architecture

February 8, 2026

Agentic SDLC Orchestration System Architecture

Document: 01-architecture.md
Date: 2026-02-06
Status: Draft - Synthesized from research corpus
Scope: End-to-end system design for AI-driven software development lifecycle

Executive Summary

This document presents the system architecture for an Agentic SDLC Orchestration Platform — a multi-agent system that automates the software development lifecycle from requirements through deployment and monitoring. The architecture synthesizes research on agentic loops, feedback mechanisms, automated code review, testing strategies, CI/CD pipelines, and end-to-end orchestration patterns.

Key Design Principles

Autonomous Agents with Human Oversight — Agents handle routine work; humans provide requirements and approve high-stakes decisions
Continuous Feedback Loops — Every phase generates learning that improves future iterations
Risk-Based Automation Depth — Automation intensity scales with change risk
Resilience by Design — Circuit breakers, checkpoints, and graceful degradation at every layer
Observable and Auditable — Full traceability of decisions and actions across the lifecycle

1. System Overview

1.1 High-Level Architecture

┌─────────────────────────────────────────────────────────────────────────────┐
│                         HUMAN INTERFACE LAYER                               │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │Requirements │  │   Review    │  │  Approval   │  │  Dashboard  │        │
│  │   Input     │  │   Queue     │  │   Gates     │  │  & Insights │        │
│  └──────┬──────┘  └──────▲──────┘  └──────▲──────┘  └─────────────┘        │
└─────────┼────────────────┼────────────────┼─────────────────────────────────┘
          │                │                │
          ▼                │                │
┌─────────────────────────────────────────────────────────────────────────────┐
│                      ORCHESTRATION LAYER                                    │
│  ┌─────────────────────────────────────────────────────────────────┐        │
│  │                    SDLC Orchestrator                             │        │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐    │        │
│  │  │  Plan   │ │Implement│ │ Review  │ │  Test   │ │ Deploy  │    │        │
│  │  │  Phase  │ │  Phase  │ │  Phase  │ │  Phase  │ │  Phase  │    │        │
│  │  └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘    │        │
│  │       └─────────────┴───────────┴───────────┴─────────────┘      │        │
│  │                              │                                   │        │
│  │                    ┌─────────┴─────────┐                         │        │
│  │                    │   Context Bus     │                         │        │
│  │                    └───────────────────┘                         │        │
│  └─────────────────────────────────────────────────────────────────┘        │
└─────────────────────────────────────────────────────────────────────────────┘
          │                ▲                │
          ▼                │                ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                        AGENT POOL LAYER                                     │
│                                                                             │
│  ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐       │
│  │   Planning   │ │Implementation│ │   Review     │ │   Testing    │       │
│  │    Agent     │ │    Agent     │ │    Agent     │ │    Agent     │       │
│  └──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘       │
│                                                                             │
│  ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐       │
│  │  Deployment  │ │  Monitoring  │ │   Learning   │ │    Meta      │       │
│  │    Agent     │ │    Agent     │ │    Agent     │ │  Orchestrator│       │
│  └──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘       │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘
          │                ▲                │
          ▼                │                ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                     SERVICE INTEGRATION LAYER                               │
│                                                                             │
│  ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌───────────┐ │
│  │  Git/VCS   │ │  CI/CD     │ │   Cloud    │ │ Monitoring │ │  Security │ │
│  │            │ │  Platform  │ │ Providers  │ │   Tools    │ │   Scans   │ │
│  └────────────┘ └────────────┘ └────────────┘ └────────────┘ └───────────┘ │
│                                                                             │
│  ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌───────────┐ │
│  │  Issue     │ │  Package   │ │  Secret    │ │   LLM      │ │  Testing  │ │
│  │  Trackers  │ │  Registries│ │   Stores   │ │ Providers  │ │ Frameworks│ │
│  └────────────┘ └────────────┘ └────────────┘ └────────────┘ └───────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘
          │                ▲                │
          ▼                │                ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│                      KNOWLEDGE & MEMORY LAYER                               │
│                                                                             │
│  ┌────────────────┐  ┌────────────────┐  ┌────────────────┐                │
│  │  Episodic      │  │   Semantic       │  │  Procedural    │                │
│  │  Memory        │  │   Memory         │  │  Memory        │                │
│  │  (Events)      │  │   (Knowledge)    │  │  (Strategies)  │                │
│  └────────────────┘  └────────────────┘  └────────────────┘                │
│                                                                             │
│  ┌────────────────────────────────────────────────────────────────────┐    │
│  │                     Learning Storage (GEP Protocol)                 │    │
│  │  ┌────────────┐  ┌────────────┐  ┌────────────┐  ┌────────────┐   │    │
│  │  │   Genes    │  │  Capsules  │  │   Events   │  │  Patterns  │   │    │
│  │  │ (Triggers) │  │(Solutions) │  │ (History)  │  │(Successes) │   │    │
│  │  └────────────┘  └────────────┘  └────────────┘  └────────────┘   │    │
│  └────────────────────────────────────────────────────────────────────┘    │
└─────────────────────────────────────────────────────────────────────────────┘

