Our Executive Function series highlights the insights of industry leaders shaping the future of technology through artificial intelligence.
Sea Limited is one of Southeast Asia’s leading technology companies, operating across digital entertainment, e-commerce, and financial services. Through platforms such as Shopee, the company manages large-scale engineering systems that support millions of users across diverse and rapidly evolving markets.
As part of its AI transformation strategy, Sea has introduced Codex throughout its engineering organization. Internal adoption data reveals that 87% of developers actively use the platform on a weekly basis. For Sea, AI-assisted software development is far more than a productivity tool — it represents a fundamental shift in how software teams build scalable systems, solve technical complexity, and accelerate innovation.
We spoke with David Chen about the company’s long-term vision for AI-native development, the rise of agentic coding workflows, and Southeast Asia’s growing role in the future of global software engineering.
Why Sea Chose to Deploy Codex Across Its Engineering Teams
According to David Chen, engineering at Sea extends beyond writing efficient code. The company operates in highly localized and fragmented markets where software systems must continuously adapt to unique customer behaviors, logistics networks, payment infrastructures, and language requirements.
Sea views AI as a transformational layer that can fundamentally improve how engineering organizations operate at scale. Rather than focusing solely on developer productivity, the company believes AI coding agents can become strategic multipliers that enhance speed, flexibility, and operational resilience.
One of the primary reasons Codex stood out was its ability to understand complex internal codebases beyond simple code completion. In Sea’s massive microservices environment, engineers often spend significant time tracing dependencies, interpreting legacy systems, and ensuring platform reliability under heavy traffic conditions.
Codex helps reduce that friction by functioning as an intelligent contextual knowledge system. Instead of spending hours navigating unfamiliar services, developers can focus more on architecture, innovation, and problem-solving at a higher level.
How AI Agents Are Reshaping Software Development at Sea
Sea’s internal feedback shows strong adoption of Codex for debugging, feature development, and code understanding. Developers frequently report faster experimentation cycles and smoother development workflows.
Among employees who rated Codex highly, 73% said they would recommend the platform to their colleagues. However, the most important shift is not simply increased speed — it is the changing relationship between developers and AI systems.
At Sea, AI is increasingly being used as an active engineering collaborator rather than a passive autocomplete tool. The company is integrating AI agents directly into development pipelines where they can assist with:
- Understanding product requirements
- Suggesting test-driven implementations
- Identifying edge cases in distributed systems
- Accelerating debugging processes
- Improving automated testing coverage
This approach enables teams to improve engineering discipline while simultaneously increasing development velocity. AI-assisted prototyping also allows engineers to compare multiple implementation approaches quickly, helping reduce technical debt and improve software reliability over time.
Southeast Asia’s Role in AI-Native Engineering
David Chen believes Southeast Asia is uniquely positioned to lead the next phase of AI-native software development. Historically, the region has rapidly adopted emerging technologies, moving directly into mobile-first ecosystems and super-app platforms without following traditional technology adoption cycles.
Developers across Southeast Asia regularly solve highly complex problems involving multilingual users, fragmented commerce networks, payments, logistics, and communications. These challenges create the ideal environment for AI-native engineering systems to evolve and mature.
Sea expects software teams to undergo major structural changes in the coming years. As AI agents handle more implementation and operational tasks, developers will increasingly focus on higher-level responsibilities such as:
- Product strategy
- System architecture
- Workflow orchestration
- AI-human collaboration management
- Technical decision-making
The traditional role of developers may evolve into that of system orchestrators who guide intelligent AI workflows rather than manually handling every implementation detail.
At the same time, lower experimentation costs will likely make software development more iterative, continuous, and adaptive than ever before.
Building an AI-Native Developer Ecosystem Across Asia
Beyond internal adoption, Sea has partnered with OpenAI to launch the first regional Codex Hackathon Series across Asia. The initiative begins in Singapore before expanding into markets such as Indonesia, Taiwan, and Vietnam.
Sea believes the region has an exceptionally strong builder community, but limited access to advanced AI tooling has historically slowed execution speed. By opening access to AI-assisted development workflows, the company hopes to empower local developers to experiment, learn, and launch scalable applications more efficiently.
The broader goal is to cultivate a long-term AI-native talent ecosystem throughout Southeast Asia. By helping developers gain hands-on experience with advanced AI systems today, Sea aims to strengthen the region’s position as a future global hub for AI-driven innovation.
FAQS
What is Sea Limited?
Sea Limited is a global technology company headquartered in Singapore, with businesses in digital entertainment, e-commerce, and financial services.
What is Codex used for at Sea?
Codex is used to assist developers with code understanding, debugging, feature development, testing, and navigating large-scale internal systems.
How many Sea developers actively use Codex?
Sea reported that 87% of its developers are weekly active users of Codex within the organization.
How are AI agents changing software development?
AI agents are helping automate implementation tasks, improve testing, identify system issues, and support developers in making faster and more informed technical decisions.
Why is Southeast Asia important for AI-native development?
Southeast Asia’s diverse digital ecosystems, multilingual markets, and complex infrastructure challenges make it an ideal environment for advancing AI-native engineering solutions.
What is the Codex Hackathon Series?
The Codex Hackathon Series is a regional initiative launched by Sea and OpenAI to help developers across Asia gain hands-on experience building AI-native applications.
How will AI affect the role of developers in the future?
Developers are expected to shift toward higher-level responsibilities such as system design, workflow orchestration, product strategy, and managing AI-driven engineering processes.
Conclusion
Sea’s adoption of Codex reflects a larger transformation taking place across the technology industry. AI is no longer viewed as a simple coding assistant but as an active collaborator capable of reshaping how engineering organizations operate. From improving code understanding and testing to accelerating experimentation and system design, AI-native development is changing the structure of software teams and the pace of innovation.
For Southeast Asia, this shift presents a major opportunity. The region’s fast-moving digital economy, diverse technical challenges, and rapidly growing developer ecosystem make it an ideal environment for AI-native software engineering to thrive. Through investments in AI tools, developer education, and regional collaboration, Sea is positioning itself at the forefront of this transformation while helping shape the future of intelligent software development across Asia.
