Getting the Most Out of Multi-Agent AI

Tips for choosing between Claude, Codex, and Gemini for different tasks.

TaskLing gives you access to multiple AI agents, each with distinct strengths. Knowing when to use each one can make a real difference in the quality and speed of your results.

Claude: The Reasoning Specialist

Claude is your best choice for tasks that require deep understanding of existing codebases, complex refactoring, or nuanced decision-making. If an issue involves architectural changes, migrating between frameworks, or writing code that needs to carefully respect existing patterns, Claude consistently delivers thoughtful, well-structured results.

Codex: The Implementation Workhorse

For straightforward feature implementation, bug fixes with clear reproduction steps, or generating boilerplate code, Codex is fast and reliable. It excels at tasks where the requirements are well-defined and the solution path is relatively direct.

Gemini: The Versatile Generalist

Gemini brings strong multi-modal capabilities and broad knowledge. It is particularly useful for tasks that involve documentation, API integration work, or scenarios where you need the agent to interpret diverse input formats alongside code.

How to Pick Per Issue

In your workflow settings you set a default agent and an allow-list of agents TaskLing may use. The default handles every eligible issue unless you override it. To send a specific ticket to a different agent, add a HARNESS:claude, HARNESS:codex, or HARNESS:gemini label in Linear and TaskLing will route just that issue accordingly. The choice always stays with you -- TaskLing does not pick agents for you or learn from past results.

The best agent is the one that matches your task. Let the work dictate the tool.

Ready to try multi-agent AI development? Check out our plans and get started today.