"Although I'm not a developer myself (just a humble UX writer), working alongside developers means staying in tune with most AI-driven coding tools - and, of course, that includes GitHub Copilot. GitHub Copilot - the "amazing" AI tool that improves developers' work by really-really- significant-you-won't-believe-the-numbers-percentage and other lies - more on that later."
"AI has significantly impacted my industry and, even more so, the opinions of product owners who manage people like me. For those who always thought my work was just "writing some lines," Large Language Models (LLMs) introduced a new question: "Aren't you scared of losing your job?" But for those who understand my role, that question doesn't come up - and they don't think it should."
AI-driven coding tools such as GitHub Copilot often advertise large productivity improvements but can overpromise and mislead. Large Language Models have changed perceptions of roles like UX writers and developers, prompting concerns about job displacement among some stakeholders. Practitioners who understand role complexity tend not to fear replacement. Approaches like "vibe coding," which aim to code without deliberate problem solving, risk producing superficial or incorrect outputs and can create more problems than they solve. Effective adoption requires critical human oversight, role-specific expertise, and careful integration into existing workflows to mitigate risks.
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