LEMON BLOG

For the past year or two, a lot of big companies have been "trying out" AI coding assistants the same way they try out any new dev tool: a small pilot here, an optional experiment there, a few enthusiastic teams using it quietly while everyone else sticks to привычный workflows. That kind of cautious rollout made sense. Code is high-stakes: quality, security, maintainability, and team consistency matter more than novelty.

If you've ever spent half an hour hunting for "the perfect" marble texture, you already know the problem isn't lack of options. It's that none of them are exactly what you need. The color is slightly off your brand palette, the vibe feels too generic, or the pattern looks like something you've seen on ten other sites. AI flips that workflow: instead of searching and settling, you describe what you want and generate it, then keep the best results to grow your own reusable library.