Ever wondered if AI could actually feel when you're stuck debugging at 3 AM?
There's this open-source AI agent called Goose that's getting attention lately. It's built as a reference implementation for the Model Context Protocol (MCP) - basically a framework that helps AI tools understand your coding environment better.
What makes it interesting? Instead of just spitting out generic code snippets, it's designed to pick up on context clues. When your commit messages get shorter or you're refactoring the same function for the fifth time, patterns emerge.
The protocol approach is clever too. Rather than another closed ecosystem, MCP creates a standard way for different AI tools to share context. Could be a game-changer for how we interact with coding assistants.
Still early days, but worth keeping an eye on if you're into dev tooling.
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Ever wondered if AI could actually feel when you're stuck debugging at 3 AM?
There's this open-source AI agent called Goose that's getting attention lately. It's built as a reference implementation for the Model Context Protocol (MCP) - basically a framework that helps AI tools understand your coding environment better.
What makes it interesting? Instead of just spitting out generic code snippets, it's designed to pick up on context clues. When your commit messages get shorter or you're refactoring the same function for the fifth time, patterns emerge.
The protocol approach is clever too. Rather than another closed ecosystem, MCP creates a standard way for different AI tools to share context. Could be a game-changer for how we interact with coding assistants.
Still early days, but worth keeping an eye on if you're into dev tooling.