codetether-agent 0.1.5

A2A-native AI coding agent for the CodeTether ecosystem
Documentation
{
  "feature_name": "Ralph - Autonomous PRD-Driven Development",
  "description": "An autonomous AI agent loop that executes user stories from a structured Product Requirements Document (PRD). Ralph iteratively implements features, maintains state across iterations through git history and persistence files, and ensures quality through automated checks.",
  "key_capabilities": {
    "autonomous_implementation": {
      "description": "Self-directed development loop that processes PRD user stories without human intervention",
      "details": [
        "Iterative execution with fresh context per iteration",
        "Automatic story selection and implementation",
        "Git-based progress tracking with descriptive commits",
        "Handles dependencies between stories automatically"
      ]
    },
    "quality_checks": {
      "description": "Automated validation at multiple stages to ensure code quality",
      "checks": {
        "build": "Verify project compiles successfully",
        "lint": "Enforce code style and catch common issues",
        "test": "Run test suite to prevent regressions",
        "typecheck": "Validate type safety where applicable"
      },
      "failure_handling": "Automatic rollback and retry on quality check failures"
    },
    "memory_persistence": {
      "description": "State management across autonomous iterations",
      "mechanisms": {
        "git_history": "Commit history provides complete implementation trail",
        "progress_txt": "Text file capturing learnings and context from previous iterations",
        "prd_json": "Structured document tracking completed and pending stories"
      },
      "benefits": [
        "Iteration isolation - each run starts fresh but informed",
        "Auditability - complete history of decisions and changes",
        "Recovery - ability to resume from any point"
      ]
    }
  },
  "technical_requirements": {
    "input_format": {
      "type": "JSON PRD file",
      "schema": {
        "project": "string - Project name",
        "feature": "string - Feature name",
        "stories": [
          {
            "id": "string - Unique identifier",
            "title": "string - Story title",
            "description": "string - What needs to be implemented",
            "acceptance_criteria": ["array of strings"],
            "complexity": "number - Story points or complexity estimate",
            "priority": "number - Execution priority",
            "depends_on": ["array of story IDs"]
          }
        ],
        "quality_checks": {
          "build": "string - Build command",
          "lint": "string - Lint command",
          "test": "string - Test command",
          "typecheck": "string - Type check command"
        }
      }
    },
    "persistence_files": {
      "prd_json": "prd.json - Source of truth for story status",
      "progress_txt": "progress.txt - Context and learnings storage"
    },
    "execution_model": {
      "loop_type": "Autonomous agent with iteration limit",
      "default_max_iterations": 10,
      "termination_conditions": [
        "All stories completed",
        "Maximum iterations reached",
        "Unrecoverable error",
        "Quality checks consistently failing"
      ]
    },
    "integration": {
      "prd_tool": "Structured PRD generation and validation",
      "commands": ["analyze", "generate", "validate", "save"],
      "ralph_tool": "Execution engine with run/status/create-prd actions"
    }
  }
}