Documentation Index
Fetch the complete documentation index at: https://nikcli.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Layered Design
NikCLI employs a sophisticated layered architecture that promotes separation of concerns, modularity, and maintainability. This document provides an in-depth analysis of each architectural layer, their responsibilities, and interaction patterns.
Architectural Layers Overview
The system is organized into six primary layers, each with distinct responsibilities:
┌─────────────────────────────────────────────────────────────────┐
│ Layer 1: Presentation Layer (CLI/UI) │
├─────────────────────────────────────────────────────────────────┤
│ Layer 2: Orchestration Layer │
├─────────────────────────────────────────────────────────────────┤
│ Layer 3: Agent Layer │
├─────────────────────────────────────────────────────────────────┤
│ Layer 4: Service Layer │
├─────────────────────────────────────────────────────────────────┤
│ Layer 5: Infrastructure Layer │
├─────────────────────────────────────────────────────────────────┤
│ Layer 6: Data Layer │
└─────────────────────────────────────────────────────────────────┘
Layer 1: Presentation Layer
Responsibilities
The presentation layer handles all user interactions and output rendering.
Components
Terminal Interface (/src/cli/nik-cli.ts)
Core Functions:
- Command-line argument parsing
- Interactive chat interface
- Real-time streaming output
- User input handling
- Vim mode support
- Paste detection and handling
Key Features:
// Main CLI entry point
class NikCLI {
private streamOrchestrator: StreamingOrchestrator;
private rl: readline.Interface;
private inputBuffer: string[];
async start(): Promise<void> {
// Initialize UI components
await this.setupReadline();
await this.setupStreamingOutput();
// Start main loop
await this.mainLoop();
}
private async handleUserInput(input: string): Promise<void> {
// Queue input for processing
inputQueue.enqueue(input);
// Trigger orchestrator
await this.streamOrchestrator.processMessage(input);
}
}
Advanced CLI UI (/src/cli/ui/advanced-cli-ui.ts)
Capabilities:
- Colored, formatted output
- Progress indicators (spinners, progress bars, dots)
- Tables and structured data display
- Syntax highlighting
- Interactive prompts
- Status panels
Output Formatting:
class AdvancedUI {
logInfo(message: string): void;
logSuccess(message: string): void;
logWarning(message: string): void;
logError(message: string): void;
// Structured output
displayTable(data: any[]): void;
displayTree(structure: TreeNode): void;
displayCode(code: string, language: string): void;
// Interactive elements
showSpinner(message: string): SpinnerHandle;
showProgress(total: number): ProgressHandle;
prompt(question: string, options: PromptOptions): Promise<string>;
}
Terminal Output Manager (/src/cli/ui/terminal-output-manager.ts)
Responsibilities:
- Stream management
- Panel-based layout
- Real-time updates
- Buffer management
- Terminal capability detection
Panel System:
interface Panel {
id: string;
title: string;
position: 'top' | 'bottom' | 'left' | 'right';
width?: number;
height?: number;
content: string[];
maxLines?: number;
}
class TerminalOutputManager {
private panels: Map<string, Panel>;
createPanel(config: PanelConfig): string;
updatePanel(id: string, content: string[]): void;
removePanel(id: string): void;
renderAllPanels(): void;
}
Diff Manager (/src/cli/ui/diff-manager.ts)
Features:
- Side-by-side diffs
- Unified diffs
- Syntax-highlighted diffs
- Interactive approval
- Batch operations
Diff Display:
class DiffManager {
async showDiff(
original: string,
modified: string,
filePath: string
): Promise<void> {
const diff = this.computeDiff(original, modified);
const formatted = this.formatDiff(diff, filePath);
// Display with syntax highlighting
advancedUI.displayCode(formatted, 'diff');
}
async requestApproval(diff: DiffResult): Promise<boolean> {
return await advancedUI.prompt(
'Apply these changes?',
{ type: 'confirm' }
);
}
}
Web Dashboard (Optional) (/web)
Features:
- Real-time agent status
- Job queue visualization
- Metrics and analytics
- GitHub integration
- Subscription management
Layer Boundaries
Upward Communication: None (top layer)
Downward Communication:
- Sends commands to Orchestration Layer
- Receives events from Event System
- Subscribes to streaming updates
Layer 2: Orchestration Layer
Responsibilities
Coordinates system-wide operations and manages execution flow.
