008-intelligent-content-population-engine.md•48.8 kB
---
id: 008-intelligent-content-population-engine
title: 'ADR-008: Intelligent Content Population Engine'
sidebar_label: 'ADR-8: Intelligent Content Population Engine'
sidebar_position: 8
---
# ADR-008: Intelligent Content Population Engine for Diataxis Documentation
---
id: 008-intelligent-content-population-engine
title: 'ADR-008: Intelligent Content Population Engine'
sidebar_label: 'ADR-8: Intelligent Content Population Engine'
sidebar_position: 8
---
## Status
Accepted
## Context
DocuMCP currently creates excellent Diataxis-compliant documentation structures through ADR-004 and ADR-006, but produces only skeleton content with placeholder text. This creates a significant gap between the framework's potential and delivered value, requiring users to manually populate all documentation content despite having comprehensive repository analysis data available.
The current `setup-structure` tool (from ADR-006) provides:
- ✅ Professional Diataxis directory structure
- ✅ SSG-specific configuration and frontmatter
- ✅ Basic template content explaining Diataxis categories
- ❌ **Missing**: Project-specific content analysis and intelligent population
- ❌ **Missing**: Repository analysis integration for content suggestions
- ❌ **Missing**: Technology-specific documentation generation
**Current User Journey:**
1. Repository analysis identifies TypeScript project with Express.js, PostgreSQL, Jest tests
2. Diataxis structure created with generic placeholder content
3. User must manually research and write all tutorials, how-to guides, reference docs, and explanations
4. **Result**: 8-20 hours of manual documentation work despite intelligent analysis
**Target User Journey:**
1. Repository analysis identifies project characteristics and technology stack
2. Intelligent content population generates project-specific documentation
3. User reviews and refines 60-80% pre-populated, contextually relevant content
4. **Result**: 1-2 hours of refinement work with professional-quality starting point
Key gaps identified:
- Repository analysis data (125 files, TypeScript/JavaScript ecosystem, test infrastructure) not leveraged for content generation
- Extensive technology detection capabilities underutilized for creating relevant examples
- Diataxis framework implementation incomplete without intelligent content planning (ADR-004, lines 153-192)
- Competitive disadvantage: users get empty templates instead of intelligent assistance
## Decision
We will implement an Intelligent Content Population Engine that bridges repository analysis with Diataxis content generation, creating the missing layer between structural generation and user-ready documentation.
### Architecture Overview:
#### 1. Content Intelligence Engine
**Purpose**: Transform repository analysis into structured content plans
**Core Capabilities**:
- Project characteristic analysis (technology stack, architecture patterns, API surfaces)
- User journey mapping to appropriate Diataxis categories
- Content gap identification and priority assignment
- Technology-specific example and code snippet generation
#### 2. Project-Aware Content Generators
**Purpose**: Create contextually relevant content for each Diataxis category
**Scope**: Four specialized generators aligned with Diataxis framework:
##### Tutorial Content Generator
- **Getting Started**: Framework-specific installation, setup, and first success
- **Feature Tutorials**: Based on detected APIs, key dependencies, and project complexity
- **Integration Tutorials**: For detected services, databases, and external dependencies
##### How-To Guide Generator
- **Common Tasks**: Derived from project type and technology stack
- **Troubleshooting**: Based on detected tools, frameworks, and common pain points
- **Deployment Guides**: Technology-specific deployment patterns and best practices
##### Reference Documentation Generator
- **API Documentation**: Auto-generate from detected API surfaces and endpoints
- **Configuration Reference**: Based on identified config files and environment variables
- **CLI Reference**: For detected command-line tools and scripts
##### Explanation Content Generator
- **Architecture Overview**: Based on detected patterns, dependencies, and project structure
- **Design Decisions**: Technology choices and their implications
- **Concept Explanations**: Framework and domain-specific concepts
#### 3. Repository Analysis Integration Layer
**Purpose**: Bridge analysis data with content generation
**Integration Points**:
- Language ecosystem analysis → Technology-specific content
- Dependency analysis → Framework integration guides
- Project structure analysis → Architecture documentation
- Complexity assessment → Content depth and sophistication level
### Implementation Architecture:
```typescript
interface ContentPopulationEngine {
// Core engine interface
populateContent(
analysisId: string,
docsPath: string,
options: PopulationOptions
): Promise<PopulationResult>;
// Content planning
generateContentPlan(analysis: RepositoryAnalysis): ContentPlan;
identifyContentGaps(existing: ExistingContent, plan: ContentPlan): ContentGap[];
// Content generation
generateTutorialContent(plan: TutorialPlan, context: ProjectContext): TutorialContent;
generateHowToContent(plan: HowToPlan, context: ProjectContext): HowToContent;
generateReferenceContent(plan: ReferencePlan, context: ProjectContext): ReferenceContent;
generateExplanationContent(plan: ExplanationPlan, context: ProjectContext): ExplanationContent;
