OpenAI 一线开发现实观察：能同时盯住 10～20 个 Agent、跑小时级任务的人，正在把其他工程师远远甩开

Core Insights - The article discusses how AI, particularly tools like Codex from OpenAI, is reshaping the role of engineers, leading to a new hierarchy where engineers are becoming more like "Tech Leads + Coordinators" rather than traditional coders [2][3][12] - It highlights that 95% of engineers at OpenAI use Codex daily, with 100% of pull requests (PRs) being reviewed by AI, significantly speeding up the code review process from 10-15 minutes to just 2-3 minutes [8][22] - The article emphasizes the potential for a new wave of entrepreneurship driven by AI, where individuals can leverage high leverage tools to create "one-person billion-dollar companies," leading to a surge in small, specialized startups [35][37][39] AI's Impact on Engineering Roles - Engineers are increasingly managing multiple Codex threads, focusing on guiding and validating AI-generated code rather than writing it themselves [12][30] - The use of AI tools is creating a divide where high-performing engineers are becoming disproportionately more productive, potentially leading to a restructured organizational model with smaller teams and faster iterations [3][28] - The article notes that the current phase of rapid change in AI is a unique window that may not last long, urging companies to adapt quickly [3][4] Business Process Automation - There is a significant opportunity in automating business processes, as many tasks are repetitive and standardized, which AI can transform [3] - The article suggests that as AI integrates deeper into workflows, it will fundamentally change how businesses operate, not just improve efficiency [3] Challenges in AI Deployment - Many companies face negative ROI from AI deployments due to a lack of understanding and proper integration of AI tools into their workflows [54][56] - Successful AI adoption requires both top-down support from management and grassroots enthusiasm from frontline employees, emphasizing the need for a "tiger team" to facilitate this process [57][59] Future of Management - The role of managers is evolving, with a focus on supporting top performers and leveraging AI tools to enhance productivity [29][30] - Managers may need to invest more time in high-performing individuals, ensuring they have the resources and support to maximize their output [30][47] - The article suggests that AI tools could enable managers to oversee larger teams effectively, similar to how engineers manage multiple AI threads [30][32] Entrepreneurial Landscape - The concept of "one-person billion-dollar companies" is gaining traction, indicating a shift towards easier entrepreneurship facilitated by AI [35][37] - The article predicts a rise in small, specialized companies that provide tailored software solutions, leading to a potential golden age for B2B SaaS and software entrepreneurship [38][39]