Components
Main Orchestrator (/src/cli/main-orchestrator.ts)
Lifecycle Management:
class MainOrchestrator {
private serviceStates: Map<string, ServiceState>;
private streamOrchestrator: StreamingOrchestrator;
private vmOrchestrator: VMOrchestrator;
async initialize(): Promise<void> {
// Phase 1: Core services
await this.initializeCoreServices();
// Phase 2: Dependent services
await this.initializeDependentServices();
// Phase 3: Start orchestration
await this.startOrchestration();
}
private async initializeCoreServices(): Promise<void> {
const services = [
{ name: 'config', init: () => configManager.initialize() },
{ name: 'logging', init: () => logger.initialize() },
{ name: 'monitoring', init: () => monitoringSystem.initialize() }
];
for (const service of services) {
await this.initializeService(service);
}
}
async gracefulShutdown(): Promise<void> {
// Stop accepting new requests
await this.stopAcceptingRequests();
// Wait for active operations
await this.waitForActiveOperations();
// Cleanup resources
await this.cleanup();
}
}
Service State Tracking:
interface ServiceState {
name: string;
initialized: boolean;
phase: 'core' | 'dependent' | 'all';
dependencies: string[];
error?: Error;
}
Streaming Orchestrator (/src/cli/streaming-orchestrator.ts)
Message Queue System:
interface StreamMessage {
id: string;
type: 'user' | 'system' | 'agent' | 'tool' | 'diff' | 'error' | 'vm';
content: string;
timestamp: Date;
status: 'queued' | 'processing' | 'completed' | 'absorbed';
metadata?: any;
agentId?: string;
progress?: number;
}
class StreamingOrchestratorImpl {
private messageQueue: StreamMessage[] = [];
private activeAgents: Map<string, any> = new Map();
private processingMessage = false;
async processMessage(content: string): Promise<void> {
const message: StreamMessage = {
id: randomUUID(),
type: 'user',
content,
timestamp: new Date(),
status: 'queued'
};
this.messageQueue.push(message);
if (!this.processingMessage) {
await this.processNextMessage();
}
}
private async processNextMessage(): Promise<void> {
if (this.messageQueue.length === 0) return;
this.processingMessage = true;
const message = this.messageQueue.shift()!;
message.status = 'processing';
try {
// Execute through middleware chain
const result = await middlewareManager.execute(
'process_message',
[message],
this.context
);
// Route to appropriate agent
await this.routeToAgent(message, result);
message.status = 'completed';
} catch (error) {
message.status = 'error';
await this.handleError(error, message);
} finally {
this.processingMessage = false;
await this.processNextMessage();
}
}
}
Context Management:
interface StreamContext {
workingDirectory: string;
autonomous: boolean;
planMode: boolean;
autoAcceptEdits: boolean;
vmMode: boolean;
contextLeft: number;
maxContext: number;
adaptiveSupervision?: boolean;
intelligentPrioritization?: boolean;
cognitiveFiltering?: boolean;
}
Cognitive AI Pipeline:
class StreamingOrchestrator {
private cognitiveEnabled: boolean = true;
private adaptiveMetrics: Map<string, number> = new Map();
private async applyCognitiveFiltering(
input: string
): Promise<string> {
if (!this.cognitiveEnabled) return input;
// Apply intelligent filtering
const filtered = await this.intelligentPrioritization(input);
const optimized = await this.adaptiveSupervision(filtered);
return optimized;
}
private async intelligentPrioritization(
input: string
): Promise<string> {
// Analyze input priority
const priority = await this.analyzePriority(input);
// Adjust processing based on priority
if (priority === 'high') {
return this.expediteProcessing(input);
}
return input;
}
}
VM Orchestrator (/src/cli/virtualized-agents/vm-orchestrator.ts)
Container Management:
class VMOrchestrator {
private containerManager: ContainerManager;
private activeSessions: Map<string, VMSession> = new Map();
async createVMAgent(config: VMConfig): Promise<string> {
// Create isolated container
const containerId = await this.containerManager.createContainer({
image: config.image,
resources: config.resources,
network: config.networkMode
});
// Initialize agent in container
const agentId = await this.initializeAgent(containerId, config);
// Track session
this.activeSessions.set(agentId, {
containerId,
agentId,
created: new Date(),
status: 'active'
});
return agentId;
}
async executeInVM(
agentId: string,
task: string
): Promise<AsyncGenerator<any>> {
const session = this.activeSessions.get(agentId);
if (!session) throw new Error('Session not found');
// Execute in isolated environment
return this.containerManager.execute(
session.containerId,
task
);
}
}
Layer Boundaries
Upward Communication:
- Emits events to Presentation Layer
- Streams real-time updates
Downward Communication:
- Delegates to Agent Layer
- Uses Service Layer for business logic
- Coordinates multiple agents
Layer 3: Agent Layer
Responsibilities
Executes AI-driven tasks with domain-specific intelligence.