}
interface PopulationOptions {
level: 'basic' | 'comprehensive' | 'intelligent';
includeCodeExamples: boolean;
projectSpecific: boolean;
preserveExisting: boolean;
customizationProfile?: CustomizationProfile;
}
interface ContentPlan {
tutorials: TutorialSuggestion[];
howToGuides: HowToSuggestion[];
reference: ReferenceSuggestion[];
explanation: ExplanationSuggestion[];
crossReferences: ContentRelationship[];
estimatedEffort: EffortEstimate;
}
interface ProjectContext {
primaryLanguage: string;
frameworks: Framework[];
architecture: ArchitecturePattern;
apiSurfaces: APIAnalysis[];
deploymentTargets: DeploymentTarget[];
testingFrameworks: TestingFramework[];
dependencies: DependencyAnalysis;
}
```
### Content Generation Algorithms:
#### Tutorial Generation Algorithm
```typescript
function generateTutorials(analysis: RepositoryAnalysis): TutorialSuggestion[] {
const suggestions: TutorialSuggestion[] = [];
// Always include getting started
suggestions.push({
title: `Getting Started with ${analysis.metadata.projectName}`,
description: `Learn ${analysis.recommendations.primaryLanguage} development with ${analysis.metadata.projectName}`,
priority: 'high',
sections: generateGettingStartedSections(analysis),
codeExamples: generateTechnologySpecificExamples(analysis.dependencies.ecosystem)
});
// Framework-specific tutorials
if (analysis.dependencies.packages.includes('express')) {
suggestions.push({
title: 'Building REST APIs with Express.js',
description: 'Complete guide to creating RESTful services',
priority: 'high',
sections: generateExpressTutorialSections(analysis)
});
}
// Database integration tutorials
const dbDeps = detectDatabaseDependencies(analysis.dependencies.packages);
dbDeps.forEach(db => {
suggestions.push({
title: `Database Integration with ${db.name}`,
description: `Connect and interact with ${db.name} databases`,
priority: 'medium',
sections: generateDatabaseTutorialSections(db, analysis)
});
});
return suggestions;
}
```
#### Reference Generation Algorithm
```typescript
function generateReference(analysis: RepositoryAnalysis): ReferenceSuggestion[] {
const suggestions: ReferenceSuggestion[] = [];
// API documentation from detected endpoints
const apiSurfaces = detectAPIEndpoints(analysis);
if (apiSurfaces.length > 0) {
suggestions.push({
title: 'API Reference',
description: 'Complete API endpoint documentation',
content: generateAPIDocumentation(apiSurfaces),
format: 'openapi-spec'
});
}
// Configuration reference from detected config files
const configFiles = detectConfigurationFiles(analysis);
configFiles.forEach(config => {
suggestions.push({
title: `${config.type} Configuration`,
description: `Configuration options for ${config.name}`,
content: generateConfigurationReference(config),
format: 'configuration-table'
});
});
// CLI reference from detected scripts
const cliCommands = detectCLICommands(analysis);
if (cliCommands.length > 0) {
suggestions.push({
title: 'Command Line Interface',
description: 'Available commands and options',
content: generateCLIReference(cliCommands),
format: 'cli-documentation'
});
}
return suggestions;
}
```
### Technology-Specific Content Templates:
#### JavaScript/TypeScript Ecosystem
```typescript
const JAVASCRIPT_TEMPLATES = {
gettingStarted: {
prerequisites: ['Node.js 18+', 'npm or yarn', 'Git'],
installationSteps: [
'Clone the repository',
'Install dependencies with npm install',
'Copy environment variables',
'Run development server'
],
verificationSteps: [
'Check server starts successfully',
'Access application in browser',
'Run test suite to verify setup'
]
},
expressAPI: {
sections: [
'Project Structure Overview',
'Creating Your First Route',
'Middleware Configuration',
'Database Integration',
'Error Handling',
'Testing Your API'
],
codeExamples: generateExpressCodeExamples
},
testingGuides: {
jest: generateJestHowToGuides,
cypress: generateCypressHowToGuides,
playwright: generatePlaywrightHowToGuides
}
};
```
#### Multi-Language Framework Support
##### JavaScript/TypeScript Ecosystem
```typescript
const JAVASCRIPT_TEMPLATES = {
gettingStarted: {
prerequisites: ['Node.js 18+', 'npm or yarn', 'Git'],
installationSteps: [
'Clone the repository',
'Install dependencies with npm install',
'Copy environment variables',
'Run development server'
],
verificationSteps: [
'Check server starts successfully',
'Access application in browser',
'Run test suite to verify setup'
]
},
frameworks: {
express: {
tutorials: ['REST API Development', 'Middleware Configuration', 'Database Integration'],
howToGuides: ['Performance Optimization', 'Error Handling', 'Authentication Setup'],
reference: ['Route Configuration', 'Middleware Reference', 'Configuration Options'],
explanation: ['Express Architecture', 'Middleware Pattern', 'Async Handling']
},
react: {
tutorials: ['Component Development', 'State Management', 'React Router'],
howToGuides: ['Performance Optimization', 'Testing Components', 'Deployment'],
reference: ['Component API', 'Hooks Reference', 'Build Configuration'],
explanation: ['Component Architecture', 'State Flow', 'Rendering Lifecycle']
},
nestjs: {
tutorials: ['Dependency Injection', 'Controllers and Services', 'Database Integration'],
howToGuides: ['Custom Decorators', 'Microservices', 'GraphQL Integration'],
reference: ['Decorator Reference', 'Module System', 'Configuration'],
explanation: ['DI Architecture', 'Module Design', 'Enterprise Patterns']
}
}
};
```
##### Python Ecosystem Support
```typescript
const PYTHON_TEMPLATES = {
