genval.ai - Revolutionize Your Development with AI

What is genval.ai?

This innovative platform empowers developers and architects to streamline their software development workflow. It leverages AI to enhance code generation, refactoring, and overall development processes. Seamless integration with GitHub allows for efficient management and transformation of codebases.

The platform offers capabilities for multi-file updates based on single prompts, facilitating tasks like feature additions, code modernization, and language migrations. It stands out by its ability to reason over entire filesystems, going beyond the limitations of traditional code generators.

Features

AI-driven code generation: Generate code from human-authored specifications.
Codebase Refactoring: Transform complex, cluttered codebases into well-organized, maintainable projects.
Language Migration: Convert code from one programming language to another using custom templates.
Multi-file Updates: Make changes to multiple files (up to 100) in a repository with a single prompt.
Derivative Centric Development (DCD): Derive code artifacts from a system definition or source of truth.
GitHub Integration: Seamlessly integrates with GitHub to transform your software development workflow.

Use Cases

Composable Commerce for Global Retailers: Standardize API layers and implement a composable middle layer for global e-commerce operations.
Code Migrations and Modernizations: Upgrade codebases to address security vulnerabilities, cost optimizations, and technical debt.
Adding new features to existing codebases.
Updating dependencies and upgrading versions.
Generating documentation for codebases.
Creating integration specifications and capability definitions.

FAQs

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.