Why 52% of Meituan’s New Code Is AI‑Generated – What It Means for Developers

52% AI code, what does it mean?

On May 26, Meituan CEO Wang Xing announced that 52% of the new code written at Meituan was generated by AI, based on their proprietary large model “LongCat”. The AI handles repetitive, boiler‑plate tasks such as login modules, scaffolding, and simple CRUD, while core business logic and complex architecture still require human engineers.

Programmers’ “crisis” and “opportunity”

The statistic does not mean AI is stealing jobs; it acts like a “smart intern” that can produce large amounts of code quickly but still needs supervision. AI often understands syntax but not intent, leading to multiple revisions, and it can increase technical debt by copying patterns.

Practical advice

Let AI do the dirty work – use it for scaffolding, format conversion, and simple components, freeing you to focus on high‑value tasks.

Guard core logic yourself – keep responsibility for business rules, data models, and architecture.

Treat AI like an intern – give clear prompts, monitor its output, and review the generated code carefully.

Conclusion

AI development is accelerating, but developers must stay grounded. Writing code is more than typing; it involves understanding requirements, designing solutions, and collaborating. AI can boost efficiency, yet product quality and user satisfaction still depend on human creativity and judgment.