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Jev was released only a few days ago, and there is already a huge hype around it.
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Back in May 2025, I wrote about LLMs generating UIs during a conversation.
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An MCP tool can pass normal tests and still fail when an agent tries to use it.
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Today I built a small tool called sign-ai-media.
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Yesterday, I helped a friend install Antigravity, Google’s AI coding tool that everybody knows.
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Back in May, I wrote about the limitations of text-only AI interactions and my vision for on-demand UI generation.
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You know that feeling when you’re about to make your private repo public and you realize half your commits say things like “fix stuff”, “asdfasdf”, or “WIP”?
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Remember when Google announced the Agent2Agent (A2A) protocol back in April 2025?
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Note: This is an example blog post demonstrating how to use prompts.chat/developers#embed embed features for interactive AI-powered tutorials.
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Have you ever wanted to share an AI prompt in your blog post, but found that code blocks just don’t capture the interactive nature of AI conversations?
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As I’ve discussed in my previous articles, the Model Context Protocol (MCP) goes far beyond simple tool invocation.