DNA-Lang™ SRS: Living Software Genetic Blueprint
- Introduction Purpose Provide a detailed Software Requirements Specification for DNA-Lang, turning the high-level vision into concrete language features, runtime requirements, and a curated Standard Gene Library.
Scope Covers grammar, compiler, runtime engine, security model, inter-organism mesh, and the initial set of genes with full definitions and safety tests.
- System Overview Language Goal Create self-evolving, self-healing software organisms that adapt automatically to changing demands and threats.
Primary Users Platform architects, AI/ML engineers, DevOps/security specialists.
Key Use Cases E-commerce microservices Clinical pipelines Defense command systems Environmental monitoring networks 3. Functional Requirements Core Language Parser & Validator Full BNF parser for dnaorganism, dnagene, dnaevolution, dnaimmune_system, dnaoptimization blocks. Semantic checks: type consistency, agent references, mutation constraints. Compilation Pipeline Convert DNA-Lang AST to IR; generate JS/TS or WASM modules. Integrate safety verifier: static analysis of mutation code. Runtime & Evolution Engine Sandbox executor for mutations: isolate per-gene evaluation. Trigger engine: evaluate dnaevolution conditions, apply mutations atomically. Fitness evaluation: compute weighted metrics (performance, security, UX) and accept/reject. Agent Framework Agent lifecycle: init → observe → act → report. Pub/Sub bus (gRPC/Redis) for inter-agent messaging and conflict resolution. Immune System Threat pattern matcher for dnaimmune_system: detect SQLi, XSS, XXE, DoS. Automatic immune responses: patch, throttle, quarantine agents. Hot-Swap & Rollback Zero-downtime code swapping: load new gene modules on the fly. Instant rollback on runtime exceptions or test failures. Inter-Organism Mesh Secure, TLS-encrypted mesh network. Version negotiation: ensure genes shared between organisms are ABI-compatible. 4. Non-Functional Requirements Performance: Sub-50 ms mutation evaluation; < 100 μs agent dispatch latency. Scalability: Support 10,000 organisms across a Kubernetes cluster. Reliability: Achieve 99.999% uptime; built-in health checks and auto-healing. Security: FIPS-validated crypto; SELinux/AppArmor confinement; audit logging. Maintainability: Clear diagnostics, stack traces, and automated test generation. 5. Architecture & Components DNA Compiler (Python): Lexer → Parser → IR → Codegen plugins. DNARuntime (Node.js + WASM): Secure sandbox for gene code and mutations. Agent Bus: gRPC + Redis Streams for high-throughput messaging. Immune Monitor: Rule engine (Drools) + ML anomaly detector. Persistence: Supabase/Postgres for genome store; pgvector for RAG context. Control Plane: Kubernetes CRDs for organism lifecycle management. 6. Grammar Refinement (BNF) Copy ::= * ::= "dnaorganism" "{" "}" ::= "dna" "{" * "}" ::= "genome" "{" * "}" ::= "dnagene" "{" ? ? "}" ::= "agents" "{" * "}" ::= "mutations" "{" * "}" ::= "dnaimmune_system" "{" * ? "}" ::= "implementation" "{" * "}" ::= "adaptive_responses" "{" "(" ? ")" ";" "}" 7. Standard Gene Library 7.1 AuthenticationGene Copy dnagene AuthenticationGene { purpose: "Secure user identity verification"; implementation { strategy jwtWithRefresh { mutation_safety: high; code { async authenticate(creds: UserCreds) -> AuthToken { const token = await jwt.sign(creds, secret, { expiresIn: '1h' }); this.evolve.track('authenticate'); return { token, expiry: Date.now() + 3600_000 }; } } } } mutations { enhanceSecurity: { addBiometricLayer(); rotateSecrets(); }; improvePerformance: { cacheUserSessions(); batchTokenRefresh(); }; } immune_responses { bruteForceDetected: rateLimitAndNotify; tokenLeak: invalidateSessions; } } 7.2 PerformanceGene Copy dnagene PerformanceGene { purpose: "Auto-tune database access and caching"; implementation { strategy dynamicIndexing { mutation_safety: medium; code { const plan = await db.explain(query); if (plan.needsIndex) db.createIndex(plan.suggestedIndex); this.evolve.track('db-opt'); } } } mutations { suggestShard: { analyzeShardKey(); splitLargeTables(); }; optimizeCache: { adjustTTL(300); prewarmHotKeys(); }; } immune_responses { highLatency: triggerCircuitBreaker; } } 8. Detailed Design Plans Parser & AST Design Tokenization & Lexing: Use a two-pass lexer. AST Node Structure: Interface for AST nodes. Parser Algorithm: Consume program, organism, block, etc. Semantic Validation: Check uniqueness of gene IDs, validate references, ensure mutation paths are reachable. Gene Library Expansion 8.1 SecurityGene Copy dnagene SecurityGene { purpose: "Enforce CSP, RBAC, and WAF rules"; implementation { strategy policyEnforcement { mutation_safety: high; code { applyCSP(); enforceRBAC(); this.evolve.track('security-config'); } } } mutations { tightenCSP: { increaseDirectiveStrictness(); }; rotateRoles: { shuffleRBACRoles(); }; } immune_responses { xssAttempt: sanitizeInputs; unauthorizedAccess: blockAndAlert; } } 8.2 DatabaseAccessGene Copy dnagene DatabaseAccessGene { purpose: "Safe DB queries & pooling"; implementation { strategy connectionPool { mutation_safety: medium; code { this.evolve.track('db-pool-init'); pool = createPool(config); } } } mutations { autoIndex: { analyzeSlowQueries(); createIndexes(); }; shardTables: { detectHotTables(); splitTable(); }; } immune_responses { dbDown: failoverToReplica; sqlError: rollbackAndAlert; } } 8.3 UIComponentGene Copy dnagene UIComponentGene { purpose: "Adaptive UI layouts"; implementation { strategy responsiveDesign { mutation_safety: low; code { const layout = detectViewport(); applyLayout(layout); this.evolve.track('ui-adapt'); } } } mutations { themeVariation: { randomizePalette(); }; componentSwap: { swapButtonStyle(); }; } immune_responses { accessibilityIssue: enhanceContrast; } } 9. Gene Library Roadmap Gene ID Purpose Status SecurityGene App-wide policies (CSP, RBAC, WAF) Drafted DatabaseAccessGene Safe DB queries, pooling, index suggestions Planned UIComponentGene Adaptive, A/B tested UI traits In Design LoggingGene Structured logs, dynamic sampling Draft ErrorHandlingGene Unified exceptions, circuit breakers Planned CacheGene CDN, in-memory cache strategies Planned ComplianceGene GDPR/HIPAA audit trails, data governance Planned AnalyticsGene Telemetry, anomaly detection, KPI tracking In Design DeploymentGene CI/CD integration, rollback gates Drafted NetworkGene Adaptive load balancers, auto-scaling policies Drafted