admin, and other repetitive tasks so you can focus on strategy and growth. It also covers where these tools shine, where they still fall short and the best frameworks to experiment with.
Zammad Khan
Sep 11 · 2025
The impact of agentic AI on software engineering roles
Agentic AI is reshaping software engineering by automating routine coding tasks and freeing developers to focus on design, strategy, and problem-solving.
Asmat Batool
Sep 10 · 2025
A detailed OpenAI's Codex tutorial
Discover the power of asynchronous AI development with OpenAI Codex. Learn how this cloud-based agent can fix bugs, write tests, and accelerate your workflow, all within the ChatGPT ecosystem.
Kamran Lodhi
Sep 10 · 2025
Gemini Code Assist
Learn how to use Gemini Code Assist, a powerful AI tool for developers, to boost productivity with real-time code suggestions, advanced debugging, and seamless Google Cloud integration. Explore key features, compare them with other AI assistants like GitHub Copilot and Claude, and get started with hands-on examples.
Ali Suleman
Jul 15 · 2025
Cursor vs. Windsurf: Complete Breakdown for Software Developers
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