Google’s Stitch Joins the Vibe Coding Trend After Jules
▼ Summary
– Vibe coding is a trending tech concept using AI and natural language prompts to automate coding tasks, shifting focus from manual coding to end results.
– Google launched Stitch, a beta tool from Google Labs, which generates UIs from prompts, allowing customization and export to Figma, competing with Microsoft and AWS.
– Early feedback on Stitch is mixed, with some praising its speed and capabilities, while others criticize its design output and limited editing options compared to existing tools like Bolt.
– Google plans to enhance Stitch with features like annotating screenshots and offers two modes: standard (Gemini 2.5 Flash) and experimental (Gemini Pro for visual uploads).
– Major tech players like AWS, Microsoft, and OpenAI are also advancing in vibe coding, with tools like GitHub Copilot and Claude Code, intensifying competition in the AI-driven coding space.
The rise of vibe coding represents a seismic shift in software development, blending AI-powered automation with creative design workflows. Google’s latest entry into this space, Stitch, aims to simplify UI creation through natural language prompts, joining competitors like Microsoft and AWS in redefining how interfaces get built. Currently in beta, the tool generates editable HTML, CSS, and templates from simple descriptions—sparking both excitement and skepticism among early adopters.
Unlike traditional coding environments, Stitch focuses on rapid prototyping, letting users describe dashboards or apps while specifying visual preferences like color schemes. The platform offers two modes: one powered by Gemini 2.5 Flash for standard generation, and an experimental option using Gemini Pro that incorporates uploaded wireframes or sketches. Brendan Jowett of Inflate AI called it “the most powerful UI designer in the world” after testing its ability to produce export-ready Figma files in seconds.
Yet the tool faces criticism for inconsistent output quality. Designer Elizabeth Alli reported struggles with design accuracy, noting generated screens often missed requested elements like specific color palettes. Others compared Stitch unfavorably to alternatives like Bolt or Uizard, citing clunky interfaces and limited editing capabilities. “The designs feel half-baked compared to existing AI design tools,” one tester remarked after encountering outdated visual elements.
Google isn’t alone in racing to dominate this emerging niche. Microsoft enhanced GitHub Copilot with agent-mode functionality, while OpenAI’s rumored acquisition of Windsurf signals deeper investment in automated coding. Even Salesforce leverages AI to handle 20% of its codebase through Agentforce. Stitch joins Google’s earlier autonomous coding project Jules, reflecting the company’s broader push into AI-assisted development.
Early adopters acknowledge Stitch’s potential despite its flaws. Some praised its speed in creating crypto wallet dashboards, while others highlighted the convenience of annotating screenshots for revisions—a promised future feature. As the platform evolves, its success may hinge on addressing key pain points: improving design consistency, expanding editing options, and closing the gap with more polished competitors.
For now, Stitch serves best as a springboard for MVPs and wireframes, not final products. Its arrival underscores how vibe coding is transforming development workflows—prioritizing conceptualization over manual implementation. Whether Google can refine Stitch into a market leader remains uncertain, but its entry guarantees intensified competition in the AI-powered design space. Developers eager to test the boundaries of prompt-based UI creation can experiment with the beta version as the tool continues evolving.
(Source: VentureBeat)
