Australia & New Zealand: Mature AI Adoption Focused on Productivity

Developers across Australia and New Zealand demonstrated:

• High adoption of AI-assisted coding tools
• Strong emphasis on productivity improvements
• Greater focus on governance and code quality validation

Enterprise development teams were significantly more likely to implement formal AI usage policies compared to other regions.

AI adoption was viewed primarily as a productivity enhancer rather than a replacement for engineering expertise.

South Korea: AI Adoption Driven by Innovation & Speed

Developers in South Korea showed:

• Strong enthusiasm toward AI-assisted development
• High experimentation with emerging coding tools
• Greater adoption among AI engineers and advanced development teams

Speed of development and innovation were the primary drivers of adoption.

South Korea’s highly advanced digital ecosystem continues to position the market among APAC’s most AI-forward software communities.

ASEAN Markets: Rapid Growth Across Startups

Developers across Singapore, Indonesia, Thailand, Malaysia, Vietnam, and the Philippines demonstrated:

• Fast-growing adoption of AI development tools
• Strong usage among startups and growth-stage companies
• High reliance on AI for debugging, code generation, and documentation

Resource efficiency and faster time-to-market emerged as major adoption drivers.

Developers viewed AI as a competitive advantage, particularly in rapidly scaling startup environments.

AI Coding Assistants are Becoming Mainstream

Across all markets, the most common AI-assisted use cases included:

• Code generation
• Debugging assistance
• Documentation creation
• Unit test generation
• Code optimization

Developers increasingly view AI tools as workflow accelerators rather than standalone development solutions.

Security & Code Quality Remain Key Concerns

Despite strong adoption momentum:

• Developers remain cautious about generated code accuracy
• Security vulnerabilities remain a top concern
• Enterprise teams require stronger governance frameworks
• Human review continues to be considered essential

Trust in AI-generated code increases significantly when paired with developer validation.

Startups Lead Adoption While Enterprises Focus on Governance

Organizations displayed clear differences:

• Startups prioritize speed, efficiency, and rapid deployment
• Enterprises emphasize compliance, security, and oversight
• ISVs balance productivity gains with customer-facing reliability requirements

This reflects differing operational priorities across organization types.