+-----------------------------------------------------------------------------+
|                          AUTONOMOUS AGENT RUNTIME                            |
|                                                                             |
|  [ Objective / Issue Tracker ]                                               |
|               |                                                             |
|               v                                                             |
|  +--------------------------+        +-----------------------------------+  |
|  |  1. GOAL DECOMPOSITION   | -----> | Context Assembly via MCP          |  |
|  |  (Spec & Sub-task Graph) |        | (AST, Git History, Vector Store)  |  |
|  +--------------------------+        +-----------------------------------+  |
|               |                                       |                     |
|               v                                       v                     |
|  +--------------------------+        +-----------------------------------+  |
|  |  2. SANDBOX EXECUTION    | -----> | Tool Invocation                   |  |
|  |  (Ephemeral MicroVM)     |        | (File I/O, Bash, Debugger, LSP)   |  |
|  +--------------------------+        +-----------------------------------+  |
|               |                                       |                     |
|               v                                       v                     |
|  +--------------------------+        +-----------------------------------+  |
|  |  3. DETERMINISTIC        |        | AST Diff Validation               |  |
|  |     VERIFICATION         | -----> | Unit / E2E Test Runner            |  |
|  |  (Self-Correction Loop)  |        | Runtime Crash Trace Analyzer      |  |
|  +--------------------------+        +-----------------------------------+  |
|               | (Failed)                              | (Passed)            |
|               +----------------- Re-plan <------------+                     |
|                                                       |                     |
|                                                       v                     |
|                                         [ Verified Pull Request / Deploy ]  |
+-----------------------------------------------------------------------------+

// agent-orchestrator.ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

interface ExecutionResult {
  exitCode: number;
  stdout: string;
  stderr: string;
}

export class AutonomousCodingAgent {
  private mcpClient: Client;
  private maxRetries: number = 5;

  constructor(transportCommand: string, transportArgs: string[]) {
    const transport = new StdioClientTransport({
      command: transportCommand,
      args: transportArgs,
    });
    this.mcpClient = new Client({ name: "AutonomousAgentEngine", version: "2026.1.0" }, { capabilities: { tools: {} } });
    this.mcpClient.connect(transport);
  }

  public async resolveIssue(taskObjective: string, targetFile: string): Promise<boolean> {
    console.log(`[AGENT] Menerima Objektif: "${taskObjective}" pada berkas: ${targetFile}`);
    
    let attempt = 0;
    let isResolved = false;

    while (attempt < this.maxRetries && !isResolved) {
      attempt++;
      console.log(`[LOOP] Siklus Iterasi Eksplorasi ke-${attempt}...`);

      // 1. Baca isi berkas saat ini melalui MCP
      const fileContent = await this.mcpClient.callTool({
        name: "read_file",
        arguments: { path: targetFile }
      });

      // 2. Kirim instruksi penalaran ke AiStudio.id API Gateway
      const payload = {
        model: "claude-3-7-sonnet-thought-20250219", // atau gpt-6 / deepseek-r2
        messages: [
          {
            role: "system",
            content: "Anda adalah Autonomous Software Engine. Anda menghasilkan patch terstruktur dalam format Unified Diff. Jangan berikan basa-basi pembuka atau penutup."
          },
          {
            role: "user",
            content: `OBJEKTIF: ${taskObjective}\nKONTEN AKTUAL:\n${JSON.stringify(fileContent)}\nPerbaiki bug dan pastikan invarian logika benar.`
          }
        ]
      };

      const patchProposal = await this.queryInferenceGateway(payload);

      // 3. Terapkan modifikasi patch ke berkas lokal
      await this.mcpClient.callTool({
        name: "apply_patch",
        arguments: { path: targetFile, diff: patchProposal }
      });

