Building Production Apps in Under 8 Hours
One of the most common questions we get asked is: how fast can you actually build a production application using AI? The answer, as we have demonstrated twice now, is under 8 hours.
The Challenge
At Advancer, we needed to prove that AI-first development is not just about writing code faster. It is about shipping complete, production-ready applications, with authentication, deployment, monitoring, and real users, in a fraction of the time traditional development takes.
ThinkSpace: Visual Thinking Made Simple
ThinkSpace is a collaborative product thinking interface that helps teams structure ideas, roadmaps, and decisions. We built it from an empty repository to a deployed production application on mythinkspace.app in under 8 hours. This included the full React frontend, Aiqbee GraphRAG integration for intelligent knowledge management, user authentication, and Azure deployment.
SupportSpace: Intelligent Product Support
SupportSpace followed the same pattern. An AI-powered support automation platform that turns development activity into support content automatically using Model Context Protocols. Again, concept to production in under 8 hours, deployed to supportspace.web.app with full functionality.
What Made This Possible
- AI-first development methodology: using coding agents for implementation while maintaining human oversight on architecture and design
- Aiqbee's GraphRAG technology for intelligent knowledge management out of the box
- Azure cloud infrastructure with well-practised deployment patterns
- Clear product vision before writing a single line of code
- Enterprise practices from day one: proper authentication, error handling, and monitoring
The Key Insight
Speed without quality is worthless. What makes AI-first development powerful is not just the velocity; it is the ability to maintain enterprise-grade practices while moving at startup speed. Both ThinkSpace and SupportSpace have proper authentication, error handling, deployment pipelines, and production monitoring. They are not prototypes; they are production systems.
This is exactly the approach we bring to our Startup Acceleration service: helping founders who build with AI ship production-ready products with the practices that will scale.
