DNA-Lang: The Genetic Programming Language

🧬 DNA-Lang is a revolutionary programming language that treats code as living organisms with genetic traits, evolution capabilities, and AI agent collaboration built-in.

🚀 Quick Start

Installation

npm install
npm run build

Create Your First Organism

# Create a new organism
node dist/cli.js new MyApp

# Compile to TypeScript
node dist/cli.js compile MyApp.dna

# Run the living organism
node dist/cli.js run MyApp.dna

🧬 Language Features

1. Organism Definition

Define living software organisms with DNA, genome, and agent collaborations:

organism ECommerceApp {
    dna {
        domain: "ecommerce"
        scale: "enterprise"
        security_level: "high"
        evolution_rate: "adaptive"
        immune_system: enabled
    }

    genome {
        trait performance_optimized: always_active
        trait security_hardened: paranoid_mode
        trait user_experience: delightful
    }

    agents {
        architect: ArchitectAgent(focus: microservices)
        security: SecurityAgent(vigilance: maximum)
        developer: DeveloperAgent(speed: fast)
    }
}

2. Agent Collaboration

Define how AI agents collaborate to build features:

collaboration BuildPaymentFlow {
    participants: ["architect", "security", "developer"]
    workflow: [
        "architect.design_flow",
        "security.validate_design",
        "developer.implement",
        "security.audit"
    ]
    conflict_resolution: {
        security_vs_speed: prioritize_security,
        complexity_vs_simplicity: favor_simplicity
    }
}

3. Gene Definition (Coming Soon)

Define genetic code that can evolve and self-optimize:

gene DatabaseQuery {
    purpose: "High-performance database operations"
    security_level: critical

    implementation: {
        strategy: connection_pooling,
        code: "async function query(sql) { /* implementation */ }"
    }

    mutations: {
        optimize_performance: {
            methods: ["indexing", "caching", "query_rewriting"],
            target: "response_time < 50ms"
        }
    }

    immune_responses: {
        sql_injection: "sanitize_and_block",
        slow_query: "optimize_automatically"
    }
}

💻 Generated Output

DNA-Lang transpiles to:

1. TypeScript Code - Living organism classes with evolution and self-healing
2. Agent Configurations - JSON configs for AI agent coordination
3. Metadata - Organism DNA, capabilities, and collaboration rules

Example Generated TypeScript

export class ECommerceApp implements OrganismInterface {
  public readonly dna: DNAConfig = {
    domain: "ecommerce",
    scale: "enterprise",
    security_level: "high",
    evolution_rate: "adaptive",
    immune_system: true
  };

  public readonly agents = new Map<string, AgentInterface>();

  constructor() {
    this.initializeAgents();
    this.startEvolutionLoop();
  }

  public async evolve(): Promise<void> {
    console.log("🧬 ECommerceApp is evolving...");
    await this.performanceOptimized();
    await this.securityHardened();
    await this.userExperience();
  }

  public async selfHeal(): Promise<void> {
    if (this.dna.immune_system) {
      console.log("🛡️ ECommerceApp immune system activating...");
      // Self-healing logic here
    }
  }
}

🎯 Use Cases

1. Multi-Agent Development

• Coordinate architect, developer, security, and QA agents
• Automated code review and optimization workflows
• Conflict resolution between competing priorities

2. Self-Evolving Applications

• Applications that improve performance over time
• Automatic security patching and hardening
• Adaptive user experience optimization

3. Enterprise Integration

• Living APIs that evolve with usage patterns
• Self-healing microservices
• Genetic compliance and governance

🧪 Examples

Basic Organism

node dist/cli.js compile examples/simple-test.dna

E-Commerce App (Work in Progress)

node dist/cli.js compile examples/basic-organism.dna

🔧 Development

Project Structure

dna-lang/
├── src/
│   ├── lexer.ts      # Tokenizes DNA-Lang source
│   ├── parser.ts     # Builds AST from tokens
│   ├── transpiler.ts # Converts AST to TypeScript
│   ├── cli.ts        # Command-line interface
│   └── types.ts      # Type definitions
├── examples/         # Example organisms
└── dist/            # Compiled output

Building

npm run build        # Compile TypeScript
npm run dev          # Development mode
npm test            # Run tests (coming soon)

🌟 Roadmap

Phase 1: Core Language ✅

• Basic organism, agent, and collaboration syntax
• TypeScript transpilation
• CLI tool
• Agent configuration generation

Phase 2: Evolution Engine (In Progress)

• Gene definition and mutation system
• Safe code evolution framework
• Performance optimization genetics
• Immune system implementation

Phase 3: Agent Integration

• Real AI agent coordination
• Live collaboration workflows
• Conflict resolution algorithms
• Multi-agent debugging tools

Phase 4: Advanced Features

• Inter-organism communication
• Collective intelligence network
• Visual DNA helix code editor
• Genetic marketplace

🤝 Contributing

DNA-Lang is the future of software development. Join us in creating the first programming language where code evolves, protects itself, and collaborates through AI agents.

📜 License

MIT License - See LICENSE file

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DNA-Lang: Where Code Becomes Life 🧬✨

Experimental: ANTLR Grammar & Nested Block Support

Parser Refinement (In Progress)

• The DNA-Lang parser is being upgraded to support deeper/nested block structures (e.g., blocks within blocks for mutations, implementation, etc.).
• This will allow for more expressive DNA-Lang constructs and future extensibility.

ANTLR Grammar Branch (Experimental)

• An experimental branch is being created to explore using ANTLR for DNA-Lang parsing.
• ANTLR grammar files will be placed in a new directory: src/antlr/.
• This branch will not disrupt mainline progress and will be used for research and prototyping a robust grammar.

How to Contribute/Experiment

• To try the ANTLR grammar, see src/antlr/DNALang.g4 (to be created).
• Contributions to both the hand-written parser and the ANTLR grammar are welcome.