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 [2] - 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 [2] - The introduction of the open-source AI agent framework "Goose" aims to connect large language model outputs with actual system behaviors, enhancing productivity and automation [3][14] Company Background - Block was founded in 2009 by Jack Dorsey and Jim McKelvey, initially focusing on a mobile card reader to help small merchants accept credit cards [2] - The company went public in 2015 and has since expanded its services to approximately 57 million users and 4 million merchants in the U.S. by 2024 [2] AI Integration and Transformation - The CTO, Dhanji R. Prasanna, led a team of over 4,000 engineers to transform Block into one of the most AI-native large enterprises globally, driven by an "AI declaration" he wrote to the CEO [4][7] - The organizational shift from a General Manager structure to a functional structure was crucial for focusing on technology and AI development [10][11] - The changes have resulted in a unified technical focus, allowing engineers to collaborate more effectively and enhancing the overall technological depth of the company [12][13] Productivity Gains from AI - Teams utilizing 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 [14][17] - Goose serves as a cultural signal, enabling all employees to leverage AI for building and creating, thus integrating AI into the company's operational fabric [16] Goose AI Agent - Goose is a general-purpose AI agent that can perform various tasks, including organizing files, writing code, and generating reports, by connecting with existing enterprise tools [22][23] - The framework is built on the Model Context Protocol (MCP), allowing it to execute tasks in the digital realm, thus enhancing productivity [24][25] - Goose is open-source, enabling other companies to adopt and adapt the technology, promoting a collaborative ecosystem [27] Future of AI in Engineering - The future of AI in engineering is expected to enhance autonomy, allowing AI to work independently on tasks, potentially transforming how engineers approach coding and project management [31][32] - AI's role in automating processes is anticipated to evolve, with the possibility of AI optimizing growth and revenue generation, although human oversight will remain essential [34][35] Hiring and Organizational Strategy - The company is focusing on hiring individuals who embrace AI tools, fostering a culture of continuous learning and adaptation [36][37] - The integration of AI has led to a strategic shift in hiring practices, emphasizing structural optimization over mere expansion of the engineering team [39][40]