Code99 is an innovative AI-driven platform designed to accelerate the development of full-stack applications. By processing your database schema, it generates production-grade code tailored to your selected tech stack. This includes the integration of powerful tools and frameworks such as NestJS and TypeORM, ensuring scalability, type-safety, and optimal database access. Customize features to suit your project's unique needs and launch applications with unprecedented speed and confidence.

Folderer integrates AI technology with your GitHub repositories, transforming your ideas into production-ready code. The AI understands your project requirements, generates high-quality, customized code, and seamlessly commits changes to your GitHub repository. You interact with Folderer through a chat interface, refining the code according to your needs. This AI-powered workflow saves time, reduces errors, and allows you to focus on core development tasks.

Dagger LLM is a suite of AI-powered features that leverages state-of-the-art large language models to streamline DevOps pipeline development. Users describe desired CI/CD flows in natural language, and Dagger LLM translates these prompts into complete pipeline definitions, supporting multiple languages and frameworks. It offers on-the-fly code suggestions, optimization recommendations, and context-aware adjustments. With built-in intelligence for debugging and refactoring, teams can quickly iterate on pipelines, enforce best practices, and maintain consistency across complex container-based deployments.

Agentless is a lightweight, agent-free framework designed to streamline AI-driven code automation workflows. By integrating directly with large language models via API calls, it generates, executes, and validates code in real time across diverse environments. Developers define tasks in YAML or JSON workflows and extend functionality through a plugin architecture supporting multiple programming languages. Agentless eliminates the overhead of dedicated agent processes, simplifying deployment and monitoring. It offers built-in connectors for GitHub Actions, Jenkins, and other CI/CD systems, plus automated testing modules for code review, unit test generation, and static analysis to ensure high-quality output.

The AI Agent built on ToolHouse and Groq LLM takes natural language prompts from developers and orchestrates a chain of tools—such as code generators, linters, test runners, and CI/CD connectors—to produce, validate, and refine code snippets. It supports multiple programming languages, offers feedback-driven iterations, and can integrate custom plugins for specialized tasks. By automating execution and testing steps, the agent ensures that generated code meets quality standards before delivery.

AI Code Guide is an innovative platform that offers detailed resources, tutorials, and tools to facilitate AI-driven code generation and optimization. The platform is geared towards helping developers understand and utilize AI technologies in their coding projects efficiently. Through step-by-step guides and state-of-the-art tools, AI Code Guide aims to simplify the process of integrating AI into software development, making it accessible for both beginners and experienced developers.