Dhanji Prasanna, an honoree on the Forbes 2025 CIO Next list, oversaw the creation of Goose, an open source AI agent used by Anthropic, Databricks and Stripe. https://t.co/cwRzfW1kt4 #ForbesCIO (Illustration By Oriana Fenwick For Forbes) https://t.co/Ony09Tg2fV ...

Dhanji Prasanna, an honoree on the Forbes 2025 CIO Next list, oversaw the creation of Goose, an open source AI agent used by Anthropic, Databricks and Stripe. https://t.co/cwRzfW1kt4 #ForbesCIO (Illustration By Oriana Fenwick For Forbes) https://t.co/Lr4CzwWoZ8 ...

Dhanji Prasanna, an honoree on the Forbes 2025 CIO Next list, oversaw the creation of Goose, an open source AI agent used by Anthropic, Databricks and Stripe. https://t.co/cwRzfW1kt4 #ForbesCIO (Illustration By Oriana Fenwick For Forbes) https://t.co/j6wZw7Mg5n ...

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]

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]

Core Insights - The article discusses the potential of Model Context Protocol (MCP) to revolutionize the interaction between AI agents and external tools, enabling seamless integration and automation of complex tasks [3][30] - MCP is positioned as an open standard that connects AI agents with necessary tools and data, addressing the fragmentation and integration challenges in the AI ecosystem [6][30] Understanding Model Context Protocol - MCP is an open standard based on JSON-RPC 2.0, facilitating communication between AI agents (hosts/clients) and external capabilities (servers) [4][6] - Key components of MCP include hosts (user-facing AI applications), clients (components managing communication), and servers (lightweight components exposing external functionalities) [6][7] Key Components of MCP - Agents can connect to MCP-compatible servers without writing custom code for each new API or service, enhancing interoperability and reducing integration complexity [5][6] - Standardized interfaces expose functionalities such as tools, resources, prompts, and sampling, allowing for modular development [6][10] Benefits of Standardization - MCP transforms the integration landscape from M×N complexity to M+N modularity, improving interoperability and future-proofing AI systems [11][18] - It democratizes tool development, enabling developers to create and share specialized tool servers [18][34] MCP Implementation: Case Studies - Block's "Goose" AI agent exemplifies MCP's application, integrating with various backend systems to enhance operational efficiency [14][33] - Development tools like Windsurf and Replit are adopting MCP to provide richer, context-aware coding assistance [17][33] Impact on Agent Capabilities - MCP enhances agent memory and state persistence, allowing for long-term memory and dynamic knowledge organization [26][28] - Agents can maintain context across multiple tool calls and manage persistent task states, facilitating complex workflows [28][29] Observed Applications and Adoption of MCP - MCP is gaining traction in real-world applications, standardizing interactions between AI agents and external data, tools, and services [29][30] - The open-source nature of MCP encourages community contributions and the development of a growing ecosystem of MCP servers [33][34]

Jack Dorsey has recently released two apps in less than a week.How? He's riding the vibe coding wave and using an AI tool called Goose to crank out new apps for messaging and tracking sun exposure. https://t.co/yOdYsmjBXX ...

Jack Dorsey has recently released two apps in less than a week.How? He's riding the vibe coding wave and using an AI tool called Goose to crank out new apps for messaging and tracking sun exposure. https://t.co/tWkHj3NGMa ...