Revolutionize Your Development with AI
genval.ai is an innovative platform that empowers developers and architects with AI-driven code generation, refactoring, and development tools. We integrate seamlessly with GitHub to transform your software development workflow.
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Discover how genval.ai's AI-powered solutions can transform your industry
Introducing Derivative Centric Development (DCD)
Discover a revolutionary approach to software development that leverages the power of AI to transform how we build and maintain complex systems.
- AI-driven code generation from human-authored specifications
- Unprecedented flexibility and adaptability in software development
- Rapid regeneration of entire codebases in minutes
- Seamless integration with modern development workflows
Common Use Cases
Composable Commerce for Global Retailers
genval.ai empowers major international apparel manufacturers and retailers to streamline their global e-commerce operations. By standardizing API layers and implementing a composable middle layer, genval.ai helps businesses:
- Reduce per-deployment costs across multiple markets
- Simplify integration with region-specific software providers
- Decrease complexity and technical debt
- Facilitate easier acquisitions and divestitures
Using genval.ai's console, businesses can define capabilities, providers, and integration specifications. These definitions are exported to git repositories, becoming the source for generating consistent OpenAPI specifications used worldwide. This approach allows for market-specific integrations while maintaining global standards, solving a common headache for technical leadership teams in global e-commerce.
Code Migrations and Modernizations
genval.ai revolutionizes the way enterprises upgrade their codebases, addressing challenges such as:
- Security vulnerabilities
- Cost optimizations
- Technical debt retirement
- Increased agility through modern architecture
Unlike traditional methods that rely on complex and brittle custom scripts, genval.ai allows customers to:
- Define migration goals using clear, English-based task definitions
- Perform comprehensive updates across multiple files simultaneously
- Leverage powerful LLM models to reason over large portions of the codebase
- Execute complex transformations, such as upgrading language versions or migrating to different languages entirely
genval.ai's approach significantly reduces the time and effort required for large-scale code migrations, enabling teams to modernize their applications more efficiently and with greater consistency.
Frequently Asked Questions
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. We provide the ability to change multiple files (up to 100) in a repository with a single prompt, making it ideal for adding new features, refactoring classes, updating dependencies, migrating between 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, ensuring high-quality code generation.
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 we've 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. genval.ai helps generate integration specifications, capability definitions, and more from these high-level descriptions.
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. This might include building models from markdown source files, generating integration code from the models, and then creating infrastructure as code from the integration code.
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