✨ Vibe Coding with AI Agents

06 Jul, 2025

How to Build Better by Starting Smaller

If you want your agent to write like an engineer, you have to think like a tech lead.

🚧 The Problem with Blank-Slate Prompting

We've all done it.

You drop a wall of requirements into your favorite AI tool and ask it to “write the code.”
What comes back is… functional-ish, but it’s usually:

• Over-engineered or way too shallow
• Missing context or duplicating logic
• A giant slab of code that's hard to iterate on

That’s not coding — that’s dumping.

And it’s not how agents thrive.

✍️ The Better Way: Vibe Coding

Vibe coding is a loose term we use to describe a more iterative, alignment-focused way of working with AI — not just asking it to code, but scoping and shaping how it thinks.

Here’s what works better (and why):

1. 🧱 Start with Interfaces, Not Implementations

Instead of feeding all the logic upfront, try writing high-level class or function stubs:

class UploadService {
  validateFile(file: File): boolean;
  storeFile(file: File): string;
  retryUpload(file: File): void;
}

This creates a scaffold for the agent to fill in — and encourages it to think in layers, not blobs.

Think of this as setting architectural intent before asking it to wire the plumbing.

2. 🎯 Scope Tighter (Tighter Than You Think)

The tighter your request, the better the output.

Instead of:

"Write the full file upload service"

Try:

"Implement validateFile() to check file size, type, and user permissions."

Each sub-problem gets more attention and less hallucination. You're effectively pair programming, not outsourcing.

3. ✅ Write Tests First — Seriously

You don’t have to be a TDD purist, but giving the agent example behaviors up front is magical.

// before writing implementation
expect(validateFile("virus.exe")).toBe(false);
expect(validateFile("photo.jpg")).toBe(true);

Tests:

• Anchor the agent’s assumptions
• Act as self-checks during generation
• Help you debug weird behavior later

4. 🌀 Vibe Coding Is a Conversation

AI is more co-pilot than contractor. You don’t just prompt it — you vibe with it:

• Think: “here’s where we’re going”
• Then: “here’s a little piece of it”
• And: “now give me code that fits this shape”

This collaborative rhythm makes code more composable, testable, and way easier to debug.

🧠 Summary: What Works

🔚 Final Thought

Letting agents code isn’t lazy — it’s strategic.
But to get the most out of them, we have to stop handing them messes and start handing them shape.

Because the best vibe isn’t about chaos — it’s about alignment.

Tags: blog, vibe coding, prompting, autonomous agents, LLM engineering, test-driven AI