@sitinme: AI coding tools are finally becoming interoperable. Previously, Claude Code, Codex, Cursor, and Gemini CLI each operated in their own silos—choosing a tool essentially locked you into that client. Now with ACP (Agent Client Protocol), it's somewhat like AI...

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Summary

The ACP (Agent Client Protocol) unifies the communication method between editors and AI agents, enabling AI coding tools like Claude Code, Codex, Cursor, and Gemini CLI to work together collaboratively, marking the transition of AI programming from standalone tools to an interconnected workflow phase.

AI coding tools are finally becoming interoperable. Previously, Claude Code, Codex, Cursor, and Gemini CLI each operated in their own silos—choosing a tool essentially locked you into that client. Now with ACP (Agent Client Protocol), it's somewhat like the LSP for the AI coding era: it standardizes communication between editors and AI agents. In the future, you could theoretically use Claude Code inside Zed, run Gemini CLI within VS Code, or have different agents collaborate—one writing code, one reviewing, one running tests. In simple terms, ACP addresses: How an editor connects to an agent. MCP addresses: How an agent connects to external tools and data. This means AI coding tools are moving from "standalone tools" into the "agent-interconnected workflow" phase.
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Cached at: 05/22/26, 09:58 PM

AI programming tools are finally starting to interoperate.

Previously, Claude Code, Codex, Cursor, and Gemini CLI each operated independently—using one tool essentially locked you into that client.

Now there’s ACP (Agent Client Protocol), which is somewhat like LSP for the AI coding era: it unifies the communication method between editors and AI Agents.

In the future, in theory, you could use Claude Code inside Zed, run Gemini CLI inside VS Code, and have different Agents collaborate—one writing code, one reviewing, one running tests.

Simply put, ACP solves:

How the editor connects to the Agent.

MCP solves:

How the Agent connects to external tools and data.

This means AI programming tools are transitioning from “single-point tools” into the “Agent-interconnected workflow” phase.

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