      // 4. Verifikasi deterministik: Jalankan test suite
      const testResult = (await this.mcpClient.callTool({
        name: "execute_command",
        arguments: { command: "npm test -- --silent" }
      })) as unknown as ExecutionResult;

      if (testResult.exitCode === 0) {
        console.log(`[SUCCESS] Objektif tercapai pada iterasi ke-${attempt}. Semua pengujian lolos.`);
        isResolved = true;
      } else {
        console.warn(`[FAILURE] Pengujian gagal pada iterasi ke-${attempt}. Error Trace:\n${testResult.stderr}`);
        taskObjective = `Perbaikan sebelumnya gagal verifikasi test.\nStack Trace Error:\n${testResult.stderr}\nAnalisis AST dan perbaiki kembali.`;
      }
    }

    return isResolved;
  }

  private async queryInferenceGateway(payload: object): Promise<string> {
    // Memanggil AiStudio.id Enterprise Unified Gateway
    const response = await fetch("https://api.aistudio.id/v1/chat/completions", {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        "Authorization": `Bearer ${process.env.AISTUDIO_API_KEY}`
      },
      body: JSON.stringify(payload)
    });
    
    const data = await response.json();
    return data.choices[0].message.content;
  }
}

# ast_self_healing_worker.py
import ast
import subprocess
import sys
from typing import Optional, Tuple

class ASTCodeVerifier:
    """Memverifikasi sintaks dan integritas struktural kode sebelum eksekusi sandbox."""
    
    @staticmethod
    def validate_ast(code_snippet: str) -> Tuple[bool, Optional[str]]:
        try:
            tree = ast.parse(code_snippet)
            # Analisis invarian statis: Melarang penggunaan fungsi berbahaya secara deterministik
            for node in ast.walk(tree):
                if isinstance(node, ast.Call) and isinstance(node.func, ast.Name):
                    if node.func.id in ["eval", "exec"]:
                        return False, f"Deteksi pelanggaran keamanan: Penggunaan dilarang pada node '{node.func.id}'"
            return True, None
        except SyntaxError as err:
            return False, f"AST Syntax Parsing Error: {err.msg} pada baris {err.lineno}"

class EphemeralSandboxRunner:
    """Menjalankan unit test di dalam isolated process dan menangkap runtime telemetry."""
    
    def __init__(self, test_command: str):
        self.test_command = test_command

    def run_tests(self) -> Tuple[int, str, str]:
        process = subprocess.Popen(
            self.test_command,
            shell=True,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True
        )
        stdout, stderr = process.communicate()
        return process.returncode, stdout, stderr

def autonomous_repair_cycle(file_path: str, target_test_cmd: str) -> None:
    verifier = ASTCodeVerifier()
    sandbox = EphemeralSandboxRunner(target_test_cmd)

    with open(file_path, "r", encoding="utf-8") as file:
        raw_code = file.read()

    # 1. Pra-validasi AST
    is_valid, ast_error = verifier.validate_ast(raw_code)
    if not is_valid:
        print(f"[CRITICAL] Kode awal tidak valid secara AST: {ast_error}")
        return

    # 2. Uji kondisi batas di sandbox
    exit_code, out, err = sandbox.run_tests()
    if exit_code == 0:
        print("[VERIFIED] Basis kode berada dalam status stabil. Tidak ada intervensi diperlukan.")
        return

    print(f"[TRIGGER] Test gagal(Exit Code: {exit_code}). Memulai siklus penalaran otonom...")
    # Di titik ini, agen mengirim payload telemetri eksekusi ke model reasoning melalui AiStudio.id API Gateway
    print(f"[TELEMETRY] Captured Trace: {err.strip()[:200]}...")

if __name__ == "__main__":
    autonomous_repair_cycle("core_payment_service.py", "pytest tests/test_payment.py")

ERA LAMA(2020-2023):
[Klien] -> [PM] -> [Lead Dev] -> [5-10 Junior Devs(Ngetik Sintaks)] -> [QA Manual] -> Deploy(Bulan)

ERA AGENTIC 2026:
[Klien / Domain Expert] -> [1 Systems Architect + Fleet of Autonomous Agents] -> CI/CD Verification -> Deploy(Jam)