Developer shares 10 practical tips for running multiple AI coding agents efficiently

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A software developer has outlined a multi-agent AI coding workflow after switching away from GitHub Copilot following a pricing change. Instead of relying on a single expensive tool, the developer splits their budget across Claude Code, Cursor, Antigravity, and OpenCode, assigning each a specialized role such as planning, orchestrating, or pushing code. A shared task markdown file acts as a coordination layer, allowing agents to hand off work seamlessly even when switching providers mid-task. The developer recommends using a portable AGENTS.md file for rules and conventions so that migrating between tools requires minimal effort. Additional tips include using general-purpose models for non-coding tasks and designing a code reviewer persona with a critical tone to keep feedback engaging and harder to ignore.

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