Sea对Codex赋能代理软件开发的未来看法

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OpenAI Blog2026年5月14日

Sea's View on the Future of Agentic Software Development with Codex

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TL;DR · AI Summary

Sea is driving AI agent software development transformation by fully deploying Codex, improving engineering team efficiency and system complexity management.

Key Takeaways

87% of Codex users at Sea are weekly active users
Codex helps engineers reduce code navigation time
AI agents have been integrated into CI/CD pipelines

Outline

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§Introduction
Introduces Sea and its strategic deployment in AI agent software development.
·Strategic Significance of Codex
Explains why Sea chose to fully deploy Codex and its impact on engineering teams.
›Core Advantages of Codex
Highlights Codex's ability to go beyond autocomplete and provide deep contextual understanding.

Mindmap

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查看大纲文本（无障碍 / 无 JS 友好）

AI代理软件开发
- Sea战略
  - Codex部署
- Codex优势
  - 上下文理解
    - 代码导航优化
- 工程实践
  - CI/CD集成
    - 测试驱动实现

Highlights

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Internal data shows 87% of Codex users at Sea are weekly active users, indicating high adoption rates.
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Codex acts as a localized knowledge engine, significantly reducing engineers' time navigating unfamiliar services.
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AI agents have been integrated into CI/CD pipelines, autonomously proposing test-driven implementations and accelerating debugging loops.
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#Codex#Agentic Software#AI Development

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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.

Image 1: Deep blue and orange abstract gradient background with soft, blurry vertical shapes. White text reads ‘Executive Function’ on the left and ‘Ep 20’ on the right.

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#### Our Executive Function series features perspectives from leaders driving transformation through AI.

Sea Limited (Sea) is a leading global technology 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 organization, with internal data showing that 87% of users are active weekly. For the company, AI-assisted software development is not merely a way to marginally improve productivity—it represents 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 strategic investment, how AI agents are transforming the way 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 organization, and what stood out about the product?

At Sea’s scale, engineering is not just about writing code—it’s about managing large-scale systemic complexity across fragmented, hyper-localized markets. We see ongoing AI advancements driving a fundamental shift in how software is created and how our engineering teams operate at scale.

Agentic AI coding tools like Codex are not merely about improving localized productivity. They represent a structural multiplier—enabling our engineering organization to accelerate 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 deliver deep contextual awareness of our large and disparate codebases. In a massive microservices architecture, the friction isn’t syntax typing—it’s tracing dependencies, understanding legacy logic, and maintaining reliability under peak loads.

Codex acts as a localized knowledge engine, drastically reducing the time engineers need to navigate unfamiliar services—and allowing our teams to shift their cognitive load toward 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 observe Codex adoption trends among our developers—particularly among frequent users—many of whom cite improvements in experimentation speed and development workflows. Based on internal feedback from developers who rated Codex 4 or 5 out of 5, 73% said they would recommend it to colleagues.

The most profound shift lies in realizing that our developers are using Codex to “think better,” not just type faster. We are actively transitioning from treating AI as a passive autocomplete tool to embedding it into 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’re also leveraging it to strengthen engineering discipline. By enabling AI to rapidly prototype alternative implementations and generate exhaustive test coverage, we’re moving faster while systematically reducing technical debt and shipping more resilient systems.

#### Looking ahead, what role do you think Southeast Asia and the broader Asia region will play in shaping the next generation of AI-native software development? How do you see AI agents changing the structure of software teams, and what would you say to other technology leaders in Asia considering this shift?

If you examine past technology revolutions, Southeast Asia has consistently leapfrogged traditional technology adoption cycles—such as moving directly to mobile-first and super-app ecosystems. Because developers here must solve highly complex, multilingual problems across fragmented commerce, payment, logistics, and communication networks, Southeast Asia is the ideal proving ground for AI-native software development.

Looking ahead, I foresee a fundamental reconfiguration of engineering teams. Software teams will become increasingly leveraged as AI agents take on more operational execution work. As agents abstract away the implementation layer, the “developer” evolves into a “system orchestrator” who spends the bulk of their time on tasks such as product judgment, system design, and orchestrating AI-driven workflows.

At the same time, development cycles will likely become more iterative and continuous as the cost of experimentation and execution continues to fall.

For technology leaders, I would say this is not merely a tooling upgrade—it is an organizational paradigm shift. The winners will be those who relentlessly redesign their engineering culture and workflows around human-AI collaboration today, rather than bolting it onto legacy processes tomorrow.

#### Beyond Sea’s own internal adoption, the company has partnered with OpenAI to host the first regional Codex Hackathon Series across Asia, beginning in Singapore before expanding to markets including Indonesia, Taiwan, and Vietnam. Why was it important to bring this to the broader developer community?

Southeast Asia boasts an incredibly vibrant builder ecosystem—but historically, a tooling gap has constrained execution speed. Internally, we’ve seen how AI-assisted workflows help engineers learn faster, experiment more freely, and move from ideas to implementation more efficiently.

By bringing this Codex Hackathon Series to the broader developer community beyond our company, we’re democratizing access to the world’s most advanced AI primitives. This can drastically lower the barrier to entry for local developers—enabling them to go from raw curiosity to deploying scalable, AI-native applications in just hours.

This is about building a compounding, AI-native talent ecosystem. By upskilling developers across the region today, we’re collectively accelerating Southeast Asia’s trajectory as a global hub for AI-driven innovation.