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AI tools aren’t dev teams so we built agents that actually work like one
r/indiehackers
7/9/2025
Content Summary
The post introduces Tile, an AI-powered app development platform addressing the gap between prototype creation and production deployment. It combines visual design (Figma-like interface) with domain-specific AI agents to handle backend setup (Supabase, Stripe), generate React Native code, and automate App Store deployment. Targeting indie developers and teams building MVPs, Tile eliminates the need for DevOps expertise while maintaining code control. The solution positions itself as a comprehensive alternative to limited AI app builders that only create prototypes.
Opinion Analysis
Mainstream opinion supports Tile's approach to solving the prototype-to-production gap. Users appreciate the combination of visual design with technical automation, particularly the domain-specific AI agents for backend services. The no-lock-in code access resonates with technical users. Some potential debates might arise around:
- Whether AI can fully replace human oversight in complex deployments
- The learning curve for non-technical users despite the visual interface
- Long-term maintainability of generated codebases No direct conflicting opinions in comments, but implied need to prove reliability through real-world use cases.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Tile | https://www.producthunt.com/products/tile-2 | AI App Development Platform | Visual design (Figma-like), AI agents for backend setup (Supabase, Stripe, Auth), React Native code generation, automated DevOps, App Store deployment |
| Supabase | Backend-as-a-Service | Auth, database, backend services | |
| Stripe | Payment Processing | Payment integration | |
| Figma | Design Tool | Visual app design | |
| Vercel | Deployment Platform | Deployment automation |
USER NEEDS
Pain Points:
- Existing AI app builders only create prototypes without real functionality
- Difficulty implementing core features like auth, payments, and backend
- Dependency on manual coding/DevOps for deployment
- Broken builds requiring developer assistance
Problems to Solve:
- Bridging the gap between prototype and production-ready apps
- Automating backend setup and infrastructure management
- Eliminating need for Xcode/DevOps expertise
- Maintaining code control without vendor lock-in
Potential Solutions:
- Domain-specific AI agents for technical components
- Visual development interface combined with code generation
- Automated deployment pipelines
- Full code access for technical users
GROWTH FACTORS
Effective Strategies:
- Targeting underserved indie developers and solo founders
- Solving specific pain points in mobile app deployment
- Combining visual design with technical automation
Marketing & Acquisition:
- Positioning as Figma+Vercel+AI dev team combo
- Showcasing real-world use by MVP builders
- Product Hunt launch for visibility
Monetization & Product:
- No-code/low-code approach with code access
- Focus on technical users wanting control
- Solving “last mile” deployment challenges
User Engagement:
- Direct engagement with technical community
- Offering code control to build trust
- Positioning as alternative to prototype-only tools