Overview
Kiro is an AI IDE for developers, with the core concept of 'agentic engineering' — shifting from AI coding to agentic engineering. It deeply integrates Spec-driven development, transforming prompts into executable specifications, building in large codebases through parallel agents, and using property-based testing to catch bugs that unit tests miss.
Key Features
- Spec-Driven Development: AI converts prompts into requirement specifications, architecture designs, and task sequencing. After user confirmation, parallel agents implement them, ensuring code conforms to specifications.
- Parallel Agents: Supports multiple AI agents working in parallel, collaborating on development in large codebases, and learning from each session.
- Property-Based Testing: Uses property-based testing to catch edge cases missed by unit tests, preventing bugs in production.
- Built-in Security Review: Automatically performs security scanning after code generation.
- VS Code Compatible: Built on VS Code, compatible with its plugin ecosystem.
Use Cases
- Large codebase development
- Well-defined specification projects
- Enterprise-level backend service development
- Security-sensitive application development
- Team collaboration development
Pros
- Spec-driven development prevents AI from blindly generating code
- Parallel agents boost development efficiency in large projects
- Property-based testing catches deep bugs
- Built-in security review, enterprise-friendly
Pricing
Free to use, and upon first registration for a paid plan (using social login or Builder ID), you receive a $20 credit.
Summary
Kiro upgrades from AI coding to agentic engineering, helping developers efficiently build reliable code in large codebases through Spec-driven development, parallel agents, and property-based testing.
Version History
- GPT-5.6 登陆 Kiro，为开发者提升性价比 (2026-08-24): The GPT-5.6 model family is now available on the software development agent Kiro, featuring three models: Sol, Terra, and Luna. In the Terminal-Bench 2.1 evaluation, GPT-5.6 Terra reduced task completion costs within Kiro by approximately 82%. This update, optimized in collaboration between OpenAI and AWS, aims to help developers produce higher-quality code with fewer iterations and greater token value.