gettingStarted: {
prerequisites: ['Python 3.8+', 'pip or poetry', 'Virtual environment'],
installationSteps: [
'Create virtual environment',
'Activate virtual environment',
'Install dependencies from requirements.txt/pyproject.toml',
'Set up environment variables',
'Run development server'
],
verificationSteps: [
'Check application starts successfully',
'Run test suite with pytest',
'Verify API endpoints respond correctly'
]
},
frameworks: {
django: {
tutorials: [
'Django Project Setup and Configuration',
'Models and Database Integration',
'Views and URL Routing',
'Django REST Framework APIs',
'User Authentication and Permissions'
],
howToGuides: [
'Deploy Django to Production',
'Optimize Database Queries',
'Implement Caching Strategies',
'Handle File Uploads',
'Configure CORS and Security'
],
reference: [
'Django Settings Reference',
'Model Field Types',
'URL Configuration Patterns',
'Middleware Reference',
'Management Commands'
],
explanation: [
'Django MTV Architecture',
'ORM Design Decisions',
'Security Model',
'Scalability Patterns'
]
},
fastapi: {
tutorials: [
'FastAPI Application Structure',
'Pydantic Models and Validation',
'Dependency Injection System',
'Database Integration with SQLAlchemy',
'Authentication and Security'
],
howToGuides: [
'Optimize FastAPI Performance',
'Implement Background Tasks',
'Handle File Processing',
'Set up Monitoring and Logging',
'Deploy with Docker and Kubernetes'
],
reference: [
'FastAPI Decorators Reference',
'Pydantic Model Configuration',
'Dependency System Reference',
'Security Utilities',
'Testing Utilities'
],
explanation: [
'ASGI vs WSGI Architecture',
'Type Hints and Validation',
'Dependency Injection Benefits',
'Performance Characteristics'
]
},
flask: {
tutorials: [
'Flask Application Factory Pattern',
'Blueprint Organization',
'Database Integration with SQLAlchemy',
'User Session Management',
'RESTful API Development'
],
howToGuides: [
'Structure Large Flask Applications',
'Implement Rate Limiting',
'Handle Background Jobs',
'Configure Production Deployment',
'Debug Flask Applications'
],
reference: [
'Flask Configuration Reference',
'Request and Response Objects',
'Template Engine Reference',
'Extension Integration',
'CLI Commands'
],
explanation: [
'Flask Philosophy and Design',
'WSGI Application Structure',
'Extension Ecosystem',
'Microframework Benefits'
]
}
}
};
class PythonContentGenerator implements FrameworkContentGenerator {
detectFramework(analysis: RepositoryAnalysis): Framework[] {
const frameworks: Framework[] = [];
// Django detection
if (this.hasDependency(analysis, 'django') ||
this.hasFile(analysis, 'manage.py') ||
this.hasFile(analysis, 'settings.py')) {
frameworks.push({
name: 'django',
version: this.extractVersion(analysis, 'django'),
configFiles: ['settings.py', 'urls.py', 'wsgi.py'],
appStructure: this.analyzeDjangoApps(analysis)
});
}
// FastAPI detection
if (this.hasDependency(analysis, 'fastapi') ||
this.hasImport(analysis, 'from fastapi import')) {
frameworks.push({
name: 'fastapi',
version: this.extractVersion(analysis, 'fastapi'),
configFiles: this.getFastAPIConfigFiles(analysis),
routerStructure: this.analyzeFastAPIRouters(analysis)
});
}
// Flask detection
if (this.hasDependency(analysis, 'flask') ||
this.hasImport(analysis, 'from flask import')) {
frameworks.push({
name: 'flask',
version: this.extractVersion(analysis, 'flask'),
configFiles: this.getFlaskConfigFiles(analysis),
blueprintStructure: this.analyzeFlaskBlueprints(analysis)
});
}
return frameworks;
}
generateFrameworkContent(framework: Framework, context: ProjectContext): FrameworkContent {
const templates = PYTHON_TEMPLATES.frameworks[framework.name];
return {
tutorials: templates.tutorials.map(title => ({
title: `${title} for ${context.projectName}`,
content: this.generatePythonTutorialContent(framework, title, context),
codeExamples: this.generatePythonCodeExamples(framework, title, context)
})),
howToGuides: templates.howToGuides.map(title => ({
title,
content: this.generatePythonHowToContent(framework, title, context),
tasks: this.generatePythonTasks(framework, title, context)
})),
reference: templates.reference.map(title => ({
title,
content: this.generatePythonReferenceContent(framework, title, context)
})),
explanation: templates.explanation.map(title => ({
title,
content: this.generatePythonExplanationContent(framework, title, context)
}))
};
}
}
```
#### Framework-Specific Content Generation
```typescript
interface FrameworkContentGenerator {
detectFramework(dependencies: string[]): Framework | null;
generateFrameworkContent(framework: Framework, context: ProjectContext): FrameworkContent;
}
const FRAMEWORK_GENERATORS: Record<string, FrameworkContentGenerator> = {
// JavaScript/TypeScript frameworks
'express': new ExpressContentGenerator(),
'react': new ReactContentGenerator(),
'vue': new VueContentGenerator(),
'angular': new AngularContentGenerator(),
'nestjs': new NestJSContentGenerator(),
'fastify': new FastifyContentGenerator(),
// Python frameworks
'django': new DjangoContentGenerator(),
'fastapi': new FastAPIContentGenerator(),
'flask': new FlaskContentGenerator(),
'pyramid': new PyramidContentGenerator(),
// Future language support
'spring-boot': new SpringBootContentGenerator(), // Java
'gin': new GinContentGenerator(), // Go
'actix-web': new ActixContentGenerator() // Rust
};
```
## Alternatives Considered
### Manual Content Creation Only
- **Pros**: Simple implementation, full user control, no AI dependency
