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AI Summary: A practical, high-signal guide to building IDE-native coding agents with strong observability and control.
AI Summary: A practical, high-signal guide to building IDE-native coding agents with strong observability and control.
This blog explores how to build a custom coding agent using Deep Agents and the Agent Client Protocol (ACP). It addresses the fragmentation between IDE workflows and agent-based tooling, proposing a tightly integrated developer experience. The article walks through architecture, middleware design, and human-in-the-loop controls for safe execution. It also demonstrates how observability and planning primitives improve agent reliability. Overall, it provides a concrete blueprint for production-grade developer agents.
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