amazon-q-developer capabilities

Amazon Q Developer is embedded in the AWS Management Console, AWS Console Mobile App, AWS documentation website, and AWS marketing website, providing AI chat about AWS resources, architecture best practices, error diagnosis, and Console-to-Code IaC generation.

An autonomous coding agent (formerly /dev) that takes a natural-language task description, analyzes the project workspace, generates an implementation plan, writes multi-file code changes, and presents a diff for review — without the developer manually directing each edit.

Amazon Q Developer reviews code for security vulnerabilities (SAST, secrets exposure, IaC misconfigurations, SCA), code quality issues, and deployment risks, surfacing findings with AI-generated fix suggestions in the IDE.

Automated, AI-powered language-version and platform migration that analyzes a project, generates a transformation plan, applies code changes, and presents a diff for developer review and acceptance.

A terminal-native AI agent (the Q CLI) that provides shell command autocompletion for 250+ CLIs, natural-language-to-bash translation via `q translate`, and an interactive AI chat session (`q chat`) directly in the terminal.

Amazon Q Developer Pro users can create customizations that fine-tune inline code suggestions against the organization's private codebase, producing suggestions aligned to internal libraries, coding style, and APIs.

Amazon Q Developer generates and updates code documentation — including READMEs, inline comments, and API docs — for an entire codebase or specific files, on request from the IDE chat.

Amazon Q Developer integrates with GitHub to autonomously implement features and bug fixes from GitHub Issues, opening a pull request with generated code changes that the developer can iterate on via /q slash commands in PR comments.

Amazon Q Developer ships native extensions and plugins for VS Code, JetBrains IDEs, Visual Studio, and Eclipse, plus built-in integration in AWS coding environments (Cloud9, Lambda console, SageMaker AI Studio, JupyterLab, Glue Studio Notebook).

A persistent chat panel embedded in the IDE where developers can ask questions about AWS, explain and debug code, generate new code, refactor, and run agentic multi-step coding tasks — all without leaving the editor.

Real-time AI-generated code completions that appear as ghost text while you type, ranging from single-line completions to full functions, triggered by existing code and natural-language comments.

Amazon Q Developer supports the Model Context Protocol (MCP), allowing developers to connect external tools and data sources to the IDE agent via configurable STDIO or HTTP MCP servers.

Developers can select which foundation model Amazon Q Developer uses for IDE chat sessions; the selection persists across all future chat sessions until changed.

Amazon Q Developer offers a perpetual Free tier and a paid Pro subscription, with the Free tier covering core features at lower monthly quotas and the Pro tier adding higher limits, customizations, IP indemnity, and admin controls.

Amazon Q Developer builds a local semantic index of the open workspace so chat queries can reference any file in the project — including unopened files — enabling cross-file code generation, location, and explanation.

Amazon Q Developer generates unit tests for selected code or entire files on request, helping automate testing throughout the software development lifecycle.