- **Cons**: Massive user effort, inconsistent quality, underutilizes analysis capabilities
- **Decision**: Rejected - provides minimal value over generic templates
### AI-Generated Content via External APIs
- **Pros**: Advanced content generation, natural language processing
- **Cons**: External dependencies, costs, inconsistent quality, latency issues
- **Decision**: Rejected for initial version - adds complexity without guaranteed quality
### Community-Contributed Content Templates
- **Pros**: Diverse perspectives, battle-tested content, community engagement
- **Cons**: Quality control challenges, maintenance overhead, incomplete coverage
- **Decision**: Considered for future enhancement - focus on algorithmic generation first
### Generic Template Expansion
- **Pros**: Easier implementation, consistent structure
- **Cons**: Still requires significant manual work, doesn't leverage analysis intelligence
- **Decision**: Rejected - doesn't address core value proposition gap
## Consequences
### Positive
- **Dramatic User Value Increase**: 60-80% content pre-population vs. empty templates
- **Competitive Differentiation**: Only documentation tool with intelligent content generation
- **Analysis ROI**: Comprehensive repository analysis finally delivers proportional value
- **Framework Completion**: Fulfills ADR-004 vision for content planning intelligence
- **User Experience**: Transform from "structure generator" to "documentation assistant"
### Negative
- **Implementation Complexity**: Significant engineering effort for content generation algorithms
- **Content Quality Risk**: Generated content may require refinement for accuracy
- **Technology Coverage**: Initial version limited to well-known frameworks and patterns
- **Maintenance Overhead**: Content templates require updates as technologies evolve
### Risks and Mitigations
- **Quality Control**: Implement content validation and user review workflows
- **Technology Coverage**: Start with most common frameworks, expand based on usage
- **Algorithm Accuracy**: Validate generated content against project reality
- **User Expectations**: Clear communication about generated vs. curated content
## Implementation Details
### MCP Tool Interface
```typescript
// New tool: populate_diataxis_content
interface PopulateDiataxisContentTool {
name: "populate_diataxis_content";
description: "Intelligently populate Diataxis documentation with project-specific content";
inputSchema: {
type: "object";
properties: {
analysisId: {
type: "string";
description: "Repository analysis ID from analyze_repository tool";
};
docsPath: {
type: "string";
description: "Path to documentation directory";
};
populationLevel: {
type: "string";
enum: ["basic", "comprehensive", "intelligent"];
default: "comprehensive";
description: "Level of content generation detail";
};
includeProjectSpecific: {
type: "boolean";
default: true;
description: "Generate project-specific examples and code";
};
preserveExisting: {
type: "boolean";
default: true;
description: "Preserve any existing content";
};
technologyFocus: {
type: "array";
items: { type: "string" };
description: "Specific technologies to emphasize in content";
};
};
required: ["analysisId", "docsPath"];
};
}
```
### Content Generation Pipeline
```typescript
class ContentPopulationEngine {
async populateContent(args: PopulationArgs): Promise<PopulationResult> {
// 1. Retrieve and validate repository analysis
const analysis = await this.getRepositoryAnalysis(args.analysisId);
this.validateAnalysis(analysis);
// 2. Generate content plan based on project characteristics
const contentPlan = await this.generateContentPlan(analysis, args.populationLevel);
// 3. Generate content for each Diataxis category
const [tutorials, howTos, reference, explanation] = await Promise.all([
this.generateTutorialContent(contentPlan.tutorials, analysis),
this.generateHowToContent(contentPlan.howToGuides, analysis),
this.generateReferenceContent(contentPlan.reference, analysis),
this.generateExplanationContent(contentPlan.explanation, analysis)
]);
// 4. Write content to documentation structure
const filesCreated = await this.writeContentToStructure(
args.docsPath,
{ tutorials, howTos, reference, explanation },
args.preserveExisting
);
// 5. Generate cross-references and navigation updates
await this.updateNavigationAndCrossReferences(args.docsPath, contentPlan);
return {
success: true,
filesCreated,
contentPlan,
populationMetrics: this.calculatePopulationMetrics(filesCreated),
nextSteps: this.generateNextSteps(analysis, contentPlan)
};
}
}
```
### Technology Detection and Content Mapping
```typescript
interface TechnologyMapper {
detectTechnologies(analysis: RepositoryAnalysis): TechnologyProfile;
mapToContentTemplates(technologies: TechnologyProfile): ContentTemplateSet;
generateTechnologySpecificExamples(
technology: Technology,
context: ProjectContext
): CodeExample[];
}
class JavaScriptTechnologyMapper implements TechnologyMapper {
detectTechnologies(analysis: RepositoryAnalysis): TechnologyProfile {
const profile: TechnologyProfile = {
runtime: this.detectRuntime(analysis), // Node.js, Deno, Bun
framework: this.detectFramework(analysis), // Express, Fastify, Koa
frontend: this.detectFrontend(analysis), // React, Vue, Angular
database: this.detectDatabase(analysis), // PostgreSQL, MongoDB, Redis
testing: this.detectTesting(analysis), // Jest, Mocha, Playwright
deployment: this.detectDeployment(analysis), // Docker, Kubernetes, Vercel
devops: this.detectDevOpsTools(analysis) // Ansible, Tekton, OpenShift, Podman