1.2 Core Components Summary

Component	Responsibility	Key Technologies
SDLCOrchestrator	Lifecycle coordination, phase management, human escalation	Workflow engine, state machine
PlanningAgent	Requirements analysis, architecture design, task decomposition	LLM, graph databases
ImplementationAgent	Code generation, refactoring, integration	Multi-agent swarms, code synthesis
ReviewAgent	Static analysis, AI review, quality gates	SAST tools, LLM evaluation
TestingAgent	Test generation, execution, failure analysis	Property testing, ML-based selection
DeploymentAgent	CI/CD orchestration, canary releases, rollback	GitOps, feature flags
MonitoringAgent	Observability, alerting, feedback collection	Metrics pipelines, anomaly detection
LearningAgent	Pattern extraction, knowledge consolidation, improvement	GEP protocol, vector stores
ContextBus	Shared state, event streaming, agent communication	Event bus, document store

2. Component Responsibilities

2.1 SDLCOrchestrator (Central Controller)

The orchestrator manages the end-to-end lifecycle using a state machine pattern.

typescript
interface SDLCOrchestrator {
  // Lifecycle state machine
  state: 'idle' | 'planning' | 'implementing' | 'reviewing' | 
         'testing' | 'deploying' | 'monitoring' | 'completed' | 'failed';
  
  // Phase management
  async executePhase(phase: Phase, input: PhaseInput): Promise<PhaseOutput>;
  async transition(state: State, reason: string): Promise<void>;
  
  // Checkpointing
  async checkpoint(phase: Phase, state: unknown): Promise<Checkpoint>;
  async rollback(toCheckpoint: Checkpoint): Promise<void>;
  
  // Human interaction
  async requestHumanReview(context: ReviewContext): Promise<HumanDecision>;
  async notify(status: StatusUpdate): Promise<void>;
  
  // Safety controls
  circuitBreakers: CircuitBreakerConfig;
  maxIterations: number;
  costBudget: number;
}

Responsibilities:

Coordinate phase transitions
Manage shared context across agents
Enforce safety controls and circuit breakers
Handle human-in-the-loop integration
Maintain audit trail of all decisions
Manage rollback and recovery

2.2 Planning Agent

Transforms requirements into actionable implementation plans.

typescript
interface PlanningAgent {
  // Requirements analysis
  async analyzeRequirements(reqs: Requirements): Promise<Analysis>;
  async decomposeEpic(epic: Epic): Promise<Story[]>;
  
  // Architecture design
  async designArchitecture(analysis: Analysis): Promise<Architecture>;
  async identifyDependencies(stories: Story[]): Promise<DependencyGraph>;
  
  // Estimation
  async estimateComplexity(stories: Story[]): Promise<Estimates>;
  async assessRisk(stories: Story[]): Promise<RiskAssessment>;
  
  // Planning
  async createImplementationPlan(
    architecture: Architecture, 
    constraints: Constraints
  ): Promise<ImplementationPlan>;
}

Responsibilities:

Parse and analyze natural language requirements
Decompose work into implementable units
Design system architecture
Identify dependencies and critical paths
Estimate complexity and resource needs
Assess risk for review depth decisions

2.3 Implementation Agent

Generates and integrates code artifacts.

typescript
interface ImplementationAgent {
  // Code generation
  async implementModule(spec: ModuleSpec): Promise<ModuleCode>;
  async generateTests(module: ModuleSpec): Promise<TestSuite>;
  
  // Parallel coordination
  async coordinateSwarm(tasks: Task[]): Promise<ModuleCode[]>;
  async integrateModules(modules: ModuleCode[]): Promise<Codebase>;
  
  // Self-validation
  async validateCode(code: Codebase): Promise<ValidationResult>;
  async fixIssues(code: Codebase, issues: Issue[]): Promise<Codebase>;
  
  // Refinement
  async refineFromFeedback(
    code: Codebase, 
    feedback: ReviewFeedback
  ): Promise<Codebase>;
}

Responsibilities:

Generate code from specifications
Create comprehensive test suites
Coordinate parallel development across sub-agents
Integrate modules into cohesive codebase
Self-validate against requirements
Iterate based on review feedback

2.4 Review Agent

Performs multi-layer code review combining rule-based and AI analysis.

typescript
interface ReviewAgent {
  // Analysis layers
  async runStaticAnalysis(code: Codebase): Promise<StaticIssues>;
  async runSecurityScan(code: Codebase): Promise<SecurityIssues>;
  async aiCodeReview(
    code: Codebase, 
    context: ReviewContext
  ): Promise<AIReviewComments>;
  
  // Risk assessment
  calculateRiskScore(
    code: Codebase, 
    analysis: AnalysisResults
  ): RiskScore;
  
  // Review synthesis
  synthesizeReview(
    staticResults: StaticIssues,
    securityResults: SecurityIssues,
    aiResults: AIReviewComments
  ): ComprehensiveReview;
  
  // Gate decisions
  determineGateStatus(
    review: ComprehensiveReview, 
    gates: QualityGates
  ): GateDecision;
}

