# Refact.ai An open-source coding agent for developers that plans and performs repository-aware software tasks. - Findings24: - Site: - Preços: Freemium - Categorias: Assistente de Código IA, Ferramentas Dev IA, Gerador de código com IA ## O que é Refact.ai? Refact.ai is an open-source AI coding agent that works inside a developer’s IDE. It can plan and carry out coding tasks, answer questions about a project, generate code, and assist with debugging and testing. The agent searches and analyzes a repository and can use connected resources such as GitHub, databases, and CI/CD pipelines. Developers can review its proposed work, guide execution, and choose models for different tasks. Refact.ai also offers real-time code completion and supports on-premise deployment for teams that need to keep code and development data under their control. ## O que Refact.ai pode fazer? ### Autonomous task execution Describe a development task in natural language; the agent plans and executes it step by step, with opportunities to preview and control the process. ### Repository-aware analysis Searches and analyzes project code to ground code generation and answers in the repository and its architecture. ### In-IDE chat Ask questions, request edits, debug problems, or generate code using natural language in the development environment. ### Real-time code completion Suggests continuations such as lines, functions, or classes as you type. The site identifies Qwen2.5-Coder and retrieval-augmented generation as part of this workflow. ### Connected development tools Can connect to resources including GitHub, PostgreSQL, Docker, databases, and CI/CD pipelines to work with related project operations. ### Self-hosted deployment and customization Offers on-premise deployment and ways to adapt agent memory and behavior to a codebase and workflow. ## Casos de uso ### Implement a feature across a repository Give the agent a high-level task and let it inspect project files, plan implementation steps, and propose changes for review. ### Investigate and fix a bug Use repository context and connected resources, such as a database, to help trace an issue and make a targeted fix. ### Build a project interface from an existing repository Provide a repository as context when requesting a new GUI or other application component, then inspect the generated result. ### Get help while learning to code Use chat and task delegation to build or debug an application while asking the agent to explain coding logic along the way. ## Perguntas frequentes ### Where can I use Refact.ai? Refact.ai is designed to work in an IDE, with in-IDE chat, code completion, and an agent workflow. ### Can I review the agent’s changes before they are applied? The agent workflow is described as allowing developers to preview and control the process. ### Can Refact.ai be deployed on-premise? Yes. The site describes on-premise deployment as an option for keeping code and data under the organization’s control. ### Which tools can it connect to? The site names GitHub, PostgreSQL, Docker, databases, and CI/CD pipelines among supported connections. ### Does it support code completion as well as task delegation? Yes. Refact.ai offers real-time code completion alongside an autonomous agent and in-IDE chat. ## Informações rápidas - **Product type**: Open-source AI coding agent - **Primary users**: Software developers - **Workflow**: IDE-based agent, chat, and code completion - **Deployment**: Cloud and on-premise options are described; Refact Cloud is announced as shutting down soon - **Model and context**: Qwen2.5-Coder is named for code completion; retrieval-augmented generation uses project-specific context - **Integrations mentioned**: GitHub, PostgreSQL, Docker, databases, and CI/CD pipelines