MonkeyCode review: building a B2B dashboard

Learn how MonkeyCode handles browser-based app development, dashboard revisions and gallery publishing, with a discussion of self-hosting.

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This review follows a MonkeyCode development task: building a B2B project management dashboard for a digital agency. The requested app covers clients, projects, tasks, deadlines and budgets, with project pages and business statistics. The speaker describes MonkeyCode as an open source AI development platform that users can access through a browser or deploy on their own infrastructure.

The demonstrated workflow uses a cloud development environment. According to the speaker, the server handles building, testing and previews while the user gives instructions and reviews the project files. After the first version, the walkthrough describes further requests for revenue analytics, team workload information, better project filtering and responsive mobile support. The emphasis is on revising the existing project through an AI agent rather than accepting its first output.

The speaker names Qwen, GLM, GPT models and DeepSeek as supported model options. A brief comparison with Cursor, Claude Code and Codex focuses on workflow: MonkeyCode combines development tasks with requirements management and team collaboration. This is a conceptual comparison, without matched performance tests.

The review also discusses a self-hosted option for organizations that want control over their development environment and data. It does not provide installation steps or hardware requirements. The final section describes publishing the completed dashboard to MonkeyCode's AI.Gallery from the task interface.