Genval lets developers model their software systems in English, then use AI to generate derivative works like interfaces, services, and infrastructure as code. It empowers developers and architects with AI-driven code generation, refactoring, and development tools, integrating seamlessly with GitHub to transform software development workflows.
What is Genval AI?
How to use
Model software systems in English, then use Genval AI to generate derivative works like interfaces, services, and infrastructure as code. Integrate with GitHub to streamline your development workflow.
Core Features
- AI-driven code generation
- Autonomous codebase refactoring
- Derivative Centric Development (DCD)
- Multi-file updates with a single prompt
- Integration with GitHub
Use Cases
- Generating README files automatically
- Converting code between programming languages
- Updating websites with new features
- Converting documentation to different languages
- Refactoring complex codebases into well-organized projects
- Generating entire e-commerce stacks from markdown specifications
- Adding new providers and integration definitions
- Composable Commerce for Global Retailers
- Code Migrations and Modernizations
FAQ
What is genval.ai and who is it for?
genval.ai is a powerful tool for developers and architects who want to leverage their code repositories more effectively. It allows changing multiple files in a repository with a single prompt, ideal for adding new features, refactoring, updating dependencies, migrating languages, and upgrading versions.
How does genval.ai differ from ChatGPT or Claude?
Unlike other LLM code generators, genval.ai works with entire filesystems as part of the input, allowing it to reason over many files at once. This enables multi-file updates and changes based on a single prompt. genval.ai uses state-of-the-art commercial models like Amazon Bedrock with Anthropic Claude 3.5.
Is genval.ai a Low Code or No Code solution?
genval.ai is not a traditional Low Code or No Code solution. While you don't write code directly, you need to understand how code works to effectively use genval.ai. You'll be writing task instructions in English, but you'll need to think about which code files should be in scope for a reasoning task and what you want the task to accomplish.
What is Derivative Centric Development (DCD)?
DCD is a concept developed at genval.ai, where most code artifacts can be derived from a system definition or source of truth. This approach significantly improves agility by allowing technical teams to focus on defining system or business requirements rather than building models, interfaces, and implementations.
What's the difference between a Task and a Process in genval.ai?
A Task is a single prompt where you provide instructions for an LLM to make changes to a set of files. A Process is a chain of tasks, useful for creating pipelines that implement Derivative Centric Development techniques.
How do credits work?
Credits are consumed based on the complexity and size of tasks you perform. More complex tasks or those involving larger codebases will use more credits.
Can I change my plan?
Yes, you can upgrade, downgrade, or cancel your subscription at any time from your account dashboard.
What happens if I use all my credits?
You can purchase additional credits or upgrade your plan if you need more. Your account will not be charged automatically.
Is there a long-term commitment?
No, all plans are billed monthly and can be canceled at any time. There are no long-term contracts required.
Pricing
Start Plan
$25/Month
2,500 credits/month. Ideal for evaluation and occasional refactoring. Perfect alternative to copy-pasting from ChatGPT. Access to core genval.ai features.
Build Plan
$50/Month
5,000 credits/month. For serious developers using AI in daily work. Unlock your potential as a super developer. Enhanced feature set for productivity.
Scale Plan
$100/Month
10,000 credits/month. Designed for power users and teams. Work on multiple repositories. Advanced features for enterprise-grade development.
Enterprise
Contact Us
Custom solutions for large-scale operations. Tailored pricing and features. Dedicated support and onboarding. Custom integrations and security features.
Pros & Cons
Pros
- Reduces development time and effort
- Improves code quality and maintainability
- Enables rapid regeneration of codebases
- Facilitates easier integration with modern workflows
- Addresses security vulnerabilities and technical debt
- Streamlines global e-commerce operations
- Allows for multi-file updates based on a single prompt
Cons
- Requires understanding of code to effectively use the platform
- Not a traditional Low Code or No Code solution
- Credit-based usage may require plan upgrades for extensive use