I made Claude Code, Codex, and Antigravity work together on one project instead of competing

The reported experience highlights a shift in strategy for using AI coding tools, moving from a competitive comparison to a collaborative workflow. The developer found that no single large language model (LLM) excels at all tasks, noting specific strengths and weaknesses across tools like Codex for technical solidity and Claude Design or Google's Argon 4 for frontend user interface work.

By combining these agents, developers can leverage individual tool specializations to compensate for each other's shortcomings. This integrated approach also offers practical benefits, such as circumventing usage limits imposed by a single tool and enabling parallel execution of different tasks across multiple agents, which can accelerate development on larger projects.

Initially, managing a multi-agent workflow was described as complex, requiring manual tracking across several terminal windows. However, the developer discovered Orca, an open-source Agent Development Environment (ADE), which facilitated running and managing multiple AI coding agents from a single interface, simplifying the orchestration of diverse tools.