Responsibilities:

Run static analysis and linting
Perform security vulnerability scanning
Execute AI-powered code review
Calculate risk scores for review depth
Synthesize findings from multiple analyzers
Enforce quality gates
Route high-risk changes to human review

2.5 Testing Agent

Manages test lifecycle from generation to execution and analysis.

typescript
interface TestingAgent {
  // Test generation
  async generateUnitTests(code: Codebase): Promise<TestSuite>;
  async generateIntegrationTests(architecture: Architecture): Promise<TestSuite>;
  async generatePropertyTests(module: ModuleSpec): Promise<TestSuite>;
  
  // Test selection
  async selectTests(
    changes: CodeChange[], 
    allTests: TestSuite
  ): Promise<TestSuite>;
  
  // Execution
  async executeTests(tests: TestSuite): Promise<TestResults>;
  async runWithRetry(test: TestCase): Promise<TestResult>;
  
  // Analysis
  async analyzeFailures(failures: TestFailure[]): Promise<FailureAnalysis>;
  async detectFlakiness(test: TestCase): Promise<FlakinessReport>;
  async suggestFixes(analysis: FailureAnalysis): Promise<SuggestedFixes>;
}

Responsibilities:

Generate tests at multiple levels (unit, integration, e2e)
Select optimal test subset based on changes
Execute tests with smart retry logic
Analyze and categorize failures
Detect flaky tests
Suggest fixes for failures
Track coverage metrics

2.6 Deployment Agent

Orchestrates CI/CD pipeline and deployment strategies.

typescript
interface DeploymentAgent {
  // Build orchestration
  async buildArtifact(code: Codebase): Promise<BuildArtifact>;
  async optimizeBuild(changes: CodeChange[]): Promise<BuildPlan>;
  
  // Deployment strategies
  async deployCanary(
    artifact: BuildArtifact, 
    config: CanaryConfig
  ): Promise<Deployment>;
  async deployBlueGreen(artifact: BuildArtifact): Promise<Deployment>;
  async deployWithFeatureFlags(
    artifact: BuildArtifact, 
    features: Feature[]
  ): Promise<Deployment>;
  
  // Validation
  async validateDeployment(deployment: Deployment): Promise<HealthResult>;
  async runSyntheticTests(deployment: Deployment): Promise<TestResult>;
  
  // Rollback
  async rollback(deployment: Deployment): Promise<void>;
  async autoRollback(metrics: Metrics): Promise<boolean>;
}

Responsibilities:

Orchestrate CI/CD pipeline stages
Optimize builds using incremental and cached builds
Execute deployment strategies (canary, blue/green, feature flags)
Validate deployments post-release
Monitor canary health metrics
Execute automated rollback on failure
Manage feature flag lifecycles

2.7 Monitoring Agent

Collects runtime telemetry and generates feedback.

typescript
interface MonitoringAgent {
  // Metrics collection
  async configureMonitoring(deployment: Deployment): Promise<void>;
  async collectMetrics(deployment: Deployment): Promise<Metrics>;
  
  // Anomaly detection
  async detectAnomalies(metrics: Metrics): Promise<Anomaly[]>;
  async diagnoseAnomaly(anomaly: Anomaly): Promise<Diagnosis>;
  
  // Feedback generation
  async generateFeedback(
    deployment: Deployment, 
    metrics: Metrics
  ): Promise<RuntimeFeedback>;
  
  // Alerting
  async alert(issue: Issue): Promise<void>;
  async escalateToHuman(issue: CriticalIssue): Promise<void>;
}

Responsibilities:

Configure monitoring for deployed services
Collect and aggregate runtime metrics
Detect anomalies using ML models
Diagnose root causes of issues
Generate feedback for learning agent
Alert on threshold violations
Escalate critical issues to humans

2.8 Learning Agent

Extracts patterns and updates organizational knowledge.

typescript
interface LearningAgent {
  // Pattern extraction
  async extractSuccessPatterns(events: ExecutionEvent[]): Promise<Pattern[]>;
  async extractErrorPatterns(errors: ErrorEvent[]): Promise<ErrorPattern[]>;
  
  // Knowledge consolidation
  async consolidateKnowledge(): Promise<void>;
  async pruneStaleKnowledge(): Promise<void>;
  
  // Feedback integration
  async learnFromReview(review: ReviewFeedback): Promise<void>;
  async learnFromFailure(failure: FailureEvent): Promise<void>;
  async learnFromSuccess(success: SuccessEvent): Promise<void>;
  
  // Knowledge retrieval
  async getRelevantPatterns(context: Context): Promise<Pattern[]>;
  async suggestApproach(requirements: Requirements): Promise<Approach>;
}

Responsibilities:

Extract patterns from execution events
Maintain GEP (Genome Evolution Protocol) knowledge base
Consolidate and prune knowledge over time
Learn from reviews, failures, and successes
Provide contextually relevant patterns to agents
Suggest approaches based on historical success

3. Agent Interfaces and Protocols

3.1 Agent Communication Protocol

Agents communicate via a message-passing protocol with shared context.

