Kiro AI Review: AI-Powered Coding Assistant (2026)
Kiro is an agentic IDE from AWS built on Code OSS (VS Code foundation) with Spec-Driven Development (SDD) methodology. Unlike “vibe coding” tools, Kiro enforces structured workflows requiring specifications and architectural design before implementation.
Key Features
Spec-Driven Development (Three-Phase):
- Requirements (requirements.md): User stories, acceptance criteria, EARS notation
- Design (design.md): Data flow diagrams, schema definitions, API specifications
- Tasks (tasks.md): Dependency-aware implementation steps with verification
Dual Modes:
- Vibe Mode: Chat/inline command for rapid iteration
- Spec Mode: Structured specification workflow for complex features
Powers (Dynamic Context):
- MCP-based modules activating via keywords (e.g., “deploy” → Netlify Power)
- Next.js, Nuxt, Svelte, Supabase, PlanetScale, CockroachDB, Turso support
- Agent Hooks: Event-driven automation (File Save → run test, update docs)
Kiro CLI:
- Terminal-native with ~/.kiro/ steering file sync
- Natural language shell commands
- Error recovery via stderr analysis
Model Support:
- Claude (via Bedrock): Haiku 4.5 (0.4x), Sonnet 4.0/4.5 (1.3x), Opus 4.5 (2.2x)
- No BYOK: Tightly coupled to Anthropic via AWS Bedrock
Economics:
- Credit System: Metered to cent (0.01 credits)
- Pro: $20/mo, 1,000 credits, $0.04/credit overage
- Power: $200/mo, 10,000 credits (AI-native devs)
Best For
- Enterprise governance (mandatory spec review gates)
- AWS-centric organizations
- Teams requiring structured engineering over rapid prototyping
- Projects where “measure twice, cut once” prevents technical debt
Avoid For
- Developers prioritizing speed over structure
- BYOK advocates (no OpenAI, Gemini support)
- Teams wanting Claude以外的模型
- Rapid prototyping/vibe coding workflows
Related Tools
- Cursor: Speed and vibe coding leader
- Windsurf: Deep context without explicit specs
- Firebase Studio: Google’s cloud IDE alternative