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

Sea Limited is rolling out Codex across its engineering teams to accelerate AI-native software development. According to Sea's CPO, the tool acts as a contextual knowledge engine to help developers manage large-scale systemic complexity. The company is also bringing a Codex Hackathon Series to the broader developer community in Southeast Asia.

Singapore-headquartered global tech company Sea Limited is deploying Codex across its developer organization to accelerate AI-native software development, with internal data indicating that 87% of users are weekly active users. In an interview with David Chen, Co-Founder of Sea and Chief Product Officer at Shopee, the company explains that AI-assisted software development represents a deeper shift in navigating complexity rather than just marginal productivity gains. Codex functions as a localized knowledge engine that reduces the time engineers spend navigating disparate codebases, legacy logic, and dependencies in a massive microservices architecture. By shifting cognitive load away from syntax typing, developers are using Codex to think better, allowing AI agents to operate within CI/CD pipelines to reason through requirements, propose test-driven implementations, surface edge cases, and accelerate debugging. Furthermore, Sea is leveraging the technology to drive engineering discipline by paying down technical debt and generating exhaustive test coverage. According to Sea, Southeast Asia serves as an ideal proving ground for AI-native development due to the complex, multilingual problems developers face across fragmented commerce, payment, and logistics networks. Looking ahead, Sea foresees engineering teams being reconfigured as software teams become more leveraged and developers evolve into system orchestrators. To foster regional talent, Sea is bringing a Codex Hackathon Series to the broader developer community outside the company to democratize access to advanced AI primitives and lower the barrier to entry for local developers.

Why it matters

The deployment highlights how major global tech companies are shifting from passive autocomplete tools to integrated agentic AI workflows for large-scale engineering. It also underscores Southeast Asia's potential as a proving ground for AI-native software development.