Vibe coding: how LanChess wrote 100,000 lines in 3 months
LanChess is a rare, honest case study of what happens after vibe coding. The service's author built a production chess analytics product in under three months: 3,300 prompts, 832 commits and 100,000 lines of AI-written code. But the main takeaway is not about speed. It is that what comes next is personal data, authorization, infrastructure and ongoing support.
AI-processed from Habr AI; edited by Hamidun News
LanChess has become a clear case study in vibe coding: how an AI prototype turns into a real production service with users, a backend and legal constraints.
How do you build a production service with AI in 3 months?
The LanChess case shows that using an AI assistant for vibe coding (3,300 prompts, 832 commits) produced 100,000 lines of code. But the key point is that real engineering was still needed (backend, legal frameworks), along with solutions to problems that a single request to a model will not solve.
How did
LanChess manage to write 100,000 lines of code in 3 months? The author used vibe coding with 3,300 prompts, which resulted in 832 commits and let him quickly turn a prototype into a full production service.
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Key Questions Answered
How do you build a production service with AI in 3 months?
The LanChess case shows that using an AI assistant for vibe coding (3,300 prompts, 832 commits) produced 100,000 lines of code. But the key point is that real engineering was still needed (backend, legal frameworks), along with solutions to problems that a single request to a model will not solve.
How did LanChess manage to write 100,000 lines of code in 3 months?
The author used vibe coding with 3,300 prompts, which resulted in 832 commits and let him quickly turn a prototype into a full production service.
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