title: "Vibe Coding: Myths vs Facts"
date: 2026-04-17
readingTime: 6 min read
tags: ["AI", "Development", "Opinion"]
The term "vibe coding" has taken over tech Twitter, LinkedIn, and every Slack channel where developers gather. Some swear it's the future. Others think it's the death of software craftsmanship. The truth, as always, is somewhere in between.
After 16 years of writing code and a few months of heavily using AI assistants, here's my take.
Vibe coding is when you describe what you want in plain language, the AI generates code, you review and iterate, and you ship something that works. The "vibe" is in the description — you're communicating intent, not syntax.
// Traditional: Write every line
function processPayroll(employees: Employee[]): PayrollResult[] {
return employees.map(emp => {
const gross = calculateGross(emp);
const deductions = calculateDeductions(emp, gross);
const net = gross - deductions;
return { employeeId: emp.id, gross, deductions, net };
});
}
// Vibe coding: Describe the outcome
// "process payroll for array of employees, calculate gross,
// deductions, and net pay, return array of results"
The key distinction: you're still the engineer. The AI is a very fast typist with a perfect memory.
False. If you can't read the code, you can't review it. If you can't debug it, you'll be helpless when it breaks at 2 AM. AI generates plausible-looking garbage regularly — especially for domain-specific logic.
I've seen AI produce:
You need domain knowledge more than ever. The difference is you're applying it during review, not writing.
Not yet. Vibe coding amplifies experienced developers far more than it helps juniors. A junior using AI to generate code is like giving a toddler a chainsaw — they can cut things, but they don't know what could go wrong.
Experienced developers:
Partially true, but not the problem you think. AI tends to produce generic, "best practice" code. This is sometimes exactly what you want (boilerplate, standard patterns). It's rarely what you want for core business logic.
The code might look like everyone else's AI-generated code, but the architecture decisions, domain models, and business rules are still uniquely yours.
Dangerous myth. AI-generated code has no test coverage unless you explicitly ask for it. And asking for tests that "look right" isn't the same as tests that actually verify behavior.
// AI generated this...
function calculateNetPay(gross: number, deductions: number): number {
return gross - deductions;
}
// Looks correct. But what about:
// - Negative inputs?
// - Deductions exceeding gross?
// - Floating point precision?
// - Currency rounding rules?
// Without tests, you're shipping assumptions as facts.
Scaffolding, CRUD operations, API boilerplate, test setup — AI is genuinely faster and less error-prone than writing this by hand. I use it daily for:
This is the low-risk, high-reward zone of vibe coding.
The most valuable skills are shifting:
| Previously Valued | Now Valued | |-------------------|------------| | Memorizing syntax | Understanding architecture | | Writing boilerplate | Writing prompts | | Knowing every API | Knowing what to ask for | | Coding speed | Review speed | | Implementation skills | Debugging skills |
Your ability to evaluate code becomes more important than your ability to write it.
Ask an AI to build a payroll system and watch it struggle with:
This isn't the AI's fault. It's showing you where domain expertise lives. The code is only as good as the requirements.
With more code being generated, the bottleneck shifts to review. You need:
Review is where expertise matters most.
A good engineer using AI becomes dramatically more productive. A careless engineer using AI ships dramatically more bugs, faster.
The tool doesn't make you better. It makes you more of what you already are.
After months of experimentation:
1. Boilerplate & Scaffolding — Yes, always
2. Test Generation — Yes, but I verify edge cases
3. Exploration & Prototyping — Yes, rapid iteration
4. Documentation — Yes, especially code comments
5. Complex Business Logic — Careful review required
6. Security-Critical Code — Extra scrutiny, always
7. Performance Optimization — Expert guidance, not replacement
Vibe coding isn't replacing engineers. It's replacing mediocre engineering habits — the verbose boilerplate, the copy-paste patterns, the manual documentation that consumed time without adding value.
What it can't replace:
The engineers who thrive will be those who use AI as a lever to amplify their expertise, not a crutch to avoid developing it.
Vibe coding is real, it's useful, and it's not going away. But the narrative that it eliminates the need for engineering skill is hype. The developers who understand both the power and the limitations will find it transformative. The ones who treat it as magic will eventually face the consequences.
Ship the vibe. But know what you're shipping.
What's your take on vibe coding? Drop your thoughts on Twitter or open an issue on GitHub.