CodeBuddy

CodeBuddy extends AI assistance to requirements, design, coding, and deployment. On the IDE side, you can start from a requirements specification or design document to generate projects and interfaces, then continue refining them within the project context; on the plugin side, it offers code completion, question‑answering, and code processing directly within existing editors, while the CLI is designed for terminal‑based use. Choose the appropriate entry point based on your current workflow.

In everyday development, you can use conversational AI to understand code or APIs, and leverage code completion and next-step editing suggestions to reduce repetitive typing. During conversations, you can reference files, folders, or code snippets; for UI development, you can also provide context by attaching screenshots or Figma links, thereby minimizing information gaps that can arise from relying solely on textual descriptions of the interface.

The IDE documentation distinguishes between work modes such as Ask, Craft, and Plan. Ask is for technical discussions, Craft focuses on code generation and localized edits within the current context, while Plan is geared toward cross-file or complex tasks, breaking them down into steps before moving forward. Configurations like rules, memory, skills, and MCP are used to extend project constraints and integrate external tool capabilities; generated code still requires review, testing, and validation by developers.

Developers maintaining existing projects, as well as product, design, and development collaboration teams that need to turn product requirements or design mockups into functional prototypes.