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I Let Kimi K3 Manage 4 AI Agents to Build an Entire App In 12 Hours

Edward DonnerEdward Donner·22,032 views·Jul 23, 2026

Score and analysis

6.0
VIDSCORE

Summary

Edward Donner demonstrates how Kimi K3 managed a team of AI agents, including GLM 5.2, MiniMax M3, MiMo 2.5, and DeepSeek V4 Pro, to build a 24,000-line personal knowledge management system in 12 hours.He details the setup using OpenCode and a Docker dev container, showcasing the collaborative process and the final application's features.The project cost just under $24, offering Fable-level performance at a lower price point.Donner also addresses minor interruptions and provides a final walkthrough, including a dark mode option.

Breakdown

Edward Donner maintains an enthusiastic and encouraging tone throughout the video, effectively explaining the complex AI agent coordination.His narrative style keeps the viewer invested in the project's progress and outcome.
The tutorial covers the entire process from initial requirements to the final app demonstration, including the cost breakdown and a look at the defects file.Edward Donner shows the completed personal knowledge management system and its features.
Edward Donner explains the process of using Kimi K3 to manage AI agents for app development.He details the roles of various sub-agents like GLM 5. 2 and MiniMax M3, and how they collaborate, providing a clear, albeit conversational, walkthrough.
Edward Donner presents the video with clear visuals and audio, allowing viewers to follow along with the AI agent demonstrations.The production quality is functional and does not detract from the tutorial's content.
The video demonstrates a complete app build using multiple AI agents, suggesting a high likelihood of success for viewers following the outlined methodology.Edward Donner addresses potential issues like the build getting stuck and provides context on the total cost and time involved.

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Edward Donner
Edward Donner
Chief Technology Officer · Lecturer · Coder

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