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AI Coding in Production

Real setups, mistakes and opinions from shipping production code with AI agents like Claude Code, Cursor and Codex.

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MGX: This AI Dev Team Outshines Cursor & Lovable

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How does MGX’s multi agent team new approach completely change development with mixture of experts unlike current single agent tools.

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MGX Team collaboration & collective thinking in development

Lovable & Cursor have made giant leaps in automating our specific flows of development, the issue is they only address one area of software.

That’s where MGX (MetaGPT X) comes in, an alternative that is defining what AI assistants can achieve.

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Why is MGX different?

Current tools focus on one area of development, typically the engineering.

MGX offers a team approach managing the entire development lifecycle.

Once it’s done managing the full stack process, it helps guide projects like an AI team.

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Full-stack workflow

The key difference is the team based architecture. These mixture of experts mimic the giant leap we saw in LLM’s, this was only a matter of time.

Instead of a solo developer building an app, it mimics the roles within a startup. Like the mixture of experts, it allows MGX to tackle complex projects.

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Alex Dunlop
Alex Dunlop

Written by Alex Dunlop

Senior AI engineer. I break Claude Code and agentic tooling in production, then write about it. 10 years building. Kiwi in Sydney.

AI Coding in Production
AI Coding in Production

Published in AI Coding in Production

Real setups, mistakes and opinions from shipping production code with AI agents like Claude Code, Cursor and Codex.