What is AppWizzy?
AppWizzy provides a professional development environment for building production-ready web applications and websites through AI-powered code generation. Users describe their desired application in plain English, and the platform automatically creates software architecture plans and database schemas using AI models like Gemini and GPT. Unlike basic code generators, AppWizzy provisions real cloud-based development machines where applications run with full back-end logic, databases, and integrations.
The platform offers Git-native workflow integration, allowing developers to accept, revert, or iterate on AI-generated code edits with complete version control. Pricing follows a transparent credit-based system covering AI token usage, daily hosting costs, and optional template licenses. Users can choose from various pre-built templates or start from scratch, with one-click deployment to production environments that include CI/CD pipelines and infrastructure management.
Features
- Real Development Machine: Provisions cloud-based virtual machines with full tech stack support including PHP, Python, Node.js, PostgreSQL, and MySQL
- AI-Powered Code Generation: Uses Gemini, GPT, and Claude models to generate code from natural language descriptions and edit existing repositories
- Transparent Pricing: Credit-based system with clear costs for AI tokens, daily hosting, and template licenses (1 credit = $1)
- Git Integration: Full version control with ability to accept, revert, or iterate on AI-generated code edits
- Template Marketplace: Pre-built templates for various application types including SaaS, CRM, e-commerce, and admin panels
- One-Click Deployment: Instant deployment to production with full CI/CD pipeline and infrastructure setup
- Refund Safety: Credits refunded for 'bad-AI' implementations within 10 minutes (capped per plan)
- Team Collaboration: Support for private apps, multiple collaborators, and audit trails
Use Cases
- Building MVP applications for startups and small businesses
- Creating custom admin panels and internal business tools
- Developing e-commerce platforms and online stores
- Building SaaS applications with complex back-end logic
- Creating CRM systems and customer relationship management tools
- Developing educational platforms and course management systems
- Building healthcare applications with secure data management
- Creating climate and weather forecasting applications
- Developing meeting management and productivity tools
- Building tax compliance and financial management systems
FAQs
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What types of applications can be built with AppWizzy?
AppWizzy supports building various types of web applications including websites, web apps, AI chatbots, SaaS platforms, admin panels, portals, e-commerce sites, CRM systems, and other business applications with complex back-end logic and database integrations. -
How does the credit system work for AI modifications?
Credits are used for AI token consumption based on the selected model. Different AI models have varying rates per million tokens for prompts and completions. For example, Gemini 3 Flash costs $0.50 per million prompt tokens and $3.00 per million completion tokens, with 1 credit equal to $1 of usage. -
What hosting options are available?
AppWizzy provides sandbox VM options billed daily, with resources ranging from 2 vCPU + 1GB memory ($0.25/day) to 2 vCPU + 4GB memory ($1.00/day). Hosting includes both development and stable environments, with the ability to pause, resume, deploy, and rollback applications. -
Can I use my own domain with AppWizzy applications?
Yes, custom domains are supported, particularly in the Basic and Enterprise plans. The platform provides HTTPS/SSL encryption out of the box for secure connections to your applications. -
What programming languages and frameworks are supported?
AppWizzy supports multiple tech stacks including PHP (LAMP), Python (Django), Node.js/Next.js, with database options like PostgreSQL and MySQL. The platform uses a modern Next.js/Node.js/PostgreSQL stack that works for both public and internal applications.
