"This rapid change is largely due to the efficacy of AI tools and how they've tripled productivity. Just a few years ago, we were debating whether tools like GitHub Copilot were even reliable enough for basic autocomplete. Fast forward to today, and AI isn't just generating components; it's scaffolding entire full-stack applications, leading many to wonder if it might truly "take our jobs" in the future."
"AI tools have evolved from simple code-completion utilities into a core component of the development lifecycle. We have moved toward agentic workflows, where developers act as architects, overseeing AI agents that can scaffold entire features from a Figma URL or a natural language prompt. AI is also reshaping how developers explore and understand code, using AI to explain unfamiliar logic, trace data flow, and surface edge cases."
2025 proved to be a watershed year for web development as AI tools tripled developer productivity and accelerated change across the ecosystem. AI progressed from basic autocomplete to scaffolding full-stack applications, prompting concerns about job displacement while enabling faster delivery. Workflows shifted to agentic models where developers oversee AI agents that can generate features from Figma URLs or natural language prompts. AI now assists code exploration by explaining unfamiliar logic, tracing data flow, and surfacing edge cases, significantly shortening onboarding time. Applications are increasingly designed with AI in mind, generating UI variations, adapting content dynamically, and embedding AI-driven features in products.
Read at LogRocket Blog
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