Vercel Zero语言实战指南：当编程语言开始为AI智能体而设计

传统设计假设:
  代码 → 人类阅读 → 人类修改 → 人类维护

导致的后果:
  - 错误消息面向人类：自然语言描述，带上下文建议
  - 语法面向人类：追求可读性、表达力、简洁性
  - 工具链面向人类：IDE补全、语法高亮、代码格式化
  - 变更面向人类：语义版本号、迁移指南、变更日志

# Zero 的设计哲学对比
design_philosophy = {
    "传统语言": {
        "代码读者": "人类开发者",
        "错误消息": "自然语言，面向人类理解",
        "语法设计": "追求可读性和表达力",
        "变更管理": "语义版本号 + 迁移指南",
        "工具链": "IDE插件、LSP协议",
        "代码格式": "文本优先，人类编辑",
    },
    "Zero语言": {
        "代码读者": "AI智能体",
        "错误消息": "结构化JSON，机器可读",
        "语法设计": "图优先，便于程序化操作",
        "变更管理": "哈希保护的补丁系统",
        "工具链": "统一--json接口",
        "代码格式": "图存储优先，文本为投影",
    }
}

for lang, philosophy in design_philosophy.items():
    print(f"
{lang}:")
    for aspect, approach in philosophy.items():
        print(f"  {aspect}: {approach}")

# Zero 的错误诊断输出示例
$ zero build app.0

# 传统语言的错误输出（面向人类）:
# Error: cannot find symbol `fetchData` in scope `app`
# Did you mean `fetch_data`?
#   --> app.0:42:15
#    |
# 42 |     let data = fetchData(url)
#    |                ^^^^^^^^^ not found

# Zero 的错误输出（面向AI智能体）:
$ zero build app.0 --json

{
  "diagnostics": [
    {
      "code": "NAM003",
      "severity": "error",
      "message": "cannot find symbol `fetchData` in scope `app`",
      "location": {
        "file": "app.0",
        "line": 42,
        "column": 15,
        "length": 9
      },
      "fix": {
        "type": "declare-missing-symbol",
        "suggested_name": "fetchData",
        "suggested_signature": "fn fetchData(url: String) -> Result<Data>",
        "auto_applicable": false
      },
      "related": [
        {
          "code": "NAM001",
          "message": "similar symbol `fetch_data` exists in scope",
          "location": {"file": "utils.0", "line": 12}
        }
      ]
    }
  ],
  "summary": {
    "errors": 1,
    "warnings": 0,
    "fixable": true
  }
}

# 生成修复计划（不自动应用）
$ zero fix --plan --json

{
  "plan_id": "fix-plan-a3f2c1",
  "patches": [
    {
      "patch_id": "patch-001",
      "description": "Declare missing function `fetchData`",
      "operation": "add_symbol",
      "target": "app.0",
      "location": {"line": 1, "column": 0},
      "content": "fn fetchData(url: String) -> Result<Data> {
    // TODO: implement
}",
      "safe": true
    },
    {
      "patch_id": "patch-002", 
      "description": "Add import for `Data` type",
      "operation": "add_import",
      "target": "app.0",
      "location": {"line": 0, "column": 0},
      "content": "use types::Data",
      "safe": true,
      "depends_on": "patch-001"
    }
  ],
  "can_apply": true,
  "review_required": true
}

# AI智能体审查后选择性应用
$ zero fix --apply patch-001 --json
{"status": "applied", "patch_id": "patch-001"}

# 或一次性应用所有补丁
$ zero fix --apply-all --json
{"status": "applied", "count": 2}

// Zero 的显式副作用示例（.0 文件语法）

// 纯函数：无副作用，不需要World参数
fn add(a: i32, b: i32) -> i32 {
    a + b
}

// 有副作用的函数：必须接受World参数
fn write_file(path: String, content: String, world: World) -> Result<()> {
    world.fs.write(path, content)
}

// 网络请求：需要World中的网络能力
fn fetch_data(url: String, world: World) -> Result<Data> {
    world.net.get(url)?.parse()
}

// AI智能体可以仅通过函数签名判断副作用：
// - 无World参数 → 纯函数，可安全并行执行
// - 有World参数 → 有副作用，需要谨慎处理

# 对比：传统语言中的副作用判断
# 在Python/JavaScript中，判断函数是否有副作用需要阅读整个函数体

# ❌ 传统方式：无法从签名判断副作用
def process_data(data):
    # 必须阅读函数体才能知道是否有副作用
    result = transform(data)
    save_to_db(result)  # 副作用隐藏在函数体内
    return result

# ✅ Zero方式：从签名即可判断
# fn process_data(data: Data, world: World) -> Result<Data>
# 有World参数 → 有副作用

传统编程工作流:
  人类编写文本代码 → 编译器解析为AST → 编译为目标代码
  
Zero的图优先工作流:
  AI智能体操作图(zero.graph) → zero patch应用变更 → 编译为目标代码
       ↑                                    ↓
  .0文件(文本投影) ← zero export ← 图验证 ← zero query查询
  (供人类审阅)        (CI漂移检查)

# Zero 图优先工作流完整示例

# 1. 查询当前图状态
$ zero query --json
{
  "symbols": ["main", "add", "fetchData"],
  "imports": ["types::Data"],
  "graph_hash": "a3f2c1..."
}

