Thought leadership

When developers use AI to write code, output volume increases fast. But without a new pipeline, that speed creates a severe delay at the review stage. To clear this bottleneck, engineering teams must stop treating...

Many software projects finish on time and within budget and still fail to deliver any real value to the business. The code works. The vendor delivered what was asked. But six months later, users are...

AI has accelerated code generation across engineering teams, but it has also introduced unexpected delays at the review and production stages of the Software Development Life Cycle. For organizations trying to turn AI speed into...

At JPMorgan Chase , managers now track how often developers use AI coding tools like GitHub Copilot, grouping engineers by usage level and factoring that into performance. The logic is simple: more...

Korean fintech and software development companies are under severe structural pressure at home while facing a Southeast Asian market that is much more accessible than most assume. This analysis examines why Vietnam has become the...

The rapid adoption of agentic AI is creating a growing governance gap between executive ambition and engineering reality. While AI-driven automation promises faster delivery, most deployments still operate without clear accountability. With 98% of AI...

In Vietnam, digital healthcare is no longer optional. It has become a regulatory and competitive necessity. Yet for many mid-sized hospitals, digital investment has created an unexpected financial burden. Instead of replacing manual workflows, new...

Development velocity is changing. By 2026, thanks to AI, prototypes that once required weeks to create can now be completed in just hours. However, for fintech leaders, this acceleration carries an unseen cost. Underneath the...