Show HN: AgentBridge – Let one AI think while another AI writes the code (github.com)

AgentBridge has been launched as a novel tool designed to enhance the synergy between AI reasoning and code execution by allowing one AI to handle project strategy while another executes the coding tasks. By leveraging the Model Context Protocol (MCP), AgentBridge connects web-based AIs—with robust reasoning capabilities like Gemini or Claude—to local coding agents, such as OpenCode. This separation of concerns helps to improve the efficiency of AI coding workflows, as the reasoning AI can focus on planning and problem analysis without depleting the execution agent’s usage quota on exploratory tasks. This tool is significant for the AI and machine learning community as it acknowledges the diverse strengths of different AIs while promoting a compositional approach to coding. Key features include a structured task protocol, secure workspace access, and the ability for the reasoning AI to review changes without directly modifying the codebase. The architecture allows for easy integration of additional coding agents in the future, paving the way for more sophisticated AI-enhanced development environments that can optimize resource usage, reduce costs, and enhance productivity in software development.