Accelerating MVP Development with AI: Lessons from Cadabra Studio
Discover how Cadabra Studio harnessed the power of AI, specifically GPT-5 and Claude, during a three-month journey to develop a full MVP. With the aim of combining rapid development speeds and in-depth implementation, Cadabra Studio adopted Vibe-Coding and the Cursor IDE environment. This approach enabled project-wide context awareness and architectural insights, propelling dev velocity to 2–3 times higher than traditional teams. While the AI-driven process facilitated speedy output, it highlighted potential blind spots in AI logic, triggering errors reminiscent of novice developers. These findings underscore the need for balancing AI's automation abilities with human oversight. As Cadabra Studio plans for a future of automated code validation to improve reliability, they invite you to share your own experiences with AI in software development. How do you manage AI "hallucinations" and ensure a coherent understanding of the broader project scope? Join the discussion and explore the future cadence of AI-powered development.
Accelerating MVP Development with AI: Lessons from Cadabra Studio
- 1. What We Learned Balancing Speed and Control in AI-Driven MVP Development Cadabra Studio: https://cadabra.studio hello@cadabra.studio
- 2. The Need for Speed and Control Balancing rapid development with structured oversight is challenging. Highlight: Aiming for a complete MVP in 3 months.
- 3. Tools and Tech Stack Powering Our Journey Vibe-Coding Utilizing Vibe-Coding for efficient development. Cursor IDE Leveraging Cursor IDE for an integrated development environment. GPT-5 & Claude Harnessing the power of advanced AI models like GPT-5 and Claude. Emphasis on AI co-pilots for faster execution.
- 4. Context-Driven Code Development Cursor's integration with GPT-5 enhances project-wide context awareness. Enables intelligent architectural suggestions and efficient mini-app creation.
- 5. AI Achievements and Limitations Achievements Fast and efficient coding, 233x the velocity of human teams. Limitations Key insight: AI can "hallucinate" or make simplifications, causing potential oversights.
- 6. Strategy for Success: Balancing Power and Oversight 1 Human Oversight 2 Balancing Act 3 AI Automation Striking a balance between AI's automation power and human oversight. Avoiding costly mistakes with constant human involvement.
- 7. Future of AI in Development Workflows Plans to incorporate multi-layer automated code validation. Call to action for feedback on managing AI-induced errors.
- 8. What Would You Do? "We believe we can reframe software delivery from the ground up, where every decision, tool, and interaction is guided by contextual intelligence." How are you aligning AI capabilities with your development processes? Connect with us: hello@cadabra.studio https://cadabra.studio Learn more: Medium article: Building a 3-Month MVP with Vibe-Coding, Cursor, and GPT-5: Where AI Speeds Up, and Slows You Down Cadabra Insights in Notion: Best Practices for AI Code Generation: Speed, Guardrails, and Validation