As we move deeper into the era of AI-native development, the “chat box” is quickly becoming the floor, not the ceiling. As a heavy user of Cursor, I’ve spent the last year thinking about how to move from simple prompt-response cycles to true agentic workflows. The core of this evolution lies in how we manage […]
Read More →If you’ve been building with LLMs over the last year, you’ve likely hit the “Agent Wall.” You build a cool agent, give it a massive system prompt, and it works… until it doesn’t. As you add more capabilities, the context window gets bloated, the agent gets confused, and porting that logic to another platform (like […]
Read More →Cursor IDE blends familiar editor workflows with AI-native tooling so you can move from idea to implementation without leaving your context. This post is a hands-on guide focused on effective, repeatable habits rather than one-off tricks. Why Cursor Feels Different Cursor is not just “AI inside an editor.” It is an editor that treats AI […]
Read More →Large Language Models (LLMs) all predict text, but they differ a lot in how they follow instructions, use context, handle tools, and optimize for safety, speed, or cost. If you treat them as interchangeable, you’ll ship brittle prompts. If you treat them as different runtimes with different affordances, you’ll get reliable results. This post explains the major differences across […]
Read More →A practical guide for software engineers navigating the evolving landscape of Large Language Models Introduction: Why This Matters As a developer in 2025, you’re likely interacting with Large Language Models (LLMs) daily—whether through coding assistants, chat interfaces, or integrated APIs. But here’s the thing: not all LLMs are created equal, and the way you communicate with […]
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