A remarkable 87 percent of developers at Sea Limited are now weekly active users of the AI coding tool Codex, a rate of internal adoption far exceeding typical new developer technology rollouts. The Singapore-based tech company, which operates across digital entertainment, e-commerce, and financial services, isn’t viewing this as a simple productivity boost; instead, Sea sees developments in AI leading to a fundamental shift in how its engineering teams function. According to David Chen, Co-Founder of Sea and Chief Product Officer at Shopee, “At Sea’s scale, engineering isn’t just about writing code. It’s about managing large-scale systemic complexity across fragmented, hyper-localized markets.” Sea is specifically leveraging Codex to address these complexities, moving beyond basic code generation toward AI agents integrated into its entire development pipeline.
Sea’s Strategic Rollout of Codex for Scalable Engineering
Sea Limited is experiencing unusually rapid internal adoption of AI-assisted coding tools, with 87 percent of its developers now weekly active users of Codex. This figure suggests a strategic commitment exceeding typical developer tool rollouts. Chen explains that at Sea’s scale, engineering demands managing complexity, not just writing code, and that Codex’s ability to provide “deep contextual awareness of our large and disparate codebases” was a key differentiator. The tool functions as a localized knowledge engine, reducing the time engineers spend navigating complex systems and allowing them to focus on higher-level design and innovation. Internal feedback reveals that 73 percent of developers rating Codex 4 or 5 out of 5 would recommend it to colleagues, and that the tool is fostering a fundamental shift in how developers approach problem-solving. Chen stated that Sea is actively integrating AI agents into its CI/CD pipelines to automate tasks like test-driven implementation and debugging, ultimately aiming to drive engineering discipline while systematically paying down technical debt. This impact extends beyond mere velocity; Sea is observing a shift in cognitive processes.
Developer Adoption & Shift to AI-Driven CI/CD Pipelines
This adoption rate signals a departure from typical developer tool rollouts, suggesting a strategic investment beyond simple productivity gains. The company, operating across diverse Southeast Asian markets, views AI not as a marginal improvement, but as a fundamental shift in how its engineering teams function. Sea is now actively transitioning from using AI as a passive tool to integrated agentic workflows within its CI/CD pipelines, with agents proposing test-driven implementations and accelerating debugging. Chen notes the most profound shift is realizing developers are using Codex to ‘think better’, and that this is observed through internal feedback indicating the company is using AI to drive engineering discipline while systematically paying down technical debt.
The most profound shift is realizing our developers are using Codex to ‘think better’, not just type faster.
Southeast Asia as a Proving Ground for AI-Native Development
Southeast Asia is rapidly emerging as a critical testing ground for a new era of AI-driven software development, uniquely positioned to accelerate adoption beyond incremental productivity gains. Sea Limited, a Singapore-based tech conglomerate, is spearheading this shift with a company-wide rollout of OpenAI’s Codex, reporting that 87 percent of users are weekly active users, a figure suggesting unusually swift integration compared to typical developer tools. This isn’t merely about faster coding; Sea views the move as a fundamental shift in how its engineering teams function. The region’s fragmented, hyper-localized markets present challenges that demand innovative solutions, making it ideal for testing AI’s capabilities in complex real-world scenarios. Chen believes Southeast Asia will become a global hub for AI-driven innovation by fostering a “compounding AI-native talent ecosystem” through initiatives like the regional Codex Hackathon Series.
