We recently tested a full build using multiple AI agents in one workflow—and the results were fascinating.
Here’s how the work was distributed:
Claude Code to reason through business logic
Cursor for inline suggestions and cleanup
Cline in VS Code to scaffold logic and components
Windsurf for version control and GitHub integration
The result? We didn’t write the code—we prompted it into existence.
What Worked:
Clear separation of tasks per agent
Lower context-switching for the team
Faster turnaround time
Prompting as the new dev interface
What Needed Work:
Prompt overlap between tools
Ensuring consistency across agent responses
We’ve started formalizing this into our MCP approach—structured logic + prompt libraries + coordinated output. It’s already changing how we think about developer productivity.
If you’ve tried working with multiple AI tools at once, we’d love to hear how you managed context, consistency, and collaboration.
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