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Richard Batt |

Vibe Coding: Should You Build Your Own Business App With AI?

Tags: AI Tools, Automation

Vibe Coding: Should You Build Your Own Business App With AI?

Vibe coding is the newest way to build software. You describe what you want, feed it to Claude or GPT-4, and iterate until it works. Spotify pays developers not to code. Checkr empowers non-technical staff to build internal tools. GitClear research shows 9x code duplication in vibe-coded systems.

So which is it: the future of business applications, or a maintenance nightmare in waiting?

The answer depends on what you're building and how you're thinking about longevity.

Key Takeaways

  • Vibe coding works for internal dashboards, prototypes, and single-use tools. It's terrible for anything customer-facing or at scale.
  • The hidden cost is technical debt. You save time upfront and pay it back in maintenance, security, and rewrites.
  • From 120+ projects, I've built a framework to decide when vibe coding makes sense and when a developer is the right investment.
  • The real question isn't "Can I build this with AI?" It's "Do I want to maintain this for the next three years?"

What Vibe Coding Actually Is

Vibe coding means you write natural language prompts. Claude or GPT-4 generates code. You iterate until it works. No computer science degree required. No deployment pipeline. No version control headaches.

It works because modern language models understand code and code context well enough to generate working solutions for straightforward problems. A prompt like "Build me a dashboard that pulls customer data from Airtable and shows revenue by date" can produce working code in minutes.

The cost: that code is often 9x more repetitive than code a developer would write. It has security gaps. It doesn't scale. It's hard to modify later.

Practitioner Insight: Where I've Seen This Fail

One of my clients, a SaaS founder, decided to vibe-code an internal tool for customer support routing. The first version worked. Three months later, he needed to add a new routing rule. The codebase had grown to 2,000 lines with repeated logic blocks. Adding one feature required modifying five different places. He rewrote it. Cost: $8K and two months of dev time.

Another example: a non-profit vibe-coded a donor database. It worked for 50 donors. At 500 donors, queries slowed to 20 seconds. The AI-generated code had no indexes. Again, rebuild required.

The pattern: vibe coding is fast until it isn't. Then you pay for the speed with either rewrite cost or technical debt.

When Vibe Coding Actually Makes Sense

Internal dashboards (low risk, one-off use): Build a dashboard to track this month's metrics. Vibe-code it. Use it for 30 days. Delete it. No debt accumulates because you're not maintaining it.

Prototypes (testing an idea): Want to test a workflow before hiring someone to build it properly? Vibe-code a prototype. Learn. Decide whether to build the real thing. This is exactly what vibe coding is good for.

Temporary scripts (time-limited problems): You need to process a one-time data migration. Vibe-code the script. Run it. Archive it. Done.

Single-person internal tools (self-maintained): You're the only person using this tool. You maintain it. You accept the technical debt as a tradeoff for speed. Fair deal.

When Vibe Coding Fails

Customer-facing products: Your customers depend on this. Security matters. Performance matters. Reliability matters. Vibe-coded software fails at all three. Don't do this.

Multi-person systems (team needs to understand the code): If multiple people need to modify or maintain this, vibe-coded code is a nightmare. High repetition, no patterns, inconsistent style, poor documentation. Team velocity drops. Use a developer.

Systems that will scale (more users, more data, more complexity): Vibe coding doesn't scale. Your dashboard works at 100 rows. At 100,000 rows, it crawls. The code wasn't architected for scale. Rebuilding required.

Anything touching sensitive data (payments, health, PII): Security requirements are non-negotiable. Vibe-coded systems are security nightmares. Gaps in auth, no audit logging, no rate limiting. Use a developer or a specialized platform.

Systems that will live longer than 12 months: If you'll still be maintaining this in 2027, vibe coding becomes expensive. Technical debt compounds.

The Decision Framework

Ask yourself these questions in order:

1. How long will this live? One-time use or prototype? Vibe code. Permanent system? Use a developer.

2. Who maintains it? Just you? Vibe coding acceptable. Multiple people? Hire a developer.

3. What's the cost of downtime? Internal dashboard goes down for an hour? No big deal. Customer-facing system? Unacceptable. Use a developer.

4. How sensitive is the data? Internal metrics? Acceptable security risk. Payments or personal data? Not acceptable. Use a developer.

5. Will this grow? Fixed feature set, fixed data size? Vibe coding okay. Expecting growth? Use a developer from the start.

If more than two questions point toward "developer required," hire a developer. The upfront cost is real ($3-8K for a small tool). The long-term cost of vibe-coded technical debt is larger.

The Economics Actually Work Out

Cost of vibe coding: $0 upfront, $500-2K in annual maintenance and repairs.

Cost of hiring a developer: $3-8K upfront, $200-400 in annual maintenance.

At 18 months, developer cost often beats vibe-coding cost. At 3 years, it's not close. Developer wins on every dimension: lower maintenance, faster modifications, fewer security issues, better performance.

Where vibe coding wins: If you need something working in three days and you'll throw it away in three months, vibe code it. For everything else, the math favors a developer.

What You Should Do Monday Morning

Audit your current systems. Identify anything you vibe-coded or built with AI as a shortcut. Ask: Is this permanent or temporary? Am I still maintaining this? If it's permanent and multi-person, budget for a proper rebuild. If it's temporary or single-person, keep it as is and expect annual maintenance costs. For new projects, use this framework before you start coding. You'll make better investment decisions.

FAQ

What exactly is vibe coding?

Vibe coding means you write prompts in natural language describing what you want. Claude or GPT-4 generates code. You iterate. No formal training required. It's a real approach that works for specific use cases, but it has real downsides (repetition, security gaps, scalability issues) that don't disappear.

Is vibe coding the future?

For specific use cases, yes. Internal dashboards, prototypes, and temporary scripts. For anything permanent, customer-facing, or multi-person, no. Vibe coding will remain a powerful tool for prototyping and rapid iteration. It won't replace professional developers for systems that matter.

Is vibe coding better than coding?

Faster, not better. Vibe coding saves time upfront. Professional coding saves money over time. The question is your time horizon. Three months? Vibe code. Three years? Hire a developer. Both are the right answer in different contexts.

How do I know if my tool is vibe-coded?

Signs: the code has lots of repeated logic blocks. Modifying one feature requires changing multiple places. It slows down as data grows. No security hardening. Minimal documentation. If three of these apply, it's vibe-coded.

Should I rebuild my vibe-coded systems?

Only if you're still using them and will continue using them in 2027. If it's a temporary tool, keep it. If it's permanent and you're paying in maintenance burden, rebuild it properly. Break even is usually around 18 months of active use.

Next Step: Audit Your Current Tools

The decision to vibe-code or hire a developer isn't obvious until you have a framework. I've helped 120+ teams make this choice and determine when to rebuild versus maintain existing systems. Get a tool audit checklist and rebuild decision framework for your current AI-built and vibe-coded systems.

Also get: AI Quick-Wins Checklist, 5 tools you can safely vibe-code this week, plus the ones you should hand off to a developer.

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