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This article details Roblox's "Prompt to Prod" initiative, which focuses on engineering an autonomous software development lifecycle (SDLC) where AI generates code directly from prompts into production environments. The core challenge addressed is the critical gap between generating code and establishing sufficient trust in its security and reliability without human intervention. By implementing robust security sandboxes and redefining productivity metrics around feature velocity, Roblox aims to solve the "trust paradox" that currently creates backpressure on engineering teams.
Surse care acoperăInfoQ, Quantum Zeitgeist, SiliconANGLE, The Verge
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Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale

InfoQ41 min de cititArticolul și perspectiva sunt în engleză.

Andrew Swerdlow shares how Roblox scales autonomous software development from prompt to production. He discusses building robust security sandboxes, extracting institutional knowledge via code review exemplars, updating engineering infrastructure, and redefining productivity metrics around feature velocity and long-running AI turns to achieve trusted, automated deployment at scale. By Andrew Swerdlow

Andrew Swerdlow: I'm Andrew Swerdlow. I currently work at Roblox. I support the engineering acceleration team as well as the core services and platforms group. I'm a manager. Before this I was at Instagram for a couple of years and I was supporting safety, AI fairness, team mental well-being and a few other contentious people areas. Then before that I was at Google for my entire adult life, for almost 16 years. I worked on a lot of different products like Google Assistant, YouTube, Android ecosystem, mostly around developer tooling as well as privacy and security. I've worked at some of these larger companies and I've seen how software is developed at scale. I've tried to make this presentation fit some of my experiences around transitioning to AI for Roblox. Roblox itself is actually a 20-year-old company, and so we've been around for a long time, and we're doing things in a very classic way. More recently, we decided we needed to accelerate with the rest of the industry, and this presentation is about that. To start off with, who in the last week or two has shipped AI-generated code? How many of you people trust that code? Do you…

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