Components
Universal Agent
Multi-Purpose Execution:
class UniversalAgent {
async execute(task: string, context: AgentContext): AsyncGenerator<any> {
// Analyze task
const analysis = await this.analyzeTask(task);
// Generate plan
const plan = await planningService.generatePlan(task, analysis);
// Execute steps
for (const step of plan.steps) {
yield* this.executeStep(step, context);
}
}
private async analyzeTask(task: string): Promise<TaskAnalysis> {
return {
complexity: this.assessComplexity(task),
requiredTools: this.identifyTools(task),
estimatedSteps: this.estimateSteps(task),
riskLevel: this.assessRisk(task)
};
}
}
Specialized Agents
Domain Expertise:
// React Expert Agent
class ReactExpertAgent extends BaseAgent {
private specialization = ['react', 'jsx', 'hooks', 'components'];
async execute(task: string): AsyncGenerator<any> {
// React-specific analysis
const componentAnalysis = await this.analyzeComponents(task);
// Apply React best practices
const optimized = await this.applyBestPractices(componentAnalysis);
// Generate React code
yield* this.generateReactCode(optimized);
}
private async analyzeComponents(task: string): Promise<ComponentAnalysis> {
// Use LSP for React analysis
const diagnostics = await lspService.getDiagnostics('tsx');
// Analyze component structure
const structure = await this.analyzeStructure(task);
return { diagnostics, structure };
}
}
Agent Registration:
// Agent Service manages all agents
agentService.registerAgent({
name: 'react-expert',
description: 'React component development specialist',
specialization: ['react', 'jsx', 'tsx', 'components'],
maxConcurrency: 1,
handler: async function* (task: string) {
// Agent implementation
yield* new ReactExpertAgent().execute(task);
}
});
Virtualized Agents
Isolated Execution:
class VirtualizedAgent {
private containerId: string;
private executor: ContainerExecutor;
async execute(task: string): AsyncGenerator<any> {
// Execute in sandbox
const result = await this.executor.run({
container: this.containerId,
command: task,
timeout: 30000,
resources: {
memory: '512MB',
cpu: '0.5'
}
});
yield* result;
}
}
Agent Communication Patterns
Agent-to-Agent Communication:
class AgentCoordinator {
async coordinateAgents(
agents: Agent[],
task: string
): AsyncGenerator<any> {
// Distribute subtasks
const subtasks = await this.distributeWork(task, agents);
// Execute in parallel
const results = await Promise.all(
subtasks.map((subtask, i) =>
agents[i].execute(subtask)
)
);
// Merge results
yield* this.mergeResults(results);
}
}
Layer Boundaries
Upward Communication:
- Reports progress to Orchestration Layer
- Requests resources and permissions
Downward Communication:
- Uses Service Layer for operations
- Invokes tools via Tool Service
- Accesses context via Context Service
Layer 4: Service Layer
Responsibilities
Provides reusable business logic and coordinates complex operations.
