Amazon Q Developer is an AI-powered coding assistant for software developers. It provides code suggestions, chat, testing, security scanning, refactoring, and agentic help across supported IDEs, the command line, AWS tools, and selected collaboration workflows.
Amazon Q DeveloperAmazon Q Developer is an AI-powered software development assistant from AWS. It works in supported code editors and terminals to help developers generate code, ask questions, troubleshoot, test, review, refactor, and upgrade applications. Its core purpose is to reduce manual work across the software development lifecycle while keeping development activity in familiar tools.
The assistant combines code-focused help with AWS guidance and application transformation workflows. Depending on the environment, developers can use it for inline suggestions, natural-language interaction, security analysis, operational investigation, and multistep agentic tasks that involve files, diffs, and shell commands.
Generates suggestions ranging from snippets to full functions using comments and existing code. Inline chat is available in supported code editors, while the command-line interface provides completions and natural-language-to-Bash translation.
Can work through multistep activities such as feature implementation, documentation, unit testing, code review, and refactoring. The agentic experience can read and write files, create code diffs, run shell commands, incorporate feedback, and provide progress updates.
Helps write unit tests, optimize code, scan for vulnerabilities, and suggest remediations. These capabilities are intended to support reliability and security work during development.
Can connect securely to private repositories so recommendations can reflect internal code and users can ask questions about company codebases.
In the AWS Management Console and supported chat applications, helps users review resources, analyze bills, explore architectural guidance, investigate operational incidents, and diagnose networking issues.
Supports .NET porting from Windows to Linux and Java upgrades, and helps with natural-language queries, data pipelines, machine-learning models, and generative AI application development.
A developer can describe a change in the editor and use agentic assistance to generate or modify files, review the resulting diff, run related shell commands, and create supporting documentation.
Teams can use code analysis to generate unit tests, optimize implementation details, identify vulnerabilities, and apply suggested fixes as part of a reliability or security review.
Organizations maintaining older systems can use the transformation workflows for .NET porting from Windows to Linux or for upgrading Java applications.
Cloud practitioners can use Amazon Q in the AWS console, Microsoft Teams, or Slack to examine resources, review costs, investigate operational incidents, and diagnose networking problems.
Data and application teams can use natural-language query assistance, data-pipeline coding help, machine-learning model support, and generative AI development guidance.
AWS lists plugins or extensions for JetBrains, VS Code, Visual Studio, and Eclipse, plus a command-line interface. It is also available in the AWS Management Console, the AWS Console Mobile Application, Microsoft Teams, Slack, GitLab workflows, and selected GitHub workflows.
It can handle multistep development tasks such as implementing features, writing documentation, testing, reviewing, and refactoring code. It may read and write files, generate code diffs, run shell commands, incorporate feedback, and provide real-time updates.
Yes. AWS says Amazon Q Developer can connect securely to private repositories to provide more relevant code recommendations, answer questions about company code, and help users understand internal codebases.
AWS states that Amazon Q Developer has a perpetual Free Tier with 50 agentic chat interactions per month and the ability to transform up to 1,000 lines of code per month. Current eligibility, pricing, and other plan conditions should be confirmed on the Amazon Q Developer pricing page.
AWS has announced that support for Amazon Q Developer IDE plugins will be discontinued on April 30, 2027. AWS directs users seeking similar capabilities to explore Kiro.
zzzcode.ai
多様なプログラミング言語のコード生成・レビュー・変換・解説に対応するAIツール
code.claude.com
Claude Code is an agentic coding tool from Anthropic that reads codebases, edits files, runs commands, and supports development work from the terminal, IDE, desktop app, or browser. It is designed for developers handling tasks such as bug fixes, tests, onboarding, and code migrations.
verdent.ai
Verdent AIは、自然言語のソフトウェア目標をタスク、ビルド、テスト結果に変換するエージェント型コーディングスイートです。VS Code、デスクトップアプリ、Mac、Windows、Slack、Telegramに対応します。
mastra.ai
Mastra Factory is an open-source, agent-powered software delivery environment for taking software work from issue intake through planning, implementation, and pull-request review. It provides persistent coding agents, repository workspaces, and configurable lifecycle stages in a web application you can deploy on the Mastra Platform or your own infrastructure.
autonomyai.io
AutonomyAI is an AI-native product delivery platform that helps product managers and designers turn ideas into production-ready code changes in their existing codebase. Engineers review and approve the resulting pull requests before merge.
kilo.ai
Kilo Mobile extends Kilo’s AI coding workflow to iPhone, iPad, and Android. It lets developers launch cloud coding sessions, control supported CLI and VS Code sessions, and review GitHub pull requests from a mobile device.
