and preserve complete architectural context for AI/developer reference.\n\n## Changes\n\n### Documentation Consolidation 🗂️\n- Simplified README.md by ~100 lines (25% reduction)\n- Removed redundant sections (project structure, configuration, API docs)\n- Added strategic cross-references between README.md and AGENTS.md\n- README.md now focused on user onboarding and basic usage\n- AGENTS.md maintained as complete technical reference\n\n### Architecture Decision Records ✅\n- Added comprehensive ADR directory with 9 decision records:\n * 0001-go-1.26.1-standard.md\n * 0002-chi-router.md\n * 0003-zerolog-logging.md (enhanced with Zap analysis)\n * 0004-interface-based-design.md\n * 0005-graceful-shutdown.md\n * 0006-configuration-management.md\n * 0007-opentelemetry-integration.md\n * 0008-bdd-testing.md\n * 0009-hybrid-testing-approach.md\n- Added adr/README.md with guidelines and template\n- Enhanced Zerolog ADR with detailed performance benchmarking vs Zap\n\n### Content Organization 📝\n- README.md: User-focused guide with quick start and basic examples\n- AGENTS.md: Developer/AI-focused complete technical reference\n- ADR directory: Architectural decision history and rationale\n\n## Impact\n- ✅ Better user onboarding experience\n- ✅ Preserved complete technical context for AI agents\n- ✅ Reduced maintenance burden through consolidation\n- ✅ Improved discoverability of advanced documentation\n- ✅ Established ADR process for future decisions\n\n## Related\n- Resolves documentation redundancy issues\n- Prepares for BDD implementation with clear context\n- Supports future Swagger integration decisions\n- Maintains project history for new contributors\n\nGenerated by Mistral Vibe.\nCo-Authored-By: Mistral Vibe <vibe@mistral.ai>
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Adopt BDD with Godog for behavioral testing
- Status: Accepted
- Deciders: Gabriel Radureau, AI Agent
- Date: 2026-04-05
Context and Problem Statement
We needed to add behavioral testing to DanceLessonsCoach that provides:
- User-centric test scenarios
- Living documentation
- Integration testing capabilities
- Clear communication between technical and non-technical stakeholders
- Complementary testing to unit tests
Decision Drivers
- Need for higher-level testing than unit tests
- Desire for living documentation that's always up-to-date
- Requirement for testing through public interfaces
- Need for clear behavioral specifications
- Desire for good test organization and readability
Considered Options
- Godog (Cucumber for Go) - BDD framework for Go
- Ginkgo - BDD-style testing framework
- Standard Go testing - Extended for integration tests
- Custom BDD framework - Build our own
Decision Outcome
Chosen option: "Godog" because it provides proper BDD support with Gherkin syntax, good Go integration, living documentation capabilities, and follows standard Cucumber patterns.
Pros and Cons of the Options
Godog
- Good, because proper BDD with Gherkin syntax
- Good, because living documentation
- Good, because good Go integration
- Good, because follows Cucumber standards
- Good, because clear separation of concerns
- Bad, because slightly more complex setup
- Bad, because slower execution than unit tests
Ginkgo
- Good, because good BDD-style testing
- Good, because fast execution
- Good, because good Go integration
- Bad, because not proper Gherkin/BDD
- Bad, because less clear for non-technical stakeholders
Standard Go testing
- Good, because no external dependencies
- Good, because familiar to Go developers
- Bad, because no BDD capabilities
- Bad, because no living documentation
- Bad, because less organized for behavioral tests
Custom BDD framework
- Good, because tailored to our needs
- Good, because no external dependencies
- Bad, because time-consuming to develop
- Bad, because need to maintain ourselves
- Bad, because likely less feature-rich
Implementation Structure
features/
├── greet.feature # Gherkin feature files
├── health.feature
└── readiness.feature
pkg/bdd/
├── steps/ # Step definitions
│ ├── greet_steps.go # Implementation of steps
│ ├── health_steps.go
│ └── readiness_steps.go
│
├── testserver/ # Test infrastructure
│ ├── server.go # Test server management
│ └── client.go # HTTP client for testing
│
└── suite.go # Test suite initialization
Example Feature File
# features/greet.feature
Feature: Greet Service
The greet service should return appropriate greetings
Scenario: Default greeting
Given the server is running
When I request the default greeting
Then the response should be "Hello world!"
Scenario: Personalized greeting
Given the server is running
When I request a greeting for "John"
Then the response should be "Hello John!"
Example Step Implementation
// pkg/bdd/steps/greet_steps.go
func InitializeGreetSteps(ctx *godog.ScenarioContext, client *testserver.Client) {
ctx.Step(`^the server is running$`, func() error {
return client.Start()
})
ctx.Step(`^I request the default greeting$`, func() error {
return client.Request("GET", "/api/v1/greet/", nil)
})
ctx.Step(`^I request a greeting for "([^"]*)"$`, func(name string) error {
return client.Request("GET", fmt.Sprintf("/api/v1/greet/%s", name), nil)
})
ctx.Step(`^the response should be "([^"]*)"$`, func(expected string) error {
return client.ExpectResponseBody(expected)
})
}
Black Box Testing Approach
The BDD implementation follows black box testing principles:
- External perspective: Tests interact only through public HTTP API
- No implementation knowledge: Tests don't know about internal components
- Behavior focus: Tests verify what the system does, not how it does it
- Interface testing: Tests verify the contract between system and users
Testing Strategy
Test Types
- Direct HTTP tests: Test raw API behavior
- SDK client tests: Test generated client integration (future)
Test Execution
# Run BDD tests
cd features
godog
# Run with specific format
godog -f progress
# Run specific feature
godog features/greet.feature
Links
Integration with CI/CD
# Example GitHub Actions step
- name: Run BDD tests
run: |
cd features
godog -f progress
Performance Considerations
- BDD tests are slower than unit tests (expected)
- Each scenario runs with fresh server instance for isolation
- Tests can be run in parallel where appropriate
- Focus on critical paths rather than exhaustive testing