Core Concept

Spec Driven Development

Write the specification first, then build to match. Use specs as the single source of truth for design, development, testing, and documentation—eliminating ambiguity and costly rework.

📋
The Core Insight

Most bugs and rework come from miscommunication—not coding mistakes. When the spec is the contract between teams, everyone builds the same thing. The spec becomes executable truth.

What is Spec Driven Development?

Spec Driven Development (SDD) is a methodology where you define the complete specification of a feature, API, or system before writing any implementation code. The spec serves as a contract that all parties agree to, and it drives design, development, testing, and documentation.

Key SDD Principles

1
Spec First, Code Second

Define what you're building before how you're building it. The spec is written and reviewed before implementation begins.

2
Single Source of Truth

The spec is authoritative. Code, tests, and docs are generated from or validated against the spec.

3
Executable Specifications

Specs aren't just documents—they generate tests, mocks, and validation. Specs run as part of CI/CD.

4
Contract-Based Collaboration

Teams agree on the spec contract. Frontend and backend can work in parallel once the contract is set.

Types of Specifications

API Specs

  • OpenAPI/Swagger: REST API contracts
  • GraphQL Schema: Query/mutation definitions
  • AsyncAPI: Event-driven API specs
  • Protocol Buffers: gRPC service definitions

Behavior Specs

  • Gherkin/Cucumber: Given-When-Then scenarios
  • User Stories: Acceptance criteria as specs
  • Design Tokens: UI/UX specifications
  • JSON Schema: Data structure contracts

The Spec Driven Workflow

Follow these steps to implement spec-first development in your team.

1

DEFINE the Specification

Write a complete, unambiguous specification before any implementation. Include inputs, outputs, edge cases, and error states.

What to specify:
  • • Data models and schemas (request/response shapes)
  • • Endpoints, methods, and parameters
  • • Authentication and authorization requirements
  • • Error codes and error response formats
  • • Rate limits, pagination, and constraints
  • • Example requests and responses
Example: OpenAPI Spec
paths:
  /users/{id}:
    get:
      summary: Get user by ID
      responses:
        200:
          description: User found
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/User'
        404:
          description: User not found
2

REVIEW and Agree

All stakeholders review the spec before implementation. This is where you catch misunderstandings—not in code review.

Who reviews:
  • Frontend developers: Can I build the UI with this data?
  • Backend developers: Can I implement this efficiently?
  • QA engineers: Can I test all edge cases?
  • Product managers: Does this match requirements?
  • API consumers: Is this what I need?

Pro tip: Use spec review tools like Stoplight, SwaggerHub, or GitHub PRs for OpenAPI specs. Track changes and discussions directly on the spec.

3

GENERATE Artifacts

Generate code, tests, mocks, and documentation directly from the spec. This ensures everything stays in sync.

Generate from specs:
  • • API client SDKs (TypeScript, Python, etc.)
  • • Server stubs and interfaces
  • • Mock servers for frontend development
  • • Request/response validation middleware
  • • API documentation (Redoc, Swagger UI)
Popular generators:
  • openapi-generator: Multi-language codegen
  • Prism: Mock servers from OpenAPI
  • orval: TypeScript client generation
  • graphql-codegen: GraphQL types & hooks
  • buf: Protobuf code generation
4

IMPLEMENT in Parallel

With the contract set, frontend and backend teams can work simultaneously. Frontend uses generated mocks; backend implements to the spec.

Parallel development:
Frontend Team
  • • Uses mock server from spec
  • • Uses generated TypeScript types
  • • Builds UI against the contract
  • • No waiting for backend
Backend Team
  • • Implements endpoints per spec
  • • Uses generated interfaces
  • • Validates responses against spec
  • • No waiting for frontend

Result: Teams unblocked. Integration works on first try because both sides built to the same contract.

5

VALIDATE Continuously

Run spec validation in CI/CD. Every API change must pass spec compliance tests. Drift is caught immediately.

CI/CD checks:
  • Spec linting: Is the spec valid and well-formed?
  • Breaking change detection: Does this break consumers?
  • Contract tests: Does the implementation match the spec?
  • Generated code freshness: Are generated files up to date?

Benefits of Spec Driven Development

🚀 Faster Development

  • Parallel frontend/backend development
  • Less rework from miscommunication
  • Auto-generated boilerplate code
  • Instant mock servers for testing

🎯 Better Quality

  • Catches design issues before coding
  • Contract tests prevent integration bugs
  • Docs always match implementation
  • Type safety from generated clients

🤝 Better Collaboration

  • Clear contract between teams
  • Design discussions happen on spec, not code
  • Non-technical stakeholders can review specs
  • Onboarding: read the spec, understand the system

📈 Easier Evolution

  • Breaking changes detected automatically
  • Version specs like code (Git)
  • Deprecation warnings in generated clients
  • Changelog generated from spec diffs

Applying SDD to Your Workflows

SDD + Research to Backlog

Apply spec thinking during the Research to Backlog flow.

1.Include API contract in PRD
2.Write acceptance criteria as Gherkin specs
3.Define data schemas before design
4.Review spec with engineering early

SDD + Backlog to Production

Apply spec validation during Backlog to Production flow.

1.Generate types and mocks before coding
2.Run contract tests in CI
3.Block merges that break spec compliance
4.Auto-generate API docs on deploy

How saaslete Tools Help

Spec Authoring

  • Stoplight Studio: Visual OpenAPI editor
  • Figma: Design specs and design tokens
  • Linear: Attach specs to tickets

Validation & Testing

  • Spectral: OpenAPI linting in CI
  • Dredd: API contract testing
  • Testing tools: Validate behavior specs

SDD vs Other Approaches

ApproachWhen Spec is WrittenPros/Cons
Spec Driven (Contract First)Before implementation✓ Parallel work, clear contract
✗ Upfront investment in spec
Code FirstGenerated from code after✓ Fast initial development
✗ Spec reflects code quirks
TDD (Test Driven)Tests written before code✓ High test coverage
✗ Tests ≠ contracts
BDD (Behavior Driven)Behavior specs before code✓ Business-readable specs
✗ Focused on behavior, not data

💡 Pro Tip: Combine Them

Use Spec Driven Development for API contracts between services. Use BDD for user-facing behavior. Use TDD for unit-level implementation. They complement each other.

Getting Started with SDD

1

Start with One API

Pick a new API or feature. Write the OpenAPI spec first. Get buy-in by showing how it enables parallel development and catches issues early.

2

Set Up Code Generation

Add openapi-generator or similar to your build. Generate TypeScript types for frontend, interfaces for backend. Make it part of the standard workflow.

3

Add Spec Validation to CI

Use Spectral for linting, Dredd or Prism for contract testing. Block PRs that break the spec. Make compliance automatic, not optional.

4

Make Spec Review a Gate

Require spec review before implementation begins. Create a lightweight process: spec PR → review → approve → then start coding.