从兼职工程师直接跳到CTO，他用两个月让一款Agent干掉60%复杂工作并放话：“代码质量与产品成功没有直接关系”

Core Insights - Block has successfully deployed AI agents to all 12,000 employees within eight weeks, showcasing its commitment to integrating AI into its operations [1] - The company, originally known as Square, Inc., has evolved from a payment service provider to a broader financial and blockchain ecosystem, rebranding as Block, Inc. in December 2021 [1] - Block's CTO, Dhanji R. Prasanna, emphasized the importance of becoming an "AI-native" company, which has led to significant organizational changes and a focus on technology [2][7] AI Integration and Tools - Block launched an open-source AI agent framework called "Goose" in early 2025, designed to connect large language model outputs with actual system behaviors, enabling automation and efficiency [2][18] - Teams using Goose have reported saving an average of 8 to 10 hours of manual work per week, with an estimated overall labor savings of 20% to 25% across the company [12][16] - Goose is fully open-source, allowing external users to download and utilize it, promoting a collaborative ecosystem [19][35] Organizational Changes - The transition from a General Manager structure to a functional structure has been pivotal in focusing on technology and AI integration, allowing engineers and designers to work under unified leadership [8][10] - The cultural shift towards viewing Block as a technology company rather than just a fintech firm has reinvigorated innovation and creativity within the teams [7][9] Future of AI in Engineering - The future of AI in engineering is expected to enhance productivity significantly, with the potential for AI to autonomously handle more complex tasks and improve decision-making processes [22][25] - The integration of AI tools is anticipated to blur the lines between different job roles, enabling non-technical teams to leverage AI for their tasks [29] Recruitment and Company Culture - Block is focusing on hiring individuals who embrace AI tools, fostering a "learning-first" culture that prioritizes experimentation and adaptation [26][27] - The company aims to maintain a balance between automation and human oversight, ensuring that AI complements human judgment rather than replacing it [25][28]