Software developers face mounting pressure to master artificial-intelligence tools as automation accelerates across the industry. GitHub chief executive Thomas Dohmke this week told programmers to “embrace AI or get out of this career,” arguing in a widely discussed blog post that assistants such as GitHub Copilot will soon handle up to 90 percent of routine code writing. His warning echoes moves by McKinsey, which is deploying 12,000 internal AI agents, and by multiple employers that are trimming entry-level vacancies in favour of automated solutions. Surveys suggest adoption is racing ahead of confidence. Stack Overflow’s 2025 poll of 49,000 developers found 80 percent now rely on AI tools in their workflows, yet only 29 percent trust the accuracy of machine-generated code—down from 40 percent a year earlier. Nearly half of respondents cited “mostly correct but subtly flawed” outputs as their biggest frustration, reporting additional time spent hunting hidden bugs. Industry leaders argue that scepticism should not translate into avoidance. Bill Gates told recent graduates they should learn to work alongside AI even if job stability remains uncertain, while venture investors compare the technology’s advance to the industrial revolution. For many junior programmers, the message is clear: proficiency in supervising and verifying AI-written code is fast becoming a prerequisite for career entry.