Components
Agent Service (/src/cli/services/agent-service.ts)
Agent Lifecycle:
class AgentService {
private agents: Map<string, AgentCapability>;
private activeTasks: Map<string, AgentTask>;
private taskQueue: AgentTask[];
private maxConcurrentAgents = 3;
async executeTask(
agentType: string,
task: string
): Promise<string> {
// Create task
const taskId = randomUUID();
const agentTask: AgentTask = {
id: taskId,
agentType,
task,
status: 'pending',
startTime: new Date()
};
// Queue or execute
if (this.canExecuteNow()) {
await this.execute(agentTask);
} else {
this.taskQueue.push(agentTask);
}
return taskId;
}
private async execute(task: AgentTask): Promise<void> {
task.status = 'running';
this.activeTasks.set(task.id, task);
try {
const agent = this.agents.get(task.agentType);
if (!agent) throw new Error('Agent not found');
// Execute through handler
const result = agent.handler(task.task, {});
// Process streaming results
for await (const chunk of result) {
task.progress = chunk.progress;
this.emit('task:progress', task);
}
task.status = 'completed';
task.endTime = new Date();
} catch (error) {
task.status = 'failed';
task.error = error.message;
} finally {
this.activeTasks.delete(task.id);
this.processQueue();
}
}
}
Planning Service (/src/cli/services/planning-service.ts)
Plan Generation:
class PlanningService {
async generatePlan(
task: string,
context: PlanContext
): Promise<ExecutionPlan> {
// Analyze task complexity
const analysis = await this.analyzeTask(task);
// Generate steps
const steps = await this.decomposeTask(task, analysis);
// Optimize execution order
const optimized = this.optimizeSteps(steps);
// Create plan
return {
id: randomUUID(),
task,
steps: optimized,
estimatedDuration: this.estimateDuration(optimized),
dependencies: this.mapDependencies(optimized)
};
}
private async decomposeTask(
task: string,
analysis: TaskAnalysis
): Promise<PlanStep[]> {
// Use AI to decompose
const prompt = this.buildDecompositionPrompt(task, analysis);
const response = await aiProvider.generate(prompt);
// Parse steps
return this.parseSteps(response);
}
}
Memory Service (/src/cli/services/memory-service.ts)
Conversation Management:
class MemoryService {
private conversationHistory: ConversationMessage[] = [];
private semanticMemory: SemanticStore;
private maxHistoryLength = 100;
async addMessage(
role: 'user' | 'assistant' | 'system',
content: string
): Promise<void> {
const message: ConversationMessage = {
id: randomUUID(),
role,
content,
timestamp: new Date()
};
// Add to history
this.conversationHistory.push(message);
// Prune if needed
if (this.conversationHistory.length > this.maxHistoryLength) {
this.conversationHistory.shift();
}
// Store in semantic memory
await this.semanticMemory.store(message);
}
async searchMemory(query: string): Promise<ConversationMessage[]> {
// Semantic search
return await this.semanticMemory.search(query, { limit: 5 });
}
async getRelevantContext(
query: string,
maxTokens: number
): Promise<string> {
// Get relevant messages
const relevant = await this.searchMemory(query);
// Format within token budget
return this.formatContext(relevant, maxTokens);
}
}
LSP Service (/src/cli/services/lsp-service.ts)
Language Intelligence:
class LSPService {
private lspClients: Map<string, LSPClient> = new Map();
async getDiagnostics(
filePath: string
): Promise<Diagnostic[]> {
const language = this.detectLanguage(filePath);
const client = await this.getOrCreateClient(language);
return await client.getDiagnostics(filePath);
}
async getCompletions(
filePath: string,
position: Position
): Promise<CompletionItem[]> {
const language = this.detectLanguage(filePath);
const client = await this.getOrCreateClient(language);
return await client.getCompletions(filePath, position);
}
async getDefinition(
filePath: string,
position: Position
): Promise<Location[]> {
const language = this.detectLanguage(filePath);
const client = await this.getOrCreateClient(language);
return await client.getDefinition(filePath, position);
}
}
Tool Orchestration:
class ToolService {
private toolRegistry: ToolRegistry;
private executionHistory: ToolExecution[] = [];
async executeTool(
toolName: string,
args: any,
requireApproval: boolean = false
): Promise<ToolExecutionResult> {
const tool = this.toolRegistry.getTool(toolName);
if (!tool) throw new Error(`Tool ${toolName} not found`);
// Check approval
if (requireApproval) {
const approved = await this.requestApproval(tool, args);
if (!approved) {
return { success: false, error: 'User rejected operation' };
}
}
// Execute
const execution: ToolExecution = {
id: randomUUID(),
toolName,
args,
startTime: new Date(),
status: 'running'
};
this.executionHistory.push(execution);
try {
const result = await tool.execute(args);
execution.status = 'completed';
execution.result = result;
execution.endTime = new Date();
return result;
} catch (error) {
execution.status = 'failed';
execution.error = error;
execution.endTime = new Date();
throw error;
}
}
}
Layer Boundaries
Upward Communication:
- Provides APIs to Agent Layer
- Emits service-level events
Downward Communication:
- Uses Infrastructure Layer for providers
- Accesses Data Layer for persistence
Layer 5: Infrastructure Layer
Responsibilities
Provides foundational services and integrations.