typescript
// Base message interface
interface AgentMessage {
  id: string;
  traceId: string;
  timestamp: Date;
  from: AgentId;
  to: AgentId | 'broadcast';
  type: 'request' | 'response' | 'notification' | 'event';
  priority: 1 | 2 | 3 | 4 | 5; // 1 = critical
  payload: MessagePayload;
  contextRef: ContextRef;
  ttl: number; // Time to live in seconds
}

// Message types
type MessagePayload =
  | RequestPayload
  | ResponsePayload
  | NotificationPayload
  | EventPayload;

interface RequestPayload {
  action: string;
  parameters: Record<string, unknown>;
  deadline: Date;
}

interface ResponsePayload {
  requestId: string;
  status: 'success' | 'failure' | 'partial';
  result: unknown;
  errors?: Error[];
}

interface NotificationPayload {
  event: string;
  data: unknown;
}

interface EventPayload {
  phase: Phase;
  event: string;
  data: unknown;
  metrics: EventMetrics;
}

3.2 Context Bus Interface

Shared state and event streaming for all agents.

typescript
interface ContextBus {
  // State management
  async get<T>(key: string): Promise<T | undefined>;
  async set<T>(key: string, value: T, options?: SetOptions): Promise<void>;
  async update<T>(key: string, updater: (value: T) => T): Promise<void>;
  async subscribe<T>(key: string, handler: (value: T) => void): Promise<Unsubscribe>;
  
  // Event streaming
  async emit(event: DomainEvent): Promise<void>;
  async on(eventType: string, handler: EventHandler): Promise<Unsubscribe>;
  async replay(since: Date): Promise<DomainEvent[]>;
  
  // Context snapshots
  async snapshot(): Promise<ContextSnapshot>;
  async restore(snapshot: ContextSnapshot): Promise<void>;
  
  // Locking for coordination
  async acquireLock(resource: string, ttl: number): Promise<Lock>;
}

interface DomainEvent {
  id: string;
  traceId: string;
  timestamp: Date;
  type: string;
  source: AgentId;
  payload: unknown;
  metadata: EventMetadata;
}

3.3 Human Interface Protocol

Standardized interaction points for human oversight.

typescript
interface HumanInterface {
  // Review requests
  async requestReview(context: ReviewContext): Promise<HumanReview>;
  async requestApproval(request: ApprovalRequest): Promise<ApprovalDecision>;
  async requestInput(prompt: InputPrompt): Promise<HumanInput>;
  
  // Notifications
  async notify(notification: Notification): Promise<void>;
  async alert(alert: Alert): Promise<void>;
  async sendDigest(digest: StatusDigest): Promise<void>;
  
  // Real-time collaboration
  async startCollaborationSession(context: CollaborationContext): Promise<Session>;
  async sendMessage(sessionId: string, message: Message): Promise<void>;
}

interface ReviewContext {
  phase: Phase;
  artifact: unknown;
  riskScore: RiskScore;
  automatedFindings: Finding[];
  deadline: Date;
  estimatedReviewTime: number;
}

interface ApprovalRequest {
  type: 'deploy_production' | 'security_change' | 'breaking_change' | 'high_risk';
  context: unknown;
  riskAssessment: RiskAssessment;
  automatedChecks: CheckResult[];
}

3.4 Tool Interface

Standard interface for tool execution.

typescript
interface ToolRegistry {
  // Tool discovery
  listTools(): Tool[];
  getTool(name: string): Tool | undefined;
  
  // Tool execution
  async execute<T, R>(
    toolName: string, 
    input: T, 
    options?: ExecutionOptions
  ): Promise<ToolResult<R>>;
  
  // Tool management
  registerTool(tool: Tool): void;
  unregisterTool(name: string): void;
}

interface Tool {
  name: string;
  description: string;
  inputSchema: JSONSchema;
  outputSchema: JSONSchema;
  execute: (input: unknown) => Promise<unknown>;
}

interface ToolResult<T> {
  success: boolean;
  data?: T;
  error?: ToolError;
  metrics: ExecutionMetrics;
}

4. Data Flow Between Components

4.1 Phase Transition Data Flow

┌────────────────────────────────────────────────────────────────────────────┐
│                           DATA FLOW DIAGRAM                                │
└────────────────────────────────────────────────────────────────────────────┘