};
return profile;
}
mapToContentTemplates(technologies: TechnologyProfile): ContentTemplateSet {
return {
tutorials: this.generateTutorialTemplates(technologies),
howToGuides: this.generateHowToTemplates(technologies),
reference: this.generateReferenceTemplates(technologies),
explanation: this.generateExplanationTemplates(technologies)
};
}
}
```
### DevOps and Infrastructure Tooling Support
#### DevOps Tool Detection and Content Generation
```typescript
interface DevOpsToolMapper {
detectDevOpsTools(analysis: RepositoryAnalysis): DevOpsToolProfile;
generateDevOpsContent(tools: DevOpsToolProfile, context: ProjectContext): DevOpsContent;
createInfrastructureDocumentation(
infrastructure: InfrastructureProfile,
deploymentPattern: DeploymentPattern
): InfrastructureDocumentation;
}
interface DevOpsToolProfile {
containerization: ContainerTechnology[]; // Docker, Podman, Buildah
orchestration: OrchestrationTechnology[]; // Kubernetes, OpenShift, Nomad
cicd: CICDTechnology[]; // Tekton, GitHub Actions, Jenkins, GitLab CI
configuration: ConfigManagementTechnology[]; // Ansible, Terraform, Helm
monitoring: MonitoringTechnology[]; // Prometheus, Grafana, Jaeger
security: SecurityTechnology[]; // Falco, OPA, Vault
}
class DevOpsContentGenerator implements DevOpsToolMapper {
detectDevOpsTools(analysis: RepositoryAnalysis): DevOpsToolProfile {
return {
containerization: this.detectContainerization(analysis),
orchestration: this.detectOrchestration(analysis),
cicd: this.detectCICD(analysis),
configuration: this.detectConfigManagement(analysis),
monitoring: this.detectMonitoring(analysis),
security: this.detectSecurity(analysis)
};
}
private detectContainerization(analysis: RepositoryAnalysis): ContainerTechnology[] {
const detected: ContainerTechnology[] = [];
// Docker detection
if (this.hasFile(analysis, 'Dockerfile') ||
this.hasFile(analysis, 'docker-compose.yml') ||
this.hasFile(analysis, 'docker-compose.yaml')) {
detected.push({
name: 'docker',
version: this.extractDockerVersion(analysis),
configFiles: this.getDockerFiles(analysis),
usage: this.analyzeDockerUsage(analysis)
});
}
// Podman detection
if (this.hasFile(analysis, 'Containerfile') ||
this.hasReference(analysis, 'podman') ||
this.hasFile(analysis, 'podman-compose.yml')) {
detected.push({
name: 'podman',
version: this.extractPodmanVersion(analysis),
configFiles: this.getPodmanFiles(analysis),
usage: this.analyzePodmanUsage(analysis)
});
}
return detected;
}
private detectOrchestration(analysis: RepositoryAnalysis): OrchestrationTechnology[] {
const detected: OrchestrationTechnology[] = [];
// Kubernetes detection
if (this.hasDirectory(analysis, 'k8s/') ||
this.hasDirectory(analysis, 'kubernetes/') ||
this.hasFilePattern(analysis, '*.yaml', 'apiVersion: apps/v1') ||
this.hasFilePattern(analysis, '*.yml', 'kind: Deployment')) {
detected.push({
name: 'kubernetes',
manifests: this.getKubernetesManifests(analysis),
resources: this.analyzeKubernetesResources(analysis),
namespaces: this.extractNamespaces(analysis)
});
}
// OpenShift detection
if (this.hasDirectory(analysis, '.s2i/') ||
this.hasReference(analysis, 'openshift') ||
this.hasFileContent(analysis, 'kind: DeploymentConfig') ||
this.hasFileContent(analysis, 'kind: Route')) {
detected.push({
name: 'openshift',
templates: this.getOpenShiftTemplates(analysis),
buildConfigs: this.getBuildConfigs(analysis),
routes: this.getRoutes(analysis)
});
}
return detected;
}
private detectCICD(analysis: RepositoryAnalysis): CICDTechnology[] {
const detected: CICDTechnology[] = [];
// Tekton detection
if (this.hasDirectory(analysis, '.tekton/') ||
this.hasFileContent(analysis, 'apiVersion: tekton.dev') ||
this.hasFilePattern(analysis, '*.yaml', 'kind: Pipeline')) {
detected.push({
name: 'tekton',
pipelines: this.getTektonPipelines(analysis),
tasks: this.getTektonTasks(analysis),
triggers: this.getTektonTriggers(analysis)
});
}
return detected;
}
private detectConfigManagement(analysis: RepositoryAnalysis): ConfigManagementTechnology[] {
const detected: ConfigManagementTechnology[] = [];
// Ansible detection
if (this.hasFile(analysis, 'ansible.cfg') ||
this.hasDirectory(analysis, 'playbooks/') ||
this.hasDirectory(analysis, 'roles/') ||
this.hasFile(analysis, 'inventory') ||
this.hasFilePattern(analysis, '*.yml', 'hosts:') ||
this.hasFilePattern(analysis, '*.yaml', 'tasks:')) {
detected.push({
name: 'ansible',
playbooks: this.getAnsiblePlaybooks(analysis),
roles: this.getAnsibleRoles(analysis),
inventory: this.getAnsibleInventory(analysis),
vaultFiles: this.getAnsibleVault(analysis)
});
}
return detected;
}
}
```
#### DevOps-Specific Content Templates and Generation
**Key DevOps Documentation Patterns**:
- **Container Tutorials**: Project-specific Dockerfile optimization, multi-stage builds
- **Orchestration Guides**: Kubernetes/OpenShift deployment strategies
- **Infrastructure as Code**: Ansible playbooks for application deployment
- **CI/CD Pipelines**: Tekton pipeline configuration and best practices
```typescript
const DEVOPS_CONTENT_TEMPLATES = {
docker: {
tutorial: 'Containerizing {projectName} with Docker',
howto: ['Optimize Docker Images', 'Debug Container Issues'],
reference: 'Dockerfile Configuration Reference',
explanation: 'Container Architecture Decisions'
},
kubernetes: {
tutorial: 'Deploying {projectName} to Kubernetes',
howto: ['Scale Applications', 'Troubleshoot Deployments'],
reference: 'Kubernetes Manifest Specifications',
explanation: 'Orchestration Strategy'
},
ansible: {
