@seclink: Advice: Beginners should not abuse viber coding. Mixing Chinese and overseas large models, viber coding — I've stepped on all the development pitfalls: 1. Timezone issues: Chinese large models use Beijing time, US models use US time... 2. Error code type confusion...

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Summary

A developer shares various development pitfalls encountered when mixing Chinese and overseas large models for viber coding, including timezone, data types, database design, security vulnerabilities, etc., advising beginners to use it with caution.

Advice: Beginners should not abuse viber coding. Mixing Chinese and overseas large models, viber coding — I've stepped on all the development pitfalls: 1. Timezone issues: Chinese large models use Beijing time, US models use US time... 2. Error code: Is it int or str? Can't tell clearly. 3. Soft delete: Is it actually deleted or just flagged as 'is_deleted' = true? 4. Status codes (500, 400, ...) are scattered all over the project... 5. Database slow query settings, N+1 problem not considered... 6. SMS verification code and real-name authentication anti-brute force measures not considered... 7. State machine: 8 states now, 10 states the next day, then 7 states the day after... 8. Variables with the same business meaning are written with different function names or different variable names. 9. Function names that are written but not used. 10. Not using ORM, but bare SQL, leading to primary key auto-increment issues. 11. Database uses JsonB, causing difficulties in data querying and retrieval. 12. Highly severe horizontal privilege escalation vulnerabilities and vertical privilege escalation vulnerabilities are rampant... ...
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Cached at: 06/03/26, 03:42 AM

Suggestion: Beginners should not abuse vibe coding.

Mixing Chinese and overseas large models with vibe coding, I’ve stepped on all the R&D pitfalls:

  1. Timezone issues – Chinese large models follow Beijing time, while overseas models follow US time…
  2. Error code type – Is it an int or a str? Hard to tell.
  3. Soft delete – Is it actually deleted, or just flagged as is_deleted = true?
  4. Status codes (500, 400…) – Scattered all over the project with no consistency.
  5. Database slow query settings – N+1 problem not considered.
  6. SMS verification codes & real-name authentication – No brute-force prevention in place.
  7. State machine – One day it has 8 states, the next day 10, then back to 7…
  8. Same business meaning, different function names or variable names – Inconsistent naming.
  9. Functions written but never used.
  10. Not using ORM, raw SQL instead – Leads to auto-increment primary key issues.
  11. Database design with JsonB – Causes difficulties in data querying and retrieval.
  12. Critical and severe horizontal privilege escalation & vertical privilege escalation vulnerabilities – Widespread.

…

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