PHASE 1: PLANNING
=================
Human Input → Requirements
                   │
                   ▼
            PlanningAgent
                   │
                   ├──▶ Analysis (stories, estimates, risks)
                   ├──▶ Architecture (design, components)
                   └──▶ Implementation Plan
                            │
                            ▼
                    ContextBus.set('plan', plan)
                            │
                            ▼
                    SDLCOrchestrator.checkpoint()
                            │
                            ▼
PHASE 2: IMPLEMENTATION
=======================
            ImplementationAgent
                   │
                   ▼
         (Parallel swarm execution)
                   │
                   ├──▶ Module A code + tests
                   ├──▶ Module B code + tests
                   └──▶ Module C code + tests
                            │
                            ▼
                   Integration
                            │
                            ▼
                    Codebase
                            │
                            ▼
                    ContextBus.set('codebase', codebase)
                            │
                            ▼
                    SDLCOrchestrator.checkpoint()
                            │
                            ▼
PHASE 3: REVIEW
===============
              ReviewAgent
                   │
                   ├──▶ Static Analysis ──┐
                   ├──▶ Security Scan ────┼──▶ Synthesis
                   └──▶ AI Review ────────┘
                                          │
                                          ▼
                                    ComprehensiveReview
                                          │
                                          ▼
                                   Risk Assessment
                                          │
                    ┌─────────────────────┴─────────────────────┐
                    │                                           │
              Low Risk                                    High Risk
                    │                                           │
                    ▼                                           ▼
              Auto-approve                             Human Review Request
                    │                                           │
                    ▼                                           ▼
            ContextBus.set()                              Human Decision
                    │                                           │
                    ▼                                           ▼
PHASE 4: TESTING
================
              TestingAgent
                   │
                   ├──▶ Test Generation (unit, integration)
                   ├──▶ Test Selection (risk-based)
                   └──▶ Test Execution
                            │
                            ▼
                       TestResults
                            │
                    ┌───────┴───────┐
                    │               │
                 Passed         Failed
                    │               │
                    ▼               ▼
              Continue         Failure Analysis
                    │               │
                    │         ┌─────┴─────┐
                    │         │           │
                    │    Auto-fix    Escalate
                    │         │           │
                    │         ▼           ▼
                    │    Re-test      Human Input
                    │         │
                    └────┬────┘
                         ▼
PHASE 5: DEPLOYMENT
===================
             DeploymentAgent
                   │
                   ├──▶ Build Optimization
                   ├──▶ Security Gates
                   └──▶ Deployment Strategy
                            │
                            ▼
                       Canary Deployment
                            │
                            ▼
                       Health Monitoring
                            │
                    ┌───────┴───────┐
                    │               │
                  Healthy        Unhealthy
                    │               │
                    ▼               ▼
              Full Rollout      Auto-Rollback
                    │               │
                    ▼               ▼
PHASE 6: MONITORING
===================
             MonitoringAgent
                   │
                   ├──▶ Metrics Collection
                   ├──▶ Anomaly Detection
                   └──▶ Feedback Generation
                            │
                            ▼
                    LearningAgent.learn()
                            │
                            ▼
                    Knowledge Update
                            │
                            ▼
                    Feedback Loop → PlanningAgent (for next iteration)

4.2 Feedback Loop Data Flow

┌─────────────────────────────────────────────────────────────────────────────┐
│                        FEEDBACK LOOP ARCHITECTURE                           │
└─────────────────────────────────────────────────────────────────────────────┘

                              ┌──────────────┐
                              │   Execution  │
                              │    Events    │
                              └──────┬───────┘
                                     │
            ┌────────────────────────┼────────────────────────┐
            │                        │                        │
            ▼                        ▼                        ▼
   ┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
   │  Success Events │    │  Failure Events │    │  Review Events  │
   └────────┬────────┘    └────────┬────────┘    └────────┬────────┘
            │                      │                      │
            ▼                      ▼                      ▼
   ┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
   │ Extract Success │    │ Extract Error   │    │ Extract Review  │
   │    Patterns     │    │    Patterns     │    │    Patterns     │
   └────────┬────────┘    └────────┬────────┘    └────────┬────────┘
            │                      │                      │
            └──────────────────────┼──────────────────────┘
                                   │
                                   ▼
                         ┌─────────────────┐
                         │  LearningAgent  │
                         │   Consolidate   │
                         └────────┬────────┘
                                  │
                    ┌─────────────┼─────────────┐
                    │             │             │
                    ▼             ▼             ▼
           ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
           │    Genes    │ │  Capsules   │ │   Events    │
           │  (Triggers) │ │ (Solutions) │ │  (History)  │
           └─────────────┘ └─────────────┘ └─────────────┘
                    │             │             │
                    └─────────────┼─────────────┘
                                  │
                                  ▼
                         ┌─────────────────┐
                         │  Knowledge Base │
                         │    (Vector      │
                         │     Store)      │
                         └────────┬────────┘
                                  │
                    ┌─────────────┴─────────────┐
                    │                           │
                    ▼                           ▼
          ┌─────────────────┐         ┌─────────────────┐
          │  PlanningAgent  │         │ImplementationAgent
          │ (suggest arch)  │         │ (suggest impl)  │
          └─────────────────┘         └─────────────────┘

5. Data Models

5.1 Core Entity Models

typescript
// ==================== REQUIREMENTS ====================

interface Requirements {
  id: string;
  title: string;
  description: string;
  type: 'feature' | 'bugfix' | 'refactor' | 'spike';
  priority: 'critical' | 'high' | 'medium' | 'low';
  source: 'human' | 'feedback' | 'system';
  acceptanceCriteria: AcceptanceCriterion[];
  constraints: Constraint[];
  dependencies: string[]; // Requirement IDs
  metadata: RequirementMetadata;
}

interface AcceptanceCriterion {
  id: string;
  given: string;
  when: string;
  then: string;
  priority: 'must' | 'should' | 'could';
}

interface Constraint {
  type: 'performance' | 'security' | 'scalability' | 'cost' | 'time';
  description: string;
  metric?: string;
  threshold?: number;
}

