5 Advanced Vibe Coding Tips Every Developer Should Know

Coding Evolves in the AI Era

As AI models like Claude, GPT, and Gemini continue to advance, the potential of vibe coding grows with them. We're in an era where you can convey your intent in natural language and AI writes the code. But simply throwing prompts at AI won't guarantee perfect results.

Effective vibe coding requires systematic techniques. Without strategies to maximize AI's strengths and compensate for its weaknesses, your project can quickly fall apart.

In this article, we'll introduce 5 essential vibe coding tips you can apply immediately. Master these techniques to dramatically improve your collaboration with AI coding agents.

1. Always Write a Detailed Plan Document First

The most common mistake in vibe coding is starting to code without a plan. If you just say "build this feature," AI might head in a completely different direction than you intended.

Why is Planning Important?

AI performs best when given clear goals and constraints. Creating structured documents like PRDs (Product Requirements Documents) or implementation plans first provides:

• Consistent Implementation: Generate coherent code across multiple conversations
• Scope Control: Prevent unnecessary feature creep
• Clear Validation: Easier to evaluate completeness against requirements

Practical Tips

1. Use PRD Templates: Specify goals, key features, constraints, and success metrics
2. Define Tech Stack: Specify libraries, frameworks, and architectural patterns
3. Phase Your Plan: Clearly define the implementation order

A good plan is the foundation of good code. Tell AI not just "what" but also "how" and "why."

2. Have AI Critique Its Own Work from Multiple Perspectives

Just because AI wrote the code doesn't mean you're done. Adding a self-review process significantly improves code quality.

The Power of Self-Critique

When you ask AI to review its generated code:

• Discover Edge Cases: Identify easily-missed exception scenarios
• Performance Improvements: Optimize inefficient logic
• Security Vulnerabilities: Identify potential security issues

Effective Review Prompts

Critically review the code you just wrote from these perspectives:
1. Performance: Bottlenecks or inefficient sections
2. Security: Potential vulnerabilities
3. Maintainability: Hard-to-read or overly complex logic
4. Testing: Edge cases or missing test scenarios

This meta-cognitive approach elevates AI output quality to the next level. Don't settle for a single generation—use AI as its own reviewer.

3. Build a Harness: Automated Verification Systems

The most reliable way to verify that AI-generated code actually works is to build an automated verification system.

What is a Harness?

A harness is a safety net that automatically verifies code meets basic quality standards:

• Type Checker: Verify type safety with TypeScript
• Linter: Check code style and potential errors with ESLint, Prettier
• Build System: Confirm structural integrity through successful builds
• Test Suite: Verify behavior with unit/integration tests

Practical Application

# Add validation script to package.json
{
  "scripts": {
    "validate": "pnpm typecheck && pnpm lint && pnpm test && pnpm build"
  }
}

Instruct AI to run this validation every time it modifies code. When issues arise, create a feedback loop where AI self-corrects.

An automated harness is a safety net that catches AI mistakes immediately. This dramatically reduces debugging time.

4. Use Only 80% of Your Context Size

No matter how large an AI model's context window is, never fill it to 100%. Context rot occurs when you do.

What is Context Rot?

When context fills up:

• Early Information Loss: Important initial instructions get diluted
• Consistency Issues: Conflicts between recent and early information
• Performance Degradation: Reduced token processing efficiency

The 80% Rule

Keeping context usage below 80%:

• Preserves important initial instructions
• Allows AI to stably understand the full context
• Leaves room for adding new information

Practical Strategies

1. Split Conversations: Break large tasks into multiple sessions
2. Use Summaries: Request mid-conversation summaries for long discussions
3. Remove Unnecessary Context: Clean up debug logs and repeated information

Context requires quality management. Focus on maintaining only essential information rather than filling it up.

5. Use Various Tools to Optimize Token Consumption

Most vibe coding costs come from token consumption. Efficient tools can significantly reduce costs.

Recommended Tools

1. Sub Agents

Split complex tasks into multiple smaller agents. Each agent focuses on a specific role, reducing unnecessary context.

2. Serena MCP

Efficiently manage context using the Model Context Protocol. Dynamically load only needed information to prevent token waste.

3. Vooster AI MCP

The most powerful token optimization tool. Vooster AI provides:

• AI PRD Wizard: Automatically generates optimized PRDs
• Automatic Task Decomposition: Breaks large tasks into efficient units
• MCP Integration: Direct integration with AI coding tools like Cursor to minimize token consumption

Vooster AI systematically structures work from the planning stage, preventing unnecessary trial-and-error and token waste at the source.

Tool Selection Criteria

• Choose tools appropriate for project scale
• Consider compatibility with team workflows
• Weigh token savings vs. learning curve trade-offs

Maximizing the Potential of Vibe Coding

Let's summarize the 5 techniques introduced:

1. Write Detailed Plan Documents - Provide clear direction
2. AI Self-Review - Leverage meta-cognition for quality improvement
3. Build a Harness - Ensure safety through automated verification
4. 80% Context Rule - Prevent context rot
5. Use Optimization Tools - Reduce token consumption

Following these techniques in your vibe coding will unlock the true potential of AI coding agents.

Vooster AI is specifically designed to naturally apply all these techniques. It automatically generates detailed PRDs, efficiently decomposes tasks, and significantly saves tokens through MCP integration.

From idea to execution, AI accompanies you every step. Good code starts with good planning.

Start your systematic vibe coding journey with Vooster AI today!