# 2. AI智能体生成图补丁
$ zero patch --plan '{"add_symbol": {"name": "multiply", "params": ["a: i32", "b: i32"], "returns": "i32"}}'
{
  "patch_id": "p-001",
  "graph_hash_before": "a3f2c1...",
  "graph_hash_after": "b4e3d2...",
  "valid": true
}

# 3. 应用补丁
$ zero patch --apply p-001
{"status": "applied"}

# 4. 导出文本投影供人类审阅
$ zero export --format text
// app.0 (auto-generated projection)
use types::Data

fn main() {
    let result = add(1, 2)
}

fn add(a: i32, b: i32) -> i32 {
    a + b
}

fn multiply(a: i32, b: i32) -> i32 {
    a * b
}

# 5. 验证投影与图的一致性（CI检查）
$ zero verify-projection
{"status": "consistent", "drift": false}

# Hello World 程序的构建对比

# Zero
$ time zero build hello.0
real    0m0.001s
$ ls -la hello
-rwxr-xr-x  16.2K  hello

# Rust
$ time cargo build --release hello
real    0m2.341s
$ ls -la hello
-rwxr-xr-x  312.4K  hello

# Go
$ time go build hello.go
real    0m0.234s
$ ls -la hello
-rwxr-xr-x  2.1M  hello

# Zig
$ time zig build hello
real    0m0.087s
$ ls -la hello
-rwxr-xr-x  48.7K  hello

# AI Agent使用Zero的自主修复循环（概念实现）
class ZeroAgentLoop:
    def __init__(self, project_path):
        self.project = project_path
        self.max_iterations = 10
    
    def build_and_fix(self):
        '''构建并自动修复错误'''
        for i in range(self.max_iterations):
            # 1. 构建项目
            result = self._run("zero build --json")
            diagnostics = result.get("diagnostics", [])
            
            if not diagnostics:
                print(f"✓ 构建成功 (第{i+1}次迭代)")
                return True
            
            # 2. 生成修复计划
            fix_plan = self._run("zero fix --plan --json")
            patches = fix_plan.get("patches", [])
            
            if not patches:
                print(f"✗ 存在无法自动修复的错误")
                return False
            
            # 3. AI智能体审查补丁
            approved_patches = self._review_patches(patches)
            
            # 4. 应用批准的补丁
            for patch_id in approved_patches:
                self._run(f"zero fix --apply {patch_id}")
            
            print(f"  迭代{i+1}: 修复了{len(approved_patches)}个问题")
        
        return False
    
    def _review_patches(self, patches):
        '''AI智能体审查补丁安全性'''
        approved = []
        for patch in patches:
            if patch.get("safe") and patch.get("auto_applicable", True):
                approved.append(patch["patch_id"])
        return approved
    
    def _run(self, cmd):
        '''执行命令并返回JSON结果'''
        import subprocess
        result = subprocess.run(cmd.split(), capture_output=True, text=True)
        return json.loads(result.stdout) if result.stdout else {}

# .github/workflows/zero-ci.yml
name: Zero CI/CD

on: [push, pull_request]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Install Zero
        run: |
          curl -fsSL https://zerolang.ai/install | sh
          echo "$HOME/.zero/bin" >> $GITHUB_PATH
      
      - name: Build
        run: zero build --json > build-result.json
      
      - name: Verify Projection
        run: zero verify-projection --json
      
      - name: AI Agent Auto-fix (if needed)
        if: failure()
        run: |
          zero fix --apply-all --json
          zero build --json
      
      - name: Run Tests
        run: zero test --json
      
      - name: Upload artifacts
        uses: actions/upload-artifact@v4
        with:
          name: zero-build
          path: |
            build-result.json
            *.bin

# 将Zero作为Claude Code的构建工具
# 在项目的 .claude/settings.json 中配置:
{
  "build_command": "zero build --json",
  "fix_command": "zero fix --plan --json",
  "test_command": "zero test --json",
  "language_server": "zero lsp"
}

# Claude Code会自动使用Zero的结构化输出
# 来进行精确的代码分析和修复

# Zero 的当前局限性总结
limitations = {
    "成熟度": "v0.3.4，实验阶段",
    "生态系统": "几乎没有第三方库",
    "训练数据": "AI模型对Zero语法的熟悉度有限",
    "稳定性": "API可能随时变更",
    "安全审计": "尚未经过充分安全审查",
    "IDE支持": "仅基础LSP，无完整IDE集成",
    "文档": "基础文档完善，但缺乏深度教程",
    "社区": "小而活跃，主要由Vercel团队推动"
}

for area, status in limitations.items():
    print(f"  {area}: {status}")

# 快速上手指南

# 1. 安装Zero
curl -fsSL https://zerolang.ai/install | sh

# 2. 创建第一个项目
mkdir my-zero-project && cd my-zero-project
zero init --name my-project

# 3. 编写第一个程序 (hello.0)
cat > hello.0 << 'EOF'
fn main(world: World) {
    world.io.println("Hello from Zero!")
}
EOF

# 4. 构建
zero build hello.0

# 5. 运行
./hello

# 6. 尝试AI Agent修复循环
# 故意引入错误
cat > hello.0 << 'EOF'
fn main(world: World) {
    world.io.println(undefined_variable)
}
EOF

# 构建并查看结构化错误
zero build --json

# 生成修复计划
zero fix --plan --json

# 应用修复
zero fix --apply-all