// ==================== ARCHITECTURE ====================

interface Architecture {
  id: string;
  requirementsId: string;
  components: Component[];
  interfaces: InterfaceDefinition[];
  dataModels: DataModel[];
  dependencies: ExternalDependency[];
  diagrams: Diagram[];
  decisions: ArchitectureDecision[];
}

interface Component {
  id: string;
  name: string;
  type: 'service' | 'library' | 'function' | 'module';
  responsibilities: string[];
  interfaces: string[]; // Interface IDs
  dependencies: string[]; // Component IDs
  technologies: string[];
}

interface ArchitectureDecision {
  id: string;
  title: string;
  context: string;
  decision: string;
  consequences: string[];
  alternatives: string[];
  status: 'proposed' | 'accepted' | 'deprecated' | 'superseded';
}

// ==================== CODEBASE ====================

interface Codebase {
  id: string;
  architectureId: string;
  modules: Module[];
  tests: TestCase[];
  documentation: Documentation[];
  metadata: CodebaseMetadata;
}

interface Module {
  id: string;
  path: string;
  language: string;
  content: string;
  ast?: ASTNode;
  imports: string[];
  exports: string[];
  complexity: ComplexityMetrics;
  dependencies: string[]; // Module IDs
}

interface ComplexityMetrics {
  cyclomatic: number;
  cognitive: number;
  linesOfCode: number;
  linesOfComments: number;
}

// ==================== REVIEW ====================

interface ComprehensiveReview {
  id: string;
  codebaseId: string;
  staticAnalysis: StaticAnalysisResult;
  securityScan: SecurityScanResult;
  aiReview: AIReviewResult;
  riskScore: RiskScore;
  findings: Finding[];
  decision: ReviewDecision;
  timestamp: Date;
}

interface Finding {
  id: string;
  type: 'style' | 'performance' | 'security' | 'maintainability' | 'correctness';
  severity: 'info' | 'warning' | 'error' | 'critical';
  category: string;
  message: string;
  file: string;
  line: number;
  column: number;
  confidence: number;
  fixable: boolean;
  suggestedFix?: CodeChange;
}

interface RiskScore {
  total: number;
  components: {
    complexity: number;
    criticality: number;
    changeSize: number;
    testCoverage: number;
    authorExperience: number;
  };
  level: 'low' | 'medium' | 'high' | 'critical';
}

// ==================== TESTING ====================

interface TestSuite {
  id: string;
  codebaseId: string;
  tests: TestCase[];
  coverage: CoverageReport;
}

interface TestCase {
  id: string;
  name: string;
  type: 'unit' | 'integration' | 'e2e' | 'property' | 'fuzz';
  target: string; // Module or function being tested
  code: string;
  assertions: Assertion[];
  setup?: string;
  teardown?: string;
  metadata: TestMetadata;
}

interface TestResults {
  id: string;
  suiteId: string;
  timestamp: Date;
  duration: number;
  summary: {
    total: number;
    passed: number;
    failed: number;
    skipped: number;
  };
  results: TestResult[];
}

interface TestResult {
  testId: string;
  status: 'passed' | 'failed' | 'skipped' | 'flaky';
  duration: number;
  error?: TestError;
  output?: string;
}

interface CoverageReport {
  lineCoverage: number;
  branchCoverage: number;
  functionCoverage: number;
  uncovered: UncoveredLine[];
}

// ==================== DEPLOYMENT ====================

interface Deployment {
  id: string;
  codebaseId: string;
  artifact: BuildArtifact;
  strategy: 'canary' | 'blue_green' | 'rolling' | 'feature_flag';
  environment: 'staging' | 'production';
  status: 'pending' | 'in_progress' | 'healthy' | 'degraded' | 'failed' | 'rolled_back';
  stages: DeploymentStage[];
  metrics: DeploymentMetrics;
  timestamp: Date;
}

interface BuildArtifact {
  id: string;
  version: string;
  checksum: string;
  size: number;
  files: ArtifactFile[];
  metadata: ArtifactMetadata;
}

interface DeploymentMetrics {
  leadTime: number; // milliseconds from commit to production
  deploymentDuration: number;
  healthCheckDuration: number;
  rollbackDuration?: number;
}

// ==================== MONITORING ====================

interface Metrics {
  deploymentId: string;
  timestamp: Date;
  window: { start: Date; end: Date };
  metrics: {
    errorRate: number;
    latency: { p50: number; p95: number; p99: number };
    throughput: number;
    saturation: number;
  };
  anomalies: Anomaly[];
}

interface Anomaly {
  id: string;
  metric: string;
  observedValue: number;
  expectedValue: number;
  deviation: number;
  severity: 'warning' | 'critical';
  timestamp: Date;
}

