Welcome to the Kiro AI-Assisted Development Methodology!
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Last Update: 12 March 2026
A practical guide for solo developers and small Scrum teams (3–7 persons) using Kiro AI assistants to design, develop, and deploy microservices on AWS with Terraform and GitLab CI/CD. This collection includes 14 documents covering all aspects of the methodology.
📚 Table of Contents
- Kiro AI-Assisted Development Methodology
- 1. Overview & Principles
- 2. Team Modes: Solo Developer vs. Scrum Team
- 3. Git Repository Organization
- 4. Trunk-Based Branching Model
- 5. Kiro Configuration & Steering Rules
- 6. Kiro Hooks & Automation
- 7. Terraform Infrastructure Organization
- 8. GitLab CI/CD Pipeline Templates
- 9. Development Workflow: New Product
- 10. Development Workflow: Existing Code Integration
- 11. Copy-Paste File Hierarchy
- 12. Daily Operational Rhythm
- 13. Appendix: Quick Reference Card
Technology Stack
| Layer | Tool |
|---|---|
| AI Assistant | Kiro |
| Version Control | Git (GitLab) |
| Branching Model | Trunk-Based Development |
| Infrastructure | Terraform |
| Cloud | AWS |
| CI/CD | GitLab CI/CD |
| Container Runtime | AWS ECS Fargate or EKS |