Agentic AI development from prototype to production with spec-driven development, advanced steering, and custom agents.
Kiro is an agentic AI development platform that helps developers go from prototype to production with spec-driven development. It provides a CLI and IDE integration for natural language to structured requirements, architectural designs, and discrete task implementation. Features include advanced context management, agent hooks for automation, native MCP support, and enterprise-grade security. Kiro supports multimodal chat, autopilot mode, and integrates with VS Code. It is trusted by engineers worldwide for accelerating development and improving code quality.
Key Features
check_circleSpec-driven development
check_circleNatural language to structured requirements
check_circleArchitectural design generation
check_circleDiscrete task implementation
check_circleAgent hooks for automation
check_circleMultimodal chat (images, text)
check_circleAdvanced context management
check_circleNative MCP support
check_circleAutopilot mode
check_circleCode diffs and approval
check_circleIntelligent error diagnostics
check_circleGit commit message generation
check_circleVS Code compatibility
check_circleEnterprise-grade security and privacy
check_circlePer prompt credit usage tracking
Use Cases
lightbulbStartup CTOs use Kiro to develop business-critical features in-house, reducing time to market from weeks to days by leveraging spec-driven development and autonomous agents.
lightbulbCloud architects designing AWS and Terraform solutions use Kiro to accelerate feature development, cutting time to customer value from weeks to days with structured specs and automated code generation.
lightbulbSecurity engineers build secure applications from scratch in two days by sharing requirements with Kiro, which automatically incorporates encryption and security best practices without additional prompting.
lightbulbSenior data scientists automate unit test generation and documentation updates using Kiro's agent hooks, ensuring code quality without manual effort.
lightbulbOpen source developers create games and applications quickly by describing logic in natural language, letting Kiro handle implementation and enabling rapid prototyping.
lightbulbSoftware engineers iterate on complex features across large codebases using Kiro's advanced context management and spec-driven approach, reducing bugs and improving code quality.
lightbulbSolution architects use Kiro to draft Terraform modules and container setups, staying in a continuous learning loop while tinkering and sharing knowledge with the community.
lightbulbLead engineers leverage Kiro's autopilot mode to autonomously run large tasks without step-by-step instructions, maintaining control while scaling productivity.
AI codingspec-driven developmentagentic AICLIIDE integrationcode generationautomationdeveloper toolsMCP supportmultimodal
