Kiro Specs: Stop Improvising and Start Planning Features with AI
Kiro Specs is one of the most powerful features in Kiro IDE, yet most developers ignore it because it sounds like bureaucracy. Spoiler: it’s not. It’s the difference between vibe coding and structured AI-assisted software engineering.
Full-stack developer, GenAI engineer, and open-source builder.
If you’ve ever started coding a feature thinking “I already know what needs to be done” and ended up rewriting half of it midway through — this is for you.
Kiro Specs is one of the most powerful features in Kiro IDE, yet most developers ignore it because it sounds like bureaucracy. Spoiler: it’s not. It’s the difference between vibe coding and structured AI-assisted software engineering.
What is a Spec in Kiro?
A Spec is a structured artifact that transforms a high-level idea into a detailed implementation plan with full traceability from requirements to production code.
Whenever you create a Spec, Kiro automatically generates three files:
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.kiro/specs/my-feature/├── requirements.md # What the system should do├── design.md # How the system will do it└── tasks.md # Executable implementation tasks
These are not static documents meant to collect dust. They are living artifacts that the AI continuously uses to generate consistent, traceable, and production-ready code.
The Two Workflows: Where Do You Start?
Kiro provides two development flows depending on your starting point.
Requirements-First Workflow
The most common approach. You use it when you know what you want to build, but the implementation details are still flexible.
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Requirements → Design → Tasks → Code
Best for:
- Existing architecture diagrams
- Strict non-functional requirements
- Compliance or latency-sensitive systems
- Migrating designs from other platforms
EARS Notation: Requirements AI Can Actually Understand
The
requirements.md file uses EARS (Easy Approach to Requirements Syntax), an industry-standard way of writing unambiguous software requirements.The structure is simple:
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WHEN [condition or event]THE SYSTEM SHALL [expected behavior]
Example:
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## Requirement 1: User RegistrationWHEN a user submits the registration form with valid credentialsTHE SYSTEM SHALL create a new account and send a verification email## Requirement 2: Failed Login ProtectionWHEN a user fails login 5 consecutive timesTHE SYSTEM SHALL temporarily lock the account for 15 minutes
Why does this matter?
Because every EARS requirement is:
- Unambiguous
- Testable
- Traceable
- Directly convertible into test cases
design.md: AI-Generated System Architecture
Once requirements are approved, Kiro generates the system design automatically, including:
- Architecture components
- Sequence diagrams
- Data models
- API interfaces
- Error handling strategies
- Testing approaches
Example:
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## Authentication System Architecture### Components- AuthController- UserService- TokenService- EmailService### Login FlowUser → AuthController: POST /auth/loginAuthController → UserService: validateCredentials()UserService → Database: findUserByEmail()TokenService → AuthController: generateJWT()
This creates a clear implementation blueprint before any code is generated.
tasks.md: Your AI-Powered Implementation Roadmap
The final artifact is the executable task list.
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- [ ] Create users table migration- [ ] Implement UserService- [ ] Implement JWT authentication- [ ] Create AuthController routes- [ ] Add integration tests
You can execute tasks individually or all at once. Kiro continuously updates progress while implementing.
Full Workflow: From Prompt to Production Code
Step 1 — Create the Spec
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Spec: Build an authentication system with email registration,login, logout, password reset, brute-force protection,and email validation.
Step 2 — Choose the Workflow
Select:
- Feature
- Requirements-First
Step 3 — Refine Requirements
Example:
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Add Google OAuth authentication support.
Step 4 — Review the Design
Example:
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Replace in-memory session storage with Redisto support horizontal scaling.
Step 5 — Execute Tasks
Kiro generates and implements the tasks while you review and validate.
When Should You Use Specs?
Situation | Use |
|---|---|
Complex feature with multiple services | Specs |
Expensive regression risks | Specs |
Team documentation needed | Specs |
Rapid experimentation | Vibe Coding |
Quick prototype | Vibe Coding |
Small one-line changes | Vibe Coding |
Tips to Get Maximum Value
1. Iterate on requirements before design
The strength of Requirements-First development is defining the what before committing to the how.
2. Import existing PRDs or Jira tickets
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#product-requirements.mdGenerate a spec from this document.
3. Use architecture diagrams
Kiro can interpret diagrams from draw.io, whiteboards, or screenshots in Design-First workflows.
4. Specs are living artifacts
If requirements change, update
requirements.md and refine the design instead of starting over.
Final Thoughts
Kiro Specs is not bureaucracy.
It’s a structured AI engineering workflow that transforms AI from an improvising assistant into a predictable software engineering partner.
Instead of asking an AI agent to “figure it out,” you guide it with approved requirements, validated architecture, and executable implementation tasks.
The next time you start building a non-trivial feature, try creating a Spec before writing the first line of code.
The time you invest in planning comes back multiplied in reduced debugging, clearer architecture, and maintainable systems.
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