Vibe coding: risks and practices for developers

Vibe Coding: Prototyping Tool or Production Threat? A Technical Breakdown

76% of Russian developers have tested vibe coding — an approach where LLMs generate code based on task descriptions in natural language. Market data shows 64% reported positive effects, 16% built working products, and MVP prototyping accelerates 3–5 times. However, 22% saw no productivity gains due to prompt issues.

Vibe coding, a term coined by Andrej Karpathy, allows creating a CRUD app in 40 seconds: a prompt like "CRUD for users with JWT validation, PostgreSQL, Express.js, middleware for 401/403" outputs a working skeleton. This speeds up boilerplate tasks but fails on architecture and edge cases.

Production Risks: From Hallucinations to Slopsquatting

LLMs generate code with risks critical for senior developers:

• Hallucinations: Inventing non-existent libraries. Slopsquatting — an attack where hackers register such packages on npm with malicious code. npm install fake-lib from an AI response = backdoor in production.
• Security holes: Lack of authorization, input validation, config leaks. Code is optimized for "works," not "secure."
• Scalability: 80% of simple tasks are covered, but 20% (architecture, load, DB indexes, cache) require manual rework.

With 500 users, everything flies; with 50k — crashes without queues and optimizations.

Production Transition Checklist

Move away from pure vibe coding if:

• >100 active users.
• Storing PII or payments.
• >10k lines of code.
• Bugs require a debugger.
• Prompts break modules.
• Time iterating prompts > time saved.

Architecture review is mandatory: an engineer checks dependencies, validation, modularity.

Hybrid Approach: Vibe Engineering

Vibe engineering — AI for boilerplate, human for critical parts:

• AI generates the skeleton.
• Engineer sets architecture (microservices, queues).
• AI writes tests, migrations.
• Code review for every PR.
• Manual load testing.

Google: 30% of code from AI, all through review. Productivity x2 by focusing on architecture.

Senior Skills in 2026: Managing AI

The market values:

• Prompt engineering: task decomposition with stack, edge cases.
• AI code review: hallucinations, security, optimizations.
• Architecture: systems for long-term.
• Business-tech translation: why refactoring after MVP.

Vibe coding will replace boilerplate, not thinking.

Key takeaways:

• Vibe coding speeds up MVP 3–5x, but not production.
• Slopsquatting and security holes are key risks.
• Hybrid vibe engineering: AI + review = optimal speed.
• Senior skills: prompt engineering + architecture.
• Transition by checklist: at >100 users — refactor.

Practice for Developers

Master:

• Cursor AI, Copilot for IDE.
• Prompts with stack: React + Supabase + Vercel.
• Review: dependencies, auth, validation.
• Architecture: microservices, Redis cache, Kafka queues.
• Business explanation: MVP as spec for prod.

For mobile: prototypes yes, App Store — no (battery, guidelines). Refactoring cost = development from scratch. Use vibe code as spec.

— Editorial Team