If you’ve ever tried to train a machine learning model or just wondered why your computer fans start screaming when you open too many Chrome tabs, you’ve probably run into the alphabet soup of processors: CPU, GPU, and TPU. They all “process” things, but they do it in ways that are fundamentally different. Choosing the […]
Read More →If you use both Cursor and Claude Dev/Code, you’ve probably noticed they both want their own configuration folders (.cursor and .claude). Keeping your custom commands, rules, and skills in sync between them usually means a lot of copying and pasting. Here is a simple way to centralize everything in one .agents folder and use symlinks to keep both tools […]
Read More →I’ve spent the last few months living in Claude Code. If you’re wondering if it’s worth the hype, the answer is yes—but probably not for the reasons you think. It isn’t just a better autocomplete. It’s more like a competent pair programmer that actually reads your whole codebase, runs your terminal commands, and never needs […]
Read More →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 […]
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