4 articles on AI agents.
Your assistant is excellent at code it has never seen and unreliable about code you wrote yourself. The cause is structural: the distance between the way you asked and the form the tool can compute over.
What the Model Context Protocol actually is, why it turns an N×M integration problem into N+M, and the question to ask a vendor that 'we support MCP' does not answer.
An LLM can generate code, but most of what it 'knows' about your product stays implicit — hidden in weights, scattered across prompts, buried in code, stored in someone's head. GitMir turns that hidden context into an explicit, living graph so AI agents build against the system, not isolated prompts.
NVIDIA's Spark and the AI PC signal a shift: AI agents are moving onto the machine — always-on, local, next to your code. Why that makes architectural visibility non-negotiable.
