AI in front-end development is no longer something experimental. Just a couple of years ago, it was used sporadically, mostly for isolated tasks. Today, it is part of the daily workflow.
Where AI actually helps
The most practical value comes from handling routine yet time-consuming tasks such as generating mock data, scaffolding types and interfaces, and working with request/response contracts. It is also useful when integrating with third-party services, including LLM-based solutions, and when working with low-level APIs like Canvas or libraries such as Three.js. Another strong area is debugging, where AI can analyze execution flow, suggest structured approaches, and help identify root causes more efficiently.
Where AI still falls short
Despite the progress, AI still struggles in some areas. Layout implementation and pure CSS tasks remain unreliable, often leading to wasted time rather than real productivity gains. While results improve when using established UI libraries or component systems, the problem is not fully solved. Planning, architecture, and system design are even more challenging. Without clear constraints, AI-generated solutions tend to be too generic and are rarely production-ready. For this reason, AI-generated code always requires careful review, both immediately after generation and during the standard code review process.
What changes in development
AI performance is highly task-dependent, and in some cases, simpler or cheaper models can outperform more advanced ones. This makes it important to choose the right tool for each task and often combine multiple models. At the same time, there are areas where trusting AI is still risky, such as infrastructure changes, database migrations, or handling sensitive data. Developers are not necessarily writing less code. While AI increases delivery speed, the overall workload remains the same as new tasks quickly fill the gap. Despite current limitations and the hype around areas like Figma-to-code, AI is already reshaping front-end development. In the coming years it is expected to become more reliable, produce higher-quality code, and better handle complex engineering challenges.
Dzmitry Bahatyrou, Front-End Engineer at ISsoft Georgia