Components
AI Provider System
Model Routing:
class ModelProvider {
private providers: Map<string, AIProvider> = new Map();
private routingConfig: RoutingConfig;
async generateCompletion(
prompt: string,
options?: GenerationOptions
): Promise<Completion> {
// Route to appropriate model
const provider = await this.selectProvider(prompt, options);
// Generate with retry
return await this.withRetry(() =>
provider.generateCompletion(prompt, options)
);
}
private async selectProvider(
prompt: string,
options?: GenerationOptions
): Promise<AIProvider> {
if (options?.model) {
return this.getProviderForModel(options.model);
}
// Intelligent routing
const complexity = await this.assessComplexity(prompt);
if (complexity === 'high') {
return this.providers.get('anthropic'); // Claude
} else if (complexity === 'medium') {
return this.providers.get('openai'); // GPT-4
} else {
return this.providers.get('openai'); // GPT-3.5
}
}
}
Context & RAG System
Workspace Indexing:
class WorkspaceContext {
private vectorStore: ChromaDB;
private fileIndex: Map<string, FileMetadata>;
async indexWorkspace(directory: string): Promise<void> {
// Scan files
const files = await this.scanFiles(directory);
// Generate embeddings
for (const file of files) {
const content = await fs.readFile(file, 'utf-8');
const chunks = this.chunkContent(content);
for (const chunk of chunks) {
const embedding = await this.generateEmbedding(chunk);
await this.vectorStore.add({
id: `${file}:${chunk.start}`,
embedding,
metadata: {
file,
start: chunk.start,
end: chunk.end
}
});
}
}
}
async search(query: string, limit: number = 10): Promise<SearchResult[]> {
const queryEmbedding = await this.generateEmbedding(query);
const results = await this.vectorStore.search(queryEmbedding, limit);
return results;
}
}
Event System
Event Bus:
class EventBus {
private subscribers: Map<string, EventHandler[]> = new Map();
subscribe(event: string, handler: EventHandler): () => void {
if (!this.subscribers.has(event)) {
this.subscribers.set(event, []);
}
this.subscribers.get(event)!.push(handler);
// Return unsubscribe function
return () => {
const handlers = this.subscribers.get(event);
if (handlers) {
const index = handlers.indexOf(handler);
if (index > -1) handlers.splice(index, 1);
}
};
}
async emit(event: string, data: any): Promise<void> {
const handlers = this.subscribers.get(event) || [];
await Promise.all(
handlers.map(handler => handler(data))
);
}
}
Monitoring System
Telemetry:
class OpenTelemetryProvider {
private tracer: Tracer;
private meter: Meter;
startSpan(name: string, options?: SpanOptions): Span {
return this.tracer.startSpan(name, options);
}
recordMetric(name: string, value: number, labels?: Record<string, string>): void {
const counter = this.meter.createCounter(name);
counter.add(value, labels);
}
async trace<T>(
name: string,
fn: () => Promise<T>
): Promise<T> {
const span = this.startSpan(name);
try {
const result = await fn();
span.setStatus({ code: SpanStatusCode.OK });
return result;
} catch (error) {
span.setStatus({
code: SpanStatusCode.ERROR,
message: error.message
});
throw error;
} finally {
span.end();
}
}
}
Layer Boundaries
Upward Communication:
- Provides APIs to Service Layer
- Emits infrastructure events
Downward Communication:
- Uses Data Layer for persistence
- Makes external API calls
Layer 6: Data Layer
Responsibilities
Handles data persistence and retrieval.
