KIRO
AIAn agentic IDE that guides spec-driven development from prototype to production with integrated AI assistants and code generation.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
KIRO
AI
An agentic IDE that guides spec-driven development from prototype to production with integrated AI assistants and code generation.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
About KIRO
Kiro is an agentic IDE and developer-focused assistant that combines spec-driven workflows, conversational agents, and IDE integrations to accelerate building, testing, and deploying software. It lets developers write natural-language specifications that the system uses to generate production-ready code, tests, and infrastructure hints, while providing an interactive chat/agent interface for steering, iteration, and context-aware operations. Kiro integrates as a desktop IDE (based on VS Code), supports file system and Git operations, and provides automation hooks for CI/CD and deployable artifacts. Its unique value is the combination of specification-first engineering with an autonomous agent workflow that attempts to carry work from design and prototypes all the way to production-ready outputs.
Key Features
Spec-Driven Development: Allows developers to author human-readable specifications that Kiro uses to generate architecture, scaffolding, implementation code, and test pipelines, ensuring alignment between requirements and produced artifacts.
Agentic Conversational Assistant: An integrated chat/agent that performs multi-step developer tasks (create components, refactor, write tests, update docs) while keeping context of the project and applying steering rules and hooks.
VS Code-Based Integration & Extensions: Operates as a desktop IDE (built on VS Code) with an extension that can perform filesystem operations, open files, run commands, and interact with the user project in-place to produce runnable code.
Context & Session Management: Captures conversational context, conversation IDs, and project history (with features and discussions around session recording), enabling continuity across developer sessions and ability to reference prior design decisions.
Production Output & Deployment Hooks: Generates production-ready code, testing pipelines, and infrastructure hints; supports hooks for CI/CD and can commit generated specs and code to Git repositories.
Interactive Prototyping to Production Workflow: Guides users through requirements gathering, design, prototyping, implementation planning and automated generation of UI components and backend code to shorten build cycles.
Authentication & Multi-Platform Packaging: Supports sign-in/login flows (GitHub/Google) and is packaged for multiple OSes with community packaging (e.g., .deb, Nix flake) for easier installation across Linux distributions.
Extensibility & Integration Points: Offers extension points and integrations (e.g., community Raycast controls) and supports custom prompts, hooks, and agent rules to adapt to team workflows and security policies.
Spec-based workflow: define systems/components in natural language and generate implementation plans
VS Code integration: Kiro Agent extension that surfaces assistant, specs, and operations inside VS Code
Autonomous/agentic modes: steering, autonomy, and conversational context to drive code generation
File-system operations: read/write/modify project files as part of generated changes
Infrastructure and deployment guidance: generate infra config and test pipelines alongside code
Authentication & onboarding: sign-in flows (Google, GitHub) with browser-based auth
Desktop packaging: official Linux .deb and community Nix flake for installation
Session and conversation management: chat context, specs, hooks, and requests for session recording/export
Git integration workflows: ability to export or commit session artifacts/specs alongside code
Use Cases
Prototype to Production: Rapidly transform a specification and prototype UI into working application code, tests, and deployment-ready artifacts, reducing manual scaffolding and boilerplate work.
Spec-First Feature Implementation: Define a feature in natural language and let Kiro generate component stubs, business logic, and test cases so engineers can focus on review and refinement instead of initial implementation.
AI Pair Programming and Refactoring: Use the conversational agent to iteratively refactor code, modernize APIs, or translate legacy modules while preserving project context and committing changes back to Git.
Automated Test & CI Pipeline Generation: Generate unit and integration tests from specs and scaffold CI/CD pipelines or deployment hints to accelerate reliable delivery and verification.
Onboarding and Documentation Capture: Capture design decisions and conversation history into commitable artifacts and spec documents so new teammates can understand rationale and system behavior.
Student and Hackathon Development: Enable learners to design, build, and iterate full-stack projects quickly within the IDE using constrained free quotas or higher-tier interaction allowances for heavier work.
Integration & Tooling Orchestration: Use Kiro's extensions and hooks to connect with tooling such as Raycast, package managers, or platform-specific installers to streamline developer workflows and environment setup.
Rapid prototyping: turn requirements/specs into UI prototypes and scaffolded code
Prototype-to-production: iterate generated code and tests to reach deployable state
Student projects and hackathons: design, build, and test feature flows with quota-based tiers
Spec and docs generation: produce living specs, design docs, and test pipelines from conversations
Developer augmentation: file edits, refactors, and infra suggestions driven by conversational prompts
CI/test scaffolding: generate test pipelines and deployment artifacts alongside implementation
Screenshots
+
+
+
+
+
