Jun 28, 2026

Building an Autonomous Engineering Org - Angie Jones, Agentic AI Foundation

Angie Jones details Block's journey in transforming its engineering organization into an autonomous one using AI agents. She outlines a five-stage AI maturity model, the strategic implementation of an 'AI Champions' program, and the technical steps taken to make repositories AI-ready and enable seamless agent delegation directly within developer workflows. The talk covers challenges in scaling multi-agent parallelism, including code review bottlenecks and resource management, and the development of an orchestrator ('Builder Bot') and 'Company World Model' to achieve full autonomy. It concludes with a critical reflection on the ethical implications of achieving such high levels of AI-driven automation.

Apr 01, 2026

"We're Not Writing Code by Hand Anymore. That's Over." | Owen Jennings & David Haber - The a16z Show

Owen Jennings, Executive Officer at Block, details the company's radical restructuring (40% workforce reduction) driven by AI's impact on productivity. He explains how Block is now operating with smaller squads, leveraging internal AI tools like Goose and Builder Bot, and shipping AI-native products like Money Bot and Manager Bot to deliver personalized, generative UIs for millions of users, emphasizing a future where unique understanding forms the ultimate business moat.

Oct 26, 2025

How Block is becoming the most AI-native enterprise in the world | Dhanji R. Prasanna

Block CTO Dhanji R. Prasanna shares how the company is becoming AI-native. He discusses their internal open-source AI agent, Goose, which saves employees 8-10 hours weekly, how they measure productivity gains, and the organizational changes that have had an even greater impact than AI tooling.

Sep 30, 2025

Block CTO Dhanji Prasanna: Building the AI-First Enterprise with Goose, their Open Source Agent

Dhanji Prasanna, CTO of Block, discusses the company's AI transformation, centered on their open-source agent, Goose. He details how Goose leverages the Model Context Protocol (MCP) to automate complex workflows, saving engineers 8-10 hours weekly. Prasanna also explains Block's strategic shift to a functional organizational structure to accelerate AI adoption and shares his vision for the future, where swarms of smaller AI models will outperform today's monolithic LLMs.