Augment Code vs Kiro
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Augment Code if you want ai coding agent built for large, complex enterprise codebases (Supervised agent, subscription); choose Kiro if you want aws's spec-driven agentic ide for structured software engineering (Supervised agent, freemium).
| Augment Code | Kiro | |
|---|---|---|
| What it is | AI coding agent built for large, complex enterprise codebases | AWS's spec-driven agentic IDE for structured software engineering |
| Type | agent | product-with-agents |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | subscription · Plans from ~$20/mo; Enterprise custom (reported) | freemium · $0 (Free, 50 credits); Pro $20/mo |
| Best for | enterprise, mid-market, developers | developers, mid-market, enterprise |
| Deployment | saas | saas, api |
| Modalities | text, code | text, code |
| Models | model-agnostic | claude, open-source, model-agnostic |
| Protocols | mcp, function-calling, rest-api | mcp, function-calling |
| Integrations | VS Code, JetBrains, GitHub, GitLab, Slack | Amazon Bedrock, AWS IAM Identity Center, MCP servers, Amazon Q Developer (migration) |
| Capabilities | 3 documented | 4 documented |
Augment Code
- +Context engine designed for very large, multi-repo codebases
- +Agent mode handles multi-file changes and refactors with system-wide awareness
- +Enterprise security: SOC 2 Type II, ISO 42001, SSO/SCIM
- -Strongest value is at enterprise scale; overkill for small projects
- -Enterprise pricing is custom and reportedly high
Kiro
- +Spec-first workflow makes AI output more reviewable, auditable, and team-ownable than free-form prompting
- +Model-flexible via Amazon Bedrock (Claude, DeepSeek, MiniMax, open-weight) with task-based routing
- +Backed by AWS with enterprise auth (SAML/SCIM SSO) and a migration path from Amazon Q Developer
- -Credit-based usage can get expensive and unpredictable at scale, and unused credits do not roll over
- -The requirements/design/tasks process adds overhead versus lightweight assistants for quick edits
Which should you choose?
Augment Code is ai coding agent built for large, complex enterprise codebases, best for enterprise, mid-market, developers. Kiro is aws's spec-driven agentic ide for structured software engineering, best for developers, mid-market, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Augment Code and Kiro profiles. Open either profile to review its evidence and last-reviewed date.