AI辅助的导师制：基于代码审查历史的个性化AI导师

class DeveloperProfileAnalyzer:
    def analyze(self, developer_id):
        """
        分析开发者的历史数据，构建能力画像
        """
        profile = {
            'code_quality': self.analyze_code_quality(developer_id),
            'review_patterns': self.analyze_review_history(developer_id),
            'learning_speed': self.analyze_learning_curve(developer_id),
            'common_mistakes': self.identify_mistake_patterns(developer_id),
            'strengths': self.identify_strengths(developer_id),
            'weaknesses': self.identify_weaknesses(developer_id)
        }
        return profile

class PersonalizedRecommendation:
    def recommend(self, developer_profile, goal):
        """
        基于开发者画像推荐个性化学习方案
        """
        recommendations = {
            'learning_resources': self.recommend_resources(developer_profile),
            'practice_tasks': self.recommend_tasks(developer_profile, goal),
            'mentor_match': self.recommend_human_mentor(developer_profile),
            'peer_learning': self.recommend_peers(developer_profile)
        }
        return recommendations

# 开发者写的代码
def process(data):
    result = []
    for item in data:
        if item.active:
            result.append(item)
    return result

# AI导师实时提示
💡 建议改进：
这段代码可以用列表推导式简化：

def process(data):
    return [item for item in data if item.active]

原因：
- 更简洁，减少3行代码
- Pythonic，符合PEP8
- 性能略有提升

根据你的历史数据，你在Python惯用法方面有提升空间。
推荐学习：Python列表推导式最佳实践

class GrowthTracker:
    def track(self, developer_id):
        """
        追踪开发者的成长轨迹
        """
        metrics = {
            'code_quality_trend': self.calculate_quality_trend(developer_id),
            'skill_progress': self.track_skill_improvement(developer_id),
            'learning_velocity': self.calculate_learning_speed(developer_id),
            'goal_achievement': self.track_goal_completion(developer_id)
        }
        return metrics

class LearningPathGenerator:
    def generate_path(self, developer_profile, career_goal):
        """
        生成个性化学习路径
        """
        # 1. 差距分析
        gap_analysis = self.analyze_skill_gap(developer_profile, career_goal)
        
        # 2. 优先级排序
        prioritized_skills = self.prioritize_skills(gap_analysis)
        
        # 3. 学习模块设计
        learning_modules = self.design_modules(prioritized_skills)
        
        # 4. 时间规划
        timeline = self.create_timeline(learning_modules, developer_profile.learning_speed)
        
        return {
            'modules': learning_modules,
            'timeline': timeline,
            'milestones': self.define_milestones(learning_modules),
            'success_criteria': self.define_success_criteria(learning_modules)
        }

# 开发者提交的代码
class OrderService:
    def create_order(self, user_id, items):
        # 检查库存
        for item in items:
            if not self.check_stock(item):
                raise Exception("Out of stock")
        
        # 计算价格
        total = 0
        for item in items:
            total += item.price * item.quantity
        
        # 创建订单
        order = Order(user_id=user_id, total=total)
        self.db.save(order)
        return order

# 开发者正在写...
def calculate_discount(price, user):
    if user.vip:
        return price * 0.9
    return price

# AI导师实时提示
💡 提示：发现你经常写类似的折扣逻辑

建议：
1. 使用策略模式封装折扣规则
2. 考虑使用装饰器实现

示例代码：
@discount_strategy(VIPDiscount())
def calculate_price(price, user):
    return price

原因：
- 便于新增折扣类型（生日折扣、首单折扣等）
- 符合开闭原则
- 与团队其他服务保持一致风格

你在这方面的学习进度：60%
推荐完成设计模式学习模块。