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Event File AI Agentic AI AI Investment Vibe Coding

Chinese University Student’s Vibe-Coded AI Project Secures NT$130 Million Investment from Shanda Group

1 reports · First detected 2026-03-11 · Last active 2026-03-11

“Vibe Coding” is a development approach that uses natural-language instructions to direct AI in writing code, lowering the barrier to software creation. A Chinese university student used the method to build BettaFish, a public-opinion analysis project that quickly attracted attention from the open-source community. Its rise also shows how individual developers can use generative AI to rival the development speed of traditional teams.

BettaFish was built in just 10 days and subsequently topped GitHub’s trending chart. Shanda Group founder Chen Tianqiao then invested RMB 30 million, equivalent to about NT$130 million–NT$150 million. The project was later upgraded into an AI simulation sandbox called MiroFish, adding multi-agent scenario-rehearsal capabilities. Available information did not disclose the exact date the investment was announced.

All Coverage

1 original reports
BLOCKTEMPO.COM 2026-03-11
中國大學生靠 Vibe Coding 寫出「BettaFish」！10 天登上 GitHub 榜首、拿下 1.5 億元投資

The Backstory

The history behind this event
Entrepreneur Shares Practical Framework for Using Vibe Coding and AI Agents in Cryptofirst seen 2026-02-27 · 1 reports · similarity 0.73 · same topic: Vibe Coding

Vibe Coding uses natural-language prompts to enlist AI in writing, debugging and iterating code. Combined with AI agents that can execute tasks autonomously, the approach is being adopted for Web3 tools. It can lower the development barrier for products such as arbitrage bots and data aggregators, but crypto entrepreneurs must still assess competitors, data sources, trading risks and system architecture before launch.

The latest post presents “five golden opportunities” for applying Vibe Coding and AI agents to products including cryptocurrency arbitrage tools and on-chain data aggregation platforms. It identifies competitor analysis and technical architecture planning as the starting points for development. The author predicts that AI will become an indispensable productivity tool for Web3 development in 2026. The original article did not disclose the author’s affiliation, the amount invested or the exact publication date.

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