Components
Configuration Storage
Config Manager:
class ConfigManager {
private config: ConfigType;
private configPath: string;
private watchers: FSWatcher[] = [];
async load(): Promise<void> {
// Load from multiple sources
const defaultConfig = this.getDefaultConfig();
const userConfig = await this.loadUserConfig();
const projectConfig = await this.loadProjectConfig();
const envConfig = this.loadEnvConfig();
// Merge configurations
this.config = this.mergeConfigs([
defaultConfig,
userConfig,
projectConfig,
envConfig
]);
// Validate
this.validate();
// Watch for changes
this.watchConfig();
}
async save(): Promise<void> {
await fs.writeFile(
this.configPath,
yaml.stringify(this.config),
'utf-8'
);
}
}
State Persistence
Snapshot Service:
class SnapshotService {
async saveSnapshot(state: SystemState): Promise<string> {
const snapshotId = randomUUID();
const snapshot = {
id: snapshotId,
timestamp: new Date(),
state
};
await fs.writeFile(
this.getSnapshotPath(snapshotId),
JSON.stringify(snapshot),
'utf-8'
);
return snapshotId;
}
async loadSnapshot(snapshotId: string): Promise<SystemState> {
const data = await fs.readFile(
this.getSnapshotPath(snapshotId),
'utf-8'
);
const snapshot = JSON.parse(data);
return snapshot.state;
}
}
Cache Storage
Multi-Tier Cache:
class CacheManager {
private memoryCache: Map<string, CacheEntry> = new Map();
private redisCache: Redis;
private diskCache: DiskCache;
async get(key: string): Promise<any> {
// L1: Memory cache
if (this.memoryCache.has(key)) {
return this.memoryCache.get(key)!.value;
}
// L2: Redis cache
const redisValue = await this.redisCache.get(key);
if (redisValue) {
this.memoryCache.set(key, {
value: redisValue,
expiry: Date.now() + 60000
});
return redisValue;
}
// L3: Disk cache
const diskValue = await this.diskCache.get(key);
if (diskValue) {
await this.redisCache.set(key, diskValue, 'EX', 3600);
return diskValue;
}
return null;
}
async set(
key: string,
value: any,
ttl: number = 3600
): Promise<void> {
// Write to all tiers
this.memoryCache.set(key, {
value,
expiry: Date.now() + ttl * 1000
});
await this.redisCache.set(key, value, 'EX', ttl);
await this.diskCache.set(key, value);
}
}
Layer Boundaries
Upward Communication:
- Provides data APIs to Infrastructure Layer
- None (bottom layer)
Downward Communication:
- File system operations
- Database connections
- External storage APIs
Cross-Cutting Concerns
Middleware Pipeline
The middleware system operates across all layers:
// Request flows through middleware at each layer
class MiddlewareChain {
async execute(
operation: string,
args: any[],
context: any
): Promise<any> {
// Validation middleware
await validationMiddleware.execute(args);
// Logging middleware
await loggingMiddleware.execute(operation, args);
// Performance middleware
const start = Date.now();
// Execute operation
const result = await this.executeOperation(operation, args, context);
// Audit middleware
await auditMiddleware.execute(operation, result);
// Metrics middleware
await metricsMiddleware.execute(operation, Date.now() - start);
return result;
}
}
Error Propagation
Errors flow upward through layers:
Data Layer Error
↓
Infrastructure Layer (wrap, add context)
↓
Service Layer (categorize, add metadata)
↓
Agent Layer (recover or escalate)
↓
Orchestration Layer (log, decide action)
↓
Presentation Layer (format, display)
Event Flow
Events can flow both up and down:
User Input Event (up)
↑
Presentation Layer
↑
Orchestration Layer (broadcast)
↓ ↓ ↓
Agent Layer Service Layer Infrastructure Layer
Design Patterns
Dependency Injection
// Services injected into components
class Agent {
constructor(
private toolService: ToolService,
private memoryService: MemoryService,
private lspService: LSPService
) {}
}
Factory Pattern
// Agent factory
class AgentFactory {
createAgent(type: string, config: AgentConfig): Agent {
switch (type) {
case 'universal':
return new UniversalAgent(config);
case 'react-expert':
return new ReactExpertAgent(config);
default:
throw new Error('Unknown agent type');
}
}
}
Strategy Pattern
// Different routing strategies
interface RoutingStrategy {
selectProvider(prompt: string): AIProvider;
}
class ConservativeRouting implements RoutingStrategy {
selectProvider(prompt: string): AIProvider {
return mostReliableProvider;
}
}
class AggressiveRouting implements RoutingStrategy {
selectProvider(prompt: string): AIProvider {
return cheapestProvider;
}
}
Observer Pattern
// Event-driven architecture
class Observable {
private observers: Observer[] = [];
subscribe(observer: Observer): void {
this.observers.push(observer);
}
notify(event: Event): void {
for (const observer of this.observers) {
observer.update(event);
}
}
}
Conclusion
NikCLI’s layered architecture provides:
- Clear separation of concerns
- Testability at each layer
- Flexibility to swap implementations
- Scalability through horizontal and vertical scaling
- Maintainability with well-defined boundaries
Each layer has specific responsibilities and communicates through well-defined interfaces, making the system robust and extensible.