别再乱试了！Redis 之父力荐：写代码、查 bug，这 2 个大模型封神！

Core Viewpoint - The article emphasizes that while large language models (LLMs) like Gemini 2.5 PRO can significantly enhance programming capabilities, human programmers still play a crucial role in ensuring code quality and effective collaboration with LLMs [4][11][12]. Group 1: Advantages of LLMs in Programming - LLMs can help eliminate bugs before code reaches users, as demonstrated in the author's experience with Redis [4]. - They enable faster exploration of ideas by generating one-off code for quick testing of solutions [4]. - LLMs can assist in design activities by combining human intuition and experience with the extensive knowledge embedded in LLMs [4]. - They can write specific code segments based on clear human instructions, thus accelerating work progress [5]. - LLMs can fill knowledge gaps, allowing programmers to tackle areas outside their expertise [5]. Group 2: Effective Collaboration with LLMs - Human programmers must avoid "ambient programming" and maintain oversight to ensure code quality, especially for complex tasks [6]. - Providing ample context and information to LLMs is essential for effective collaboration, including relevant documentation and brainstorming records [7][8]. - Choosing the right LLM is critical; Gemini 2.5 PRO is noted for its superior semantic understanding and bug detection capabilities [9]. - Programmers should avoid using integrated programming agents and maintain direct control over the coding process [10][16]. Group 3: Future of Programming with LLMs - The article suggests that while LLMs will eventually take on more programming tasks, human oversight will remain vital for decision-making and quality control [11][12]. - Maintaining control over the coding process allows programmers to learn and ensure that the final output aligns with their vision [12]. - The article warns against ideological resistance to using LLMs, as this could lead to a disadvantage in the evolving tech landscape [13].