// ==================== LEARNING ====================

interface Pattern {
  id: string;
  type: 'success' | 'failure' | 'approach';
  context: string;
  pattern: string;
  outcome: string;
  frequency: number;
  confidence: number;
  lastObserved: Date;
}

interface ErrorPattern {
  id: string;
  type: string;
  signature: string;
  frequency: number;
  contexts: string[];
  resolutions: Resolution[];
  prevention: PreventionStrategy;
}

// GEP Protocol Structures
interface Gene {
  id: string;
  triggers: SignalPattern[];
  pattern: string;
  priority: number;
  mutations: number;
}

interface Capsule {
  id: string;
  context: string;
  solution: string;
  successRate: number;
  applications: number;
}

interface LearningEvent {
  id: string;
  timestamp: Date;
  trigger: Signal;
  reflection: ReflectionResult;
  memoryUpdate: MemoryChange;
  actionTaken: string;
  outcome: string;
}

5.2 Event Models

typescript
// Domain events for audit trail and event sourcing

interface PhaseStartedEvent {
  type: 'phase.started';
  phase: Phase;
  input: unknown;
  timestamp: Date;
}

interface PhaseCompletedEvent {
  type: 'phase.completed';
  phase: Phase;
  output: unknown;
  duration: number;
  timestamp: Date;
}

interface PhaseFailedEvent {
  type: 'phase.failed';
  phase: Phase;
  error: Error;
  recoverable: boolean;
  timestamp: Date;
}

interface HumanReviewRequestedEvent {
  type: 'human_review.requested';
  context: ReviewContext;
  deadline: Date;
  timestamp: Date;
}

interface HumanDecisionReceivedEvent {
  type: 'human.decision';
  requestId: string;
  decision: 'approved' | 'rejected' | 'changes_requested';
  feedback?: string;
  timestamp: Date;
}

interface FindingDetectedEvent {
  type: 'finding.detected';
  finding: Finding;
  analyzer: string;
  timestamp: Date;
}

interface DeploymentStatusChangedEvent {
  type: 'deployment.status_changed';
  deploymentId: string;
  previousStatus: DeploymentStatus;
  newStatus: DeploymentStatus;
  reason: string;
  timestamp: Date;
}

interface AnomalyDetectedEvent {
  type: 'anomaly.detected';
  deploymentId: string;
  anomaly: Anomaly;
  timestamp: Date;
}

interface KnowledgeUpdatedEvent {
  type: 'knowledge.updated';
  patternId: string;
  updateType: 'created' | 'updated' | 'pruned';
  timestamp: Date;
}

6. Integration Points

6.1 External System Integrations

System	Integration Type	Purpose
GitHub/GitLab	REST API + Webhooks	PR creation, code checkout, review comments, status checks
Jira/Linear	REST API	Issue tracking, requirement syncing, status updates
CI/CD Platforms	REST API + CLI	Pipeline triggers, build orchestration, artifact management
Cloud Providers	REST API + SDK	Infrastructure provisioning, deployment, monitoring setup
Observability Tools	REST API + Agents	Metrics collection, alerting, dashboard creation
Security Scanners	REST API + CLI	SAST, DAST, dependency scanning, vulnerability management
LLM Providers	REST API	Code generation, review, analysis, reasoning
Secret Managers	REST API + SDK	Credential retrieval, rotation, secure storage

6.2 Integration Interfaces

typescript
// Git Provider Integration
interface GitProvider {
  async checkout(repo: Repository, ref: string): Promise<WorkingCopy>;
  async createPR(change: CodeChange): Promise<PullRequest>;
  async postReviewComment(pr: PR, comment: ReviewComment): Promise<void>;
  async updateStatusCheck(pr: PR, check: StatusCheck): Promise<void>;
  async mergePR(pr: PR, options: MergeOptions): Promise<void>;
}

// CI/CD Integration
interface CICDPlatform {
  async triggerPipeline(config: PipelineConfig): Promise<PipelineRun>;
  async getPipelineStatus(runId: string): Promise<PipelineStatus>;
  async getArtifacts(runId: string): Promise<Artifact[]>;
  async cancelPipeline(runId: string): Promise<void>;
}

// Cloud Provider Integration
interface CloudProvider {
  async deploy(service: ServiceConfig, artifact: Artifact): Promise<Deployment>;
  async scale(serviceId: string, replicas: number): Promise<void>;
  async getMetrics(serviceId: string, window: TimeWindow): Promise<Metrics>;
  async setupMonitoring(service: ServiceConfig): Promise<void>;
}

// Monitoring Integration
interface MonitoringPlatform {
  async createDashboard(service: ServiceConfig): Promise<Dashboard>;
  async setupAlerts(service: ServiceConfig, rules: AlertRule[]): Promise<void>;
  async queryMetrics(query: string, window: TimeWindow): Promise<MetricData>;
  async createSyntheticTest(test: SyntheticTest): Promise<void>;
}

// LLM Provider Integration
interface LLMProvider {
  async generate(prompt: string, options: GenerateOptions): Promise<Generation>;
  async chat(messages: Message[], options: ChatOptions): Promise<ChatResponse>;
  async embed(text: string): Promise<Embedding>;
}