tutorial: 'Infrastructure as Code with Ansible',
howto: ['Automate Deployment', 'Manage Multi-Environment'],
reference: 'Playbook and Role Reference',
explanation: 'Configuration Management Strategy'
},
tekton: {
tutorial: 'CI/CD Pipeline with Tekton',
howto: ['Build and Deploy', 'Manage Secrets'],
reference: 'Pipeline Specifications',
explanation: 'Cloud Native CI/CD Architecture'
}
};
function generateDevOpsContent(
devopsProfile: DevOpsToolProfile,
projectContext: ProjectContext
): DevOpsContentPlan {
// Generate project-specific DevOps documentation
// based on detected tools and project characteristics
}
```
### Community Contribution Framework for Language and Tool Support
#### Language Extension Architecture
```typescript
interface LanguageExtension {
name: string;
ecosystem: string;
packageManagers: string[];
detectionPatterns: DetectionPattern[];
frameworks: FrameworkDefinition[];
contentTemplates: LanguageContentTemplates;
validationRules: ValidationRule[];
}
interface DetectionPattern {
type: 'file' | 'dependency' | 'import' | 'content';
pattern: string | RegExp;
weight: number; // 1-10, higher = more confident
description: string;
}
interface FrameworkDefinition {
name: string;
detectionPatterns: DetectionPattern[];
contentTemplates: FrameworkContentTemplates;
codeExamples: CodeExampleGenerator;
bestPractices: BestPractice[];
}
```
#### Contribution Guidelines for New Language Support
##### Step 1: Language Detection Implementation
```typescript
// Example: Adding Go language support
const GO_LANGUAGE_EXTENSION: LanguageExtension = {
name: 'go',
ecosystem: 'go',
packageManagers: ['go mod', 'dep'],
detectionPatterns: [
{
type: 'file',
pattern: 'go.mod',
weight: 10,
description: 'Go module definition file'
},
{
type: 'file',
pattern: 'go.sum',
weight: 8,
description: 'Go module checksums'
},
{
type: 'file',
pattern: /.*\.go$/,
weight: 6,
description: 'Go source files'
},
{
type: 'content',
pattern: /^package main$/m,
weight: 7,
description: 'Go main package declaration'
}
],
frameworks: [
// Framework definitions...
],
contentTemplates: {
// Content templates...
}
};
```
##### Step 2: Framework-Specific Content Templates
```typescript
// Example: Adding Gin framework support for Go
const GIN_FRAMEWORK: FrameworkDefinition = {
name: 'gin',
detectionPatterns: [
{
type: 'dependency',
pattern: 'github.com/gin-gonic/gin',
weight: 10,
description: 'Gin framework dependency'
},
{
type: 'import',
pattern: 'gin "github.com/gin-gonic/gin"',
weight: 9,
description: 'Gin framework import'
}
],
contentTemplates: {
tutorials: [
{
title: 'Building REST APIs with Gin',
diataxisType: 'tutorial',
sections: [
'Setting up Gin Application',
'Defining Routes and Handlers',
'Middleware Configuration',
'Database Integration',
'Testing Gin Applications'
],
prerequisites: [
'Go installed (1.19+)',
'Basic Go language knowledge',
'Understanding of HTTP concepts'
],
estimatedTime: '60 minutes',
difficulty: 'beginner'
}
],
howToGuides: [
{
title: 'Optimize Gin Performance',
diataxisType: 'how-to',
tasks: [
'Configure connection pooling',
'Implement caching strategies',
'Set up rate limiting',
'Profile and benchmark endpoints'
]
}
],
reference: [
{
title: 'Gin Router Configuration',
diataxisType: 'reference',
sections: [
'Route definition patterns',
'Middleware registration',
'Context object methods',
'Error handling patterns'
]
}
],
explanation: [
{
title: 'Gin Architecture and Design Decisions',
diataxisType: 'explanation',
topics: [
'HTTP router performance characteristics',
'Middleware pipeline design',
'Context lifecycle management',
'Comparison with other Go frameworks'
]
}
]
},
codeExamples: {
basicServer: `package main
import (
"net/http"
"github.com/gin-gonic/gin"
)
func main() {
r := gin.Default()
r.GET("/health", func(c *gin.Context) {
c.JSON(http.StatusOK, gin.H{
"status": "healthy",
})
})
r.Run(":8080")
}`,
middleware: `func LoggerMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
start := time.Now()
c.Next()
duration := time.Since(start)
log.Printf("%s %s %v", c.Request.Method, c.Request.URL.Path, duration)
}
}`
}
};
```
##### Step 3: Content Generation Logic
```typescript
class GoContentGenerator implements FrameworkContentGenerator {
detectFramework(analysis: RepositoryAnalysis): Framework[] {
const frameworks: Framework[] = [];
// Check for Gin framework
if (this.hasGoModule(analysis, 'github.com/gin-gonic/gin')) {
frameworks.push({
name: 'gin',
version: this.extractGoModuleVersion(analysis, 'github.com/gin-gonic/gin'),
configFiles: this.getGinConfigFiles(analysis),
routeStructure: this.analyzeGinRoutes(analysis)
});
}
// Check for Echo framework
if (this.hasGoModule(analysis, 'github.com/labstack/echo')) {
frameworks.push({
name: 'echo',
version: this.extractGoModuleVersion(analysis, 'github.com/labstack/echo'),
configFiles: this.getEchoConfigFiles(analysis),
routeStructure: this.analyzeEchoRoutes(analysis)
});
}
return frameworks;
}
generateFrameworkContent(framework: Framework, context: ProjectContext): FrameworkContent {
const templates = GO_LANGUAGE_EXTENSION.frameworks
.find(f => f.name === framework.name)?.contentTemplates;
if (!templates) return this.generateGenericGoContent(framework, context);
return this.populateTemplatesWithProjectContext(templates, framework, context);
}
private generateProjectSpecificGoDockerfile(context: ProjectContext): string {
return `# Multi-stage build for ${context.projectName}
FROM golang:1.21-alpine AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 GOOS=linux go build -o main .
