Genval

Genval AI is an AI-powered platform for developers and software architects, offering AI-driven code generation, refactoring, and development tooling that integrates seamlessly with GitHub to transform software development workflows. The platform demonstrates capabilities through videos and interactive templates, including README generation, language migration templates, feature addition workflows, and documentation conversion across languages. Genval AI emphasizes autonomous refactoring and end-to-end codebase modernization, enabling multi-file reasoning and rapid, repeatable transformations at scale.

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How Genval AI Works

• Leverages state-of-the-art AI models to reason over entire file systems and multiple files at once, enabling multi-file updates from a single prompt.
• Supports task-based instructions that operate on a repository (up to 100 files in a single task), covering features such as code generation, refactoring, migrations, and language conversions.
• Integrates with GitHub and exports integration definitions, capabilities, and specifications to maintain consistency across projects.
• Provides templates and templates-based workflows (e.g., language migrations, feature additions, documentation updates) to accelerate development cycles.

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Core Capabilities

• AI-driven code generation from human-authored specifications
• Autonomous codebase refactoring to improve structure and maintainability
• Multi-file updates across entire repositories (up to 100 files per task)
• Language migrations and cross-language transformations
• Integration with GitHub for seamless workflow integration
• Generation of project documentation (README, API specs) from codebases
• Derivative Centric Development (DCD): derive code artifacts from a system definition
• Exportable integration definitions and OpenAPI-like specifications for standardized integrations
• Task and Process orchestration for building AI-powered development pipelines

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What is Derivative Centric Development (DCD)?

A development approach where most code artifacts are derived from a single system definition or truth source. Genval AI uses DCD to rapidly regenerate, migrate, or refactor code by defining high-level requirements and enabling automated, consistent transformations across the codebase.

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Industry Solutions & Use Cases

• Generating an Ecommerce Stack from source markdown specifications
• Exporting resources to accelerate fintech workflows
• Adding new providers (e.g., Stripe) and building integration definitions for order management and taxation
• Autonomous VIX Analysis Codebase Refactoring: transforming a scattered codebase into a maintainable, well-structured system with clear services and models

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How to Get Started

1. Sign in to the Genval AI Console (public preview available).
2. Connect your GitHub repository to enable repository-wide reasoning and multi-file tasks.
3. Create tasks with natural-language instructions describing the desired changes (e.g., refactor, migrate language, add feature).
4. Run tasks to generate, migrate, or refactor code across the repository. Review changes and commit.
5. Use Process pipelines to chain tasks for end-to-end workflows (e.g., model generation → integration code → infrastructure as code).

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Safety & Best Practices

• Tasks should be well-scoped to avoid unintended changes across large codebases.
• Validate generated changes in a safe environment before merging to production.
• Maintain code ownership and review processes to ensure alignment with team standards.

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Getting More from Genval AI

• Explore industry templates (Retail, FinTech, etc.) to accelerate domain-specific implementations.
• Use language migration templates to convert legacy codebases to modern languages.
• Leverage the console to export integration definitions and maintain global standards across deployments.

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FAQ Highlights

• What is Genval AI? A code-generation and refactoring platform designed for developers and architects to maximize repository value with AI-assisted transformations.
• How is it different from general LLM tools? It reasons over entire file systems and multiple files per prompt, enabling multi-file updates and reproducible pipelines.
• Is it Low Code/No Code? It’s not traditional low-code; you provide task instructions in English and understand code structure to scope your tasks effectively.
• What is DCD? A derivative-centric approach where system definitions derive most artifacts, enabling rapid regeneration and modernization of codebases.

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Example Scenarios

• Converting a repository’s documentation language to Japanese across all code comments and docs.
• Refactoring a VIX analysis system into modular services with clear boundaries and documented interfaces.
• Creating a new provider integration (Stripe) with full order management and tax calculation definitions, then generating the corresponding integration code and infrastructure.

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Status and Access

• Genval AI is available in public preview. Sign in or create an account to access the Genval AI Console and start transforming your codebase.

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Quick Reference: What You Can Do With Genval AI

• Multi-file code updates and refactors (up to 100 files per task)
• AI-driven code generation, migrations, and language transformations
• Documentation generation and language localization
• Seamless GitHub integration and export of standardized integration specifications
• DCD-based workflows to derive complex systems from high-level definitions

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Core Features

• AI-powered code generation and refactoring from English task descriptions
• Ability to reason across entire repositories (multi-file scope)
• Language migrations and cross-language transformations
• GitHub integration for smooth development workflows
• Autonomous refactoring with maintainable, well-documented outputs
• Task and Process orchestration for building AI-driven pipelines
• Output exports of integration definitions and standardized specs