7. Safety and Reliability

7.1 Circuit Breakers

typescript
interface CircuitBreakerConfig {
  // Phase-level limits
  maxPhaseDuration: { [phase: string]: number }; // milliseconds
  maxPhaseCost: { [phase: string]: number }; // dollars
  maxPhaseIterations: { [phase: string]: number };
  
  // Global limits
  maxTotalDuration: number;
  maxTotalCost: number;
  maxTotalIterations: number;
  
  // Human approval gates
  requireHumanApproval: {
    productionDeploy: boolean;
    securityChanges: boolean;
    breakingChanges: boolean;
    highRiskChanges: boolean;
  };
  
  // Auto-rollback triggers
  rollbackTriggers: {
    errorRateThreshold: number;
    latencyThreshold: number;
    availabilityThreshold: number;
  };
}

7.2 Checkpoint and Recovery

typescript
interface CheckpointSystem {
  async createCheckpoint(
    phase: Phase, 
    state: unknown, 
    metadata: CheckpointMetadata
  ): Promise<Checkpoint>;
  
  async listCheckpoints(traceId: string): Promise<Checkpoint[]>;
  async restoreCheckpoint(checkpointId: string): Promise<State>;
  async compareCheckpoints(a: string, b: string): Promise<Diff>;
}

interface Checkpoint {
  id: string;
  traceId: string;
  phase: Phase;
  timestamp: Date;
  state: unknown;
  metadata: CheckpointMetadata;
}

8. Deployment Architecture

8.1 Runtime Architecture

┌─────────────────────────────────────────────────────────────────────────────┐
│                            KUBERNETES CLUSTER                               │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  ┌─────────────────────────────────────────────────────────────────────┐   │
│  │                        ORCHESTRATOR NAMESPACE                        │   │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌────────────┐ │   │
│  │  │ Orchestrator│  │   Context   │  │   Human     │  │  Event     │ │   │
│  │  │   Service   │  │    Bus      │  │   Gateway   │  │  Store     │ │   │
│  │  └─────────────┘  └─────────────┘  └─────────────┘  └────────────┘ │   │
│  └─────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌─────────────────────────────────────────────────────────────────────┐   │
│  │                         AGENT NAMESPACE                              │   │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌────────────┐ │   │
│  │  │  Planning   │  │Implementation│  │   Review    │  │  Testing   │ │   │
│  │  │   Agent     │  │    Agent     │  │    Agent    │  │   Agent    │ │   │
│  │  └─────────────┘  └─────────────┘  └─────────────┘  └────────────┘ │   │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐                  │   │
│  │  │  Deployment │  │  Monitoring │  │   Learning  │                  │   │
│  │  │    Agent    │  │    Agent    │  │    Agent    │                  │   │
│  │  └─────────────┘  └─────────────┘  └─────────────┘                  │   │
│  └─────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
│  ┌─────────────────────────────────────────────────────────────────────┐   │
│  │                        DATA NAMESPACE                                │   │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌────────────┐ │   │
│  │  │   Vector    │  │   Graph     │  │   Document  │  │   Cache    │ │   │
│  │  │    Store    │  │    DB       │  │    Store    │  │   (Redis)  │ │   │
│  │  └─────────────┘  └─────────────┘  └─────────────┘  └────────────┘ │   │
│  └─────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────────────────┐
│                         EXTERNAL SERVICES                                   │
├─────────────────────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐ │
│  │   GitHub    │  │    LLM      │  │   Cloud     │  │  Observability      │ │
│  │    API      │  │  Providers  │  │  Providers  │  │  (Datadog/etc)      │ │
│  └─────────────┘  └─────────────┘  └─────────────┘  └─────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘

9. Open Questions and Future Work

9.1 Architecture Decisions Pending

Agent Granularity: Many small specialized agents vs. fewer larger agents with tool use
Consensus Mechanisms: How to resolve conflicts between agent recommendations
Cost Optimization: Dynamic scaling of agent resources based on workload
Multi-tenancy: Isolation between different teams/projects using the platform

9.2 Research Gaps

Optimal human-AI collaboration patterns
Long-term maintainability of agent-generated code
Legal and IP implications of AI-generated code
Cross-project learning and knowledge transfer
Handling of novel/ambiguous requirements

9.3 Future Enhancements

Natural language requirements interface
Visual design-to-code pipeline
Automated documentation generation and maintenance
Cross-language refactoring capabilities
Integration with design systems and component libraries

Appendix A: Glossary

Term	Definition
Agent	An autonomous software entity that perceives, reasons, and acts
Agentic Loop	The perceive-reason-act-learn cycle of agent operation
Canary Deployment	Gradual rollout to a subset of users with monitoring
Circuit Breaker	A safety mechanism that halts operations when thresholds are exceeded
Context Bus	Shared state and event streaming infrastructure
GEP Protocol	Genome Evolution Protocol for learning and adaptation
HITL	Human-in-the-loop, required human approval or input
SDLC	Software Development Lifecycle
Swarm	Multiple agents working in parallel on related tasks

Document generated from research corpus synthesis - 2026-02-06