# Final stage
FROM alpine:latest
RUN apk --no-cache add ca-certificates
WORKDIR /root/
COPY --from=builder /app/main .
EXPOSE 8080
CMD ["./main"]`;
}
}
```
#### Contribution Process and Standards
##### Community Contribution Workflow
1. **Language Proposal**: Submit GitHub issue with language/framework proposal
2. **Detection Patterns**: Define comprehensive detection patterns
3. **Content Templates**: Create Diataxis-compliant content templates
4. **Code Examples**: Provide working, project-specific code examples
5. **Testing**: Include validation tests for detection and generation
6. **Documentation**: Document contribution for future maintainers
7. **Review Process**: Community and maintainer review
8. **Integration**: Merge into main extension registry
##### Quality Standards for Contributions
```typescript
interface ContributionStandards {
detection: {
minimumPatterns: 3;
requiredTypes: ['file', 'dependency'];
weightDistribution: 'balanced'; // No single pattern > 70% weight
falsePositiveRate: '<5%';
};
content: {
diataxisCompliance: 'strict';
tutorialCount: 'minimum 2';
howToGuideCount: 'minimum 3';
referenceCompleteness: '80%';
explanationDepth: 'architectural decisions covered';
};
codeExamples: {
compilationSuccess: '100%';
projectSpecific: 'true';
bestPractices: 'current industry standards';
securityConsiderations: 'included';
};
testing: {
detectionAccuracy: '>90%';
contentGeneration: 'functional tests';
integrationTests: 'with existing systems';
performanceImpact: '<10% generation time increase';
};
}
```
##### Template Contribution Format
```typescript
// Required structure for new language contributions
interface LanguageContributionTemplate {
metadata: {
contributorName: string;
contributorEmail: string;
languageName: string;
version: string;
lastUpdated: string;
maintenanceCommitment: 'ongoing' | 'initial-only';
};
detection: DetectionPatternSet;
frameworks: FrameworkDefinition[];
contentTemplates: ContentTemplateSet;
validation: ValidationTestSuite;
documentation: ContributionDocumentation;
}
// Example contribution file structure:
// src/languages/
// ├── go/
// │ ├── detection.ts
// │ ├── frameworks/
// │ │ ├── gin.ts
// │ │ ├── echo.ts
// │ │ └── fiber.ts
// │ ├── templates/
// │ │ ├── tutorials.ts
// │ │ ├── howto.ts
// │ │ ├── reference.ts
// │ │ └── explanation.ts
// │ ├── tests/
// │ │ ├── detection.test.ts
// │ │ └── generation.test.ts
// │ └── README.md
```
#### Community Validation and Review Process
##### Automated Validation Pipeline
```typescript
interface ContributionValidation {
// Automated checks
syntaxValidation: 'TypeScript compilation success';
patternTesting: 'Detection accuracy against test repositories';
contentValidation: 'Diataxis compliance checking';
performanceImpact: 'Generation time benchmarking';
// Community review
peerReview: 'Two community developer approvals';
maintainerReview: 'Core team architectural review';
expertValidation: 'Language expert accuracy verification';
// Integration testing
endToEndTesting: 'Full workflow validation';
regressionTesting: 'No impact on existing languages';
documentationReview: 'Contribution documentation completeness';
}
```
##### Long-term Maintenance Framework
```typescript
interface MaintenanceFramework {
languageUpdates: {
frameworkVersions: 'automated dependency tracking';
newFrameworks: 'community contribution process';
deprecatedPatterns: 'automated detection and flagging';
};
communityGovernance: {
languageMaintainers: 'designated community experts';
updateProcess: 'structured enhancement proposals';
qualityAssurance: 'continuous validation and testing';
};
toolingSupport: {
contributionCLI: 'automated scaffolding for new languages';
validationTools: 'automated testing and verification';
documentationGeneration: 'automated API documentation';
};
}
```
## Quality Assurance
### Content Validation Framework
```typescript
interface ContentValidator {
validateAccuracy(content: GeneratedContent, analysis: RepositoryAnalysis): ValidationResult;
checkDiataxisCompliance(content: GeneratedContent): ComplianceResult;
verifyCodeExamples(examples: CodeExample[], projectContext: ProjectContext): ValidationResult;
assessContentCompleteness(content: GeneratedContent, plan: ContentPlan): CompletenessResult;
}
interface ValidationResult {
isValid: boolean;
issues: ValidationIssue[];
suggestions: ImprovementSuggestion[];
confidence: number;
}
```
### Testing Strategy
```typescript
describe('ContentPopulationEngine', () => {
describe('Tutorial Generation', () => {
it('should generate appropriate getting started tutorial for Express.js project');
it('should include technology-specific setup steps');
it('should provide working code examples');
it('should maintain Diataxis tutorial principles');
});
describe('Technology Detection', () => {
it('should correctly identify primary framework from package.json');
it('should detect database dependencies and generate appropriate content');
it('should handle multi-framework projects appropriately');
});
describe('Content Quality', () => {
it('should generate accurate code examples that match project structure');
it('should maintain consistent tone and style across content types');
it('should create appropriate cross-references between content sections');
});
});
```
### Performance Requirements
- **Content Generation Time**: < 30 seconds for comprehensive population
- **Memory Usage**: < 500MB for large repository analysis and content generation
- **Content Quality**: 80%+ accuracy for generated technical content
