Nalo Seed Vibe-Coding Best Practices: Rapid AI-Powered Prototyping

Introduction

At Nalo Seed we build fast, learn fast, and ship fast. Vibe-coding lets a small team harness multiple AI agents as on-demand developers, designers, and researchers. This playbook shows one streamlined way to do it. Take what works, tweak the rest.

Quick-Start Cheat Sheet

1. Blueprint First: In Cursor, open agent chat and ask it to create blueprint.md in the root of the repo. Capture your one-liner vision, vibe descriptor, and a numbered list of granular tasks/phases.
2. Agent Orchestration: Stay in Cursor. Turn on Agent Mode (or use Claude Code) so AI can read/edit files and run commands.
3. Granular Loops: Pick a single task, run plan → edit → test → fix. Rinse & repeat.
4. Local MVP: Ship a tiny, runnable prototype on your own machine first. Decide in < 1 hr if it's worth scaling.
5. Frequent Commits: git add -A && git commit -m "feat: " after every green check.
6. Refresh Agents: If the chat drifts or hallucinates, start a new chat, point it at blueprint.md + repo, and keep going.
7. Prompt With Precision: Reference real code lines, file names, and expected behaviour. Ask the agent why before accepting big changes.
8. Multi-Tool Stack:

• Cursor (coding)
• Claude Code (planning)
• v0.dev (UI mockups)
• Make.com (workflow automation)
• Linear (task tracking)

The Blueprint-First Methodology

1. Vision Statement (1 sentence)

Start every project with a single sentence describing what you're building and why it matters.

Example: "Build a DM-driven landing page that converts Instagram conversations into qualified leads for our marketing automation service."

2. Vibe Descriptor (emotional context)

Capture the feeling, aesthetic, and user experience in 2-3 words.

Examples:

• "Clean, confident, converting"
• "Playful, intuitive, engaging"
• "Professional, trustworthy, efficient"

3. Granular Task List

Break the vision into numbered, actionable phases. Each task should be completable in 15-30 minutes.

Example Task List:

1. Set up Next.js project with TypeScript and Tailwind
2. Create landing page hero section with compelling headline
3. Build Instagram DM integration form component
4. Implement lead capture with email validation
5. Connect to Airtable for lead storage
6. Add confirmation page with next steps
7. Test end-to-end user flow
8. Deploy to Vercel with custom domain

Agent Orchestration Strategies

Multi-Agent Workflow

• Planner Agent: Creates blueprints, breaks down tasks, suggests architecture
• Coder Agent: Implements features, writes tests, debugs issues
• Designer Agent: Creates UI mockups, suggests improvements, optimizes UX
• Tester Agent: Runs tests, identifies edge cases, validates functionality

Agent Handoff Techniques

1. Context Preservation: Always reference the blueprint.md file when starting new conversations
2. State Documentation: Keep a running log of what's been completed in blueprint.md
3. Code Reviews: Ask agents to explain their changes before implementing
4. Incremental Progress: Test each small change before moving to the next task

Granular Development Loops

The 15-Minute Rule

Every task should be completable in 15-30 minutes. If it takes longer, break it down further.

Loop Structure

1. Plan (3 min): Agent reviews blueprint, understands current task, plans approach
2. Edit (8 min): Agent implements the feature, writes necessary code
3. Test (3 min): Run the code, check functionality, identify issues
4. Fix (1 min): Quick bug fixes or adjustments

Progress Tracking

• Update blueprint.md with completed tasks
• Commit changes with descriptive messages
• Take screenshots of working features
• Document any architecture decisions

Common Pitfalls

Agent Drift

Problem: AI starts hallucinating or losing context of the project Solution: Start new chat, reference blueprint.md and recent commits, continue from current state

Scope Creep

Problem: Project grows beyond original vision Solution: Stick to blueprint. Add new ideas to "Future Enhancements" section

Integration Hell

Problem: Multiple components don't work together Solution: Test integrations early. Build minimal viable connections first

Over-Engineering

Problem: AI suggests complex solutions for simple problems Solution: Always ask for the simplest approach first. Optimize later

Tools and Resources

Core Development

• Cursor: Primary IDE with AI agent capabilities
• Claude Code: Advanced planning and architecture discussions
• GitHub: Version control and collaboration

Design and Prototyping

• v0.dev: Rapid UI component generation
• Figma: Design refinements and asset creation
• Midjourney: Hero images and visual assets

Testing and Deployment

• Vercel: Instant deployment and hosting
• Playwright: End-to-end testing automation
• Linear: Task tracking and project management

Automation and Integration

• Make.com: Workflow automation between tools
• Zapier: Simple integrations and webhooks
• Airtable: Database and CRM functionality

Success Metrics

Development Speed

• Time from idea to working prototype: < 2 hours
• Time from prototype to production: < 1 day
• Features shipped per week: 3-5

Code Quality

• Test coverage: > 80%
• Build success rate: > 95%
• Zero critical bugs in production

Learning Velocity

• New tools learned per month: 2-3
• AI prompting efficiency: Improving weekly
• Team knowledge sharing: Daily

Getting Started

1. Create your first blueprint.md for an existing project
2. Try the 15-minute loop on a small feature
3. Document your results and refine the process
4. Share learnings with the team for continuous improvement

Remember: The goal isn't perfect code—it's rapid validation and iteration. Ship fast, learn faster, and let AI handle the heavy lifting while you focus on strategy and user experience.

Learn more about vibe-coding and other rapid development strategies. Explore our services at Nalo Seed to accelerate your development workflow and build better products faster.