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Experimenting with AI models to develop a custom watch face for a PineTime smartwatch

🔄 Updated 1h ago
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Key points

  • AI models were used to create a custom watch face for a PineTime smartwatch.
  • The process involved Claude and open-weight models like Kimi K3 and DeepSeek v4 Pro.
  • The AI generated a rough approximation of the desired watch face.
  • Manual iteration was needed to refine the AI-generated code.

AI-Assisted Smartwatch Development

An individual experimented with using AI models to develop a custom watch face for a PineTime smartwatch. The PineTime is an open-source, low-cost device, making it suitable for such hacking projects. The inspiration came from observing others using AI for ESP32 device development.

Utilizing Various AI Models

While initially referring to Claude, the developer primarily used OpenCode with open-weight models such as Kimi K3, K2.6, DeepSeek v4 Pro, and DeepSeek Flash. The process began by asking the AI to build the InfiniSim repository on Ubuntu, which was completed quickly.

Generating a Custom Watch Face

The developer provided the AI with an image of a desired watch face and an existing InfiniTime watch face code as a starting point. The AI was instructed to replicate the design and orchestrate sub-agents for specific development tasks. The AI produced a rough approximation of the watch face, though it had issues with text sizing and positioning.

Iterative Refinement Process

The initial AI output required manual intervention for refinement. The developer provided specific feedback and isolated tasks to correct elements like text placement and sizing. This iterative approach was chosen to conserve computational resources and tokens, indicating that while AI can provide a starting point, human oversight remains crucial for achieving pixel-perfect results in such projects.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

An individual used AI models, including Claude and open-weight models like Kimi K3 and DeepSeek v4 Pro, to generate code for a custom watch face on a $27 PineTime smartwatch. This demonstrates the potential of AI agents in assisting with embedded device development, even if initial outputs require refinement.