- **Coverage**: Support for 15+ major JavaScript/TypeScript frameworks initially
## Integration Points
### Repository Analysis Integration (ADR-002)
- Leverage multi-layered analysis results for informed content generation
- Use complexity assessment to determine content depth and sophistication
- Integrate dependency analysis for framework-specific content selection
### Diataxis Framework Integration (ADR-004)
- Implement content planning intelligence outlined in ADR-004 lines 153-192
- Generate content that strictly adheres to Diataxis category principles
- Create appropriate cross-references and user journey flows
### MCP Tools API Integration (ADR-006)
- Add populate_diataxis_content as seventh core MCP tool
- Maintain consistent error handling and response format patterns
- Integrate with existing setup_structure tool for seamless workflow
### SSG Configuration Integration (ADR-006)
- Generate content with appropriate frontmatter for target SSG
- Adapt content format and structure to SSG capabilities
- Ensure generated content renders correctly across all supported SSGs
## Future Enhancements
### Advanced AI Integration
- **Large Language Model Integration**: Use specialized models for content refinement
- **Code Analysis AI**: Advanced analysis of project patterns for more accurate content
- **Natural Language Generation**: Improve content quality and readability
### Extended Technology Support
#### Python Ecosystem (Priority Implementation)
- **Web Frameworks**: Django, Flask, FastAPI, Pyramid, Bottle
- **Data Science**: Jupyter, Pandas, NumPy, SciPy documentation patterns
- **ML/AI**: TensorFlow, PyTorch, Scikit-learn integration guides
- **API Development**: Django REST Framework, FastAPI advanced patterns
- **Testing**: pytest, unittest, behave testing documentation
- **Deployment**: Gunicorn, uWSGI, Celery configuration guides
#### Additional Language Ecosystems
- **Go Ecosystem**: Gin, Echo, Fiber, Buffalo framework support
- **Rust Ecosystem**: Actix-web, Warp, Rocket, Axum content generation
- **Java Ecosystem**: Spring Boot, Quarkus, Micronaut, Play Framework
- **C# Ecosystem**: ASP.NET Core, Entity Framework, Blazor
- **Ruby Ecosystem**: Rails, Sinatra, Hanami framework support
- **PHP Ecosystem**: Laravel, Symfony, CodeIgniter patterns
### DevOps and Infrastructure Expansion
- **Extended Container Support**: Buildah, Skopeo, LXC/LXD integration
- **Advanced Orchestration**: Nomad, Docker Swarm, Cloud Foundry support
- **CI/CD Platforms**: Jenkins, GitLab CI, Azure DevOps, CircleCI integration
- **Infrastructure Tools**: Terraform, Pulumi, CloudFormation content generation
- **Service Mesh**: Istio, Linkerd, Consul Connect documentation patterns
- **Monitoring Stack**: Prometheus, Grafana, ELK Stack, Jaeger integration guides
### Community and Learning Features
- **Content Quality Feedback**: User ratings and improvement suggestions
- **Template Sharing**: Community-contributed content templates
- **Usage Analytics**: Track which content types provide most value
- **Personalization**: Adapt content style to team preferences and expertise level
### Community Ecosystem and Contributions
- **Language Extension Registry**: Centralized repository for community language support
- **Contribution Tooling**: CLI tools for scaffolding new language extensions
- **Validation Pipeline**: Automated testing and quality assurance for contributions
- **Community Governance**: Language maintainer program and review processes
- **Documentation Portal**: Comprehensive guides for extending DocuMCP capabilities
- **Template Marketplace**: Sharing and discovery of specialized content templates
### Enterprise Features
- **Custom Content Standards**: Organization-specific content templates and style guides
- **Multi-language Support**: Generate content in multiple languages
- **Integration APIs**: Connect with existing documentation management systems
- **Approval Workflows**: Review and approval processes for generated content
## Success Metrics
### User Value Metrics
- **Time to Usable Documentation**: Target < 30 minutes (vs. 8-20 hours manually)
- **Content Completeness**: 60-80% populated content out of the box
- **User Satisfaction**: 85%+ positive feedback on generated content quality
- **Adoption Rate**: 90%+ of users use content population vs. structure-only
### Technical Metrics
- **Content Accuracy**: 80%+ technical accuracy for generated code examples
- **Framework Coverage**: Support 95% of detected JavaScript/TypeScript frameworks
- **DevOps Tool Coverage**: Support 90% of detected containerization and orchestration tools
- **Performance**: Content generation completes within 30 seconds
- **Error Rate**: < 5% content generation failures
### Business Metrics
- **Competitive Differentiation**: Only tool providing intelligent content population
- **Market Position**: Establish DocuMCP as "intelligent documentation assistant"
- **User Retention**: Increase from documentation structure to full workflow adoption
- **Community Growth**: Attract technical writers and documentation specialists
## References
- [ADR-002: Multi-Layered Repository Analysis Engine Design](002-repository-analysis-engine.md)
- [ADR-004: Diataxis Framework Integration](004-diataxis-framework-integration.md)
- [ADR-006: MCP Tools API Design](006-mcp-tools-api-design.md)
- [Diataxis Framework Documentation](https://diataxis.fr/)
- [Technical Writing Best Practices](https://developers.google.com/tech-writing)
- [Documentation as Code Principles](https://www.writethedocs.org/guide/docs-as-code/)