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Developer builds two Telegram bots using Qwen3.8-Max, finds it efficient and cost-effective

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A developer built two demo Telegram bots powered by Qwen3.8-Max to handle real-world business tasks: one for booking car repair appointments and another for calculating kitchen furniture pricing. Both bots were written in Go and developed using the AI-assisted IDE Kodik by ArchiTech AI. The entire development process consumed approximately 12.8 million tokens across around 400 API requests to the Qwen3.8-Max model. In a comparative test, DeepSeek V4 Flash Latest required over 15 million tokens to achieve similar results, highlighting Qwen3.8-Max's relative efficiency. The developer noted that the model worked largely autonomously throughout the engineering process, requiring only one or two corrective prompts for code style and business logic adjustments.

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Developer builds two Telegram bots using Qwen3.8-Max, finds it efficient and cost-effective · ShortSingh