Automating Hardware Design with AI Agents

# Illustrative sketch (not from the paper)
import torch
objective = "Design a verified RISC‑V core"

def adversarial_review(t): return f"Reviewed: {t}"
requirement = adversarial_review(objective)

def generate_artifacts(req):
    prompt = torch.tensor([len(req)])  # placeholder for Claude call
    return {"impl":"src/main.c","spec":"spec.v","proof":"proof.lean","tests":["t1","t2"],"cert":"cert.json"}

artifacts = generate_artifacts(requirement)

def lean_verify(p): return True

def sat_check(s): return True

error_ledger = []
if not lean_verify(artifacts["proof"]): error_ledger.append("Proof failed")
if not sat_check(artifacts["spec"]): error_ledger.append("Spec SAT failed")

if not error_ledger:
    print("All artifacts verified – autonomous development complete")
else:
    print("Errors logged:", error_ledger)

// Illustrative sketch (not from the paper)
const torch = require('torch-js'); // placeholder for AI model interface
const objective = "Design a verified RISC‑V core";
const adversarialReview = t => `Reviewed: ${t}`;
const requirement = adversarialReview(objective);

function generateArtifacts(req) {
  const prompt = torch.tensor([req.length]); // placeholder for Claude call
  return { impl: "src/main.c", spec: "spec.v", proof: "proof.lean", tests: ["t1","t2"], cert: "cert.json" };
}

const artifacts = generateArtifacts(requirement);
const leanVerify = p => true; // placeholder kernel check
const satCheck = s => true; // placeholder SAT equivalence

const errorLedger = [];
if (!leanVerify(artifacts.proof)) errorLedger.push("Proof failed");
if (!satCheck(artifacts.spec)) errorLedger.push("Spec SAT failed");

if (errorLedger.length === 0) {
  console.log("All artifacts verified – autonomous development complete");
} else {
  console.log("Errors logged:", errorLedger);
}