In Southeast Asia, where digital economies are accelerating at pace, the strain is even stronger. Engineering teams are under mounting pressure to modernise legacy systems, launch AI-enabled services, and meet rising regulatory expectations, often with constrained talent pools.
For years, software development has been associated with long nights, complex integrations, and the relentless pressure to ship faster. When artificial intelligence (AI) entered the mainstream, many assumed it would finally ease the burden by automating repetitive tasks, accelerating coding, and reducing debugging cycles.
Yet reality tells a different story. Even as global AI adoption accelerates, developer burnout remains stubbornly high. Recent research shows that one in four engineers is experiencing critical levels of burnout, with many expecting conditions to worsen in the year ahead.
