概要
公開日: 2026-05-14
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原文
May 14, 2026 Sea's View on the Future of Agentic Software Development with Codex A conversation with David Chen, Co-Founder of Sea and Chief Product Officer at Shopee. Share Our Executive Function series features perspectives from leaders driving transformation through AI. Sea Limited (Sea) is a leading global tech company founded in Singapore, with businesses spanning digital entertainment, e-commerce, and digital financial services. Its engineering teams build and operate products at significant scale across some of the world’s most dynamic markets. Sea is rolling out Codex across its developer organisation, with our internal data showing 87% of users are weekly active users. For the company, AI-assisted software development is not simply a way to improve productivity at the margins, but a deeper shift in how engineering teams navigate complexity, build resilient systems, and move from ideas to implementation. We spoke with David Chen, Co-Founder of Sea and Chief Product Officer at Sea's e-commerce business, Shopee, about why the company is making this bet, how AI agents are changing how its developers work, and what AI-native software development could mean for Southeast Asia and the broader Asia Pacific region. David, Sea operates across some of the most dynamic markets in Southeast Asia. What was the strategic thinking behind rolling out Codex across your entire development organisation, and what stood out about the product? At Sea’s scale, engineering isn't just about writing code. It’s about managing large-scale systemic complexity across fragmented, hyper-localized markets. We see the ongoing developments in AI leading to a fundamental shift in how software is created and how our engineering teams operate at scale. Agentic AI coding tools like Codex are not just about improving localised productivity. They represent a structural multiplier that can help our engineering organisation ramp up speed, responsiveness, and effectiveness amid an increasingly complex operating environment. What stood out about Codex in particular? What stood out was its ability to go beyond autocomplete and provide deep contextual awareness of our large and disparate codebases. In a massive microservices architecture, the friction is not typing syntax. It is tracing dependencies, understanding legacy logic, and maintaining reliability under peak loads. Codex acts as a localised knowledge engine, drastically reducing the time it takes an engineer to navigate unfamiliar services and allowing our teams to shift their cognitive load to higher-level tasks such as architectural design and product innovation. Internal feedback points to strong usage across code understanding, debugging, and feature development. What does that reveal about how developers are using Codex day to day, and how AI agents are beginning to change software development at Sea? It has been encouraging to see the Codex adoption trends among our developers, particularly among frequent users, with many citing improvements in experimentation speed and development workflows. Based on internal feedback among developers who rated Codex 4 or 5 out of 5, 73% said they would recommend it to colleagues. The most profound shift is realizing our developers are using Codex to 'think better', not just type faster. We are actively transitioning from using AI as a passive autocomplete mechanism to integrated agentic workflows. In practical terms, this means AI agents are increasingly operating within our CI/CD pipelines—reasoning through product requirements, autonomously proposing test-driven implementations, surfacing edge cases in distributed systems, and accelerating debugging loops. Many assume AI simply increases velocity. But at Sea, we are also using it to drive engineering discipline. By allowing AI to rapidly prototype alternative implementations and generate exhaustive test coverage, we are moving faster and are systematically paying down technical debt and sh