The distance between “I wish someone would build this” and a working prototype is getting shorter. You describe a tool, an AI writes some code, and a preview appears. Then you ask for changes. Somewhere in the process, your innocent little spreadsheet idea acquires a dashboard and starts demanding a logo.
That is the appeal of what people increasingly call vibe coding: building software through conversation, with an AI handling much of the implementation. It can make experimentation accessible to people who would never begin with an empty code editor. It does not automatically turn the person writing the prompt into an experienced software engineer.
Google Brings the Idea Into Search
On March 4, Google announced that Canvas in AI Mode was available to everyone in the U.S. in English, with support for writing and coding tasks. Users can describe an interactive tool, get a prototype in a side panel, inspect its code and refine it through follow-up requests.
Google’s example is a scholarship dashboard that organizes requirements, deadlines and amounts. That is a helpful illustration of the opportunity: a custom interface for a specific problem, built where someone was already searching for information.
This is distinct from Canvas in the Gemini app. Google introduced that workspace in March 2025 for Gemini and Gemini Advanced users globally. The new Search announcement should not be mistaken for the first time Google offered this kind of workspace, or for a formerly paid-only feature suddenly becoming free.
Claude Code Is a Tool, Not a Model
Another name in this conversation is Claude Code. Anthropic introduced it as a research preview on February 24, 2025, alongside Claude 3.7 Sonnet. Sonnet was the model; Claude Code was the coding tool, designed to work from a terminal and take actions in a project.
That distinction helps explain why these products can feel so different. A model provides the underlying language and coding abilities. A tool gives it a place to work, access to files and an interface for proposing or making changes. A browser-based prototype builder and a terminal-based coding assistant do not offer the same starting experience.
For someone with no programming background, seeing a working preview can be more approachable than meeting the command line for the first time. For someone maintaining an existing codebase, working directly with that project may be more useful. There is no single interface that magically suits everyone.
The Prototype Is Where the Conversation Starts
Imagine asking for a dashboard that tracks mentions of a small business. Getting a page with a chart is one milestone. Connecting reliable data, handling missing results, keeping credentials private and making the chart update correctly are different milestones.
The same goes for a booking form. It can look finished while still allowing two people to reserve the same slot. A working demonstration tells you something valuable: the idea can be expressed. It does not tell you that every important failure case has been handled.
This is where human judgment remains useful. Define what should happen, try inputs that might break it, and check what actually gets stored or sent. If the tool affects customers, money or private information, a review by someone who understands the implementation is a sensible part of getting it ready.
Why This Is Still Exciting
None of that cancels the benefit. A prototype can help a team agree on what it wants before investing in a larger project. A personal tool can solve a small, annoying problem without becoming the next venture-backed platform. Sometimes a useful afternoon project is allowed to remain a useful afternoon project.
The broader idea goes beyond the question-and-answer interface described in our guide to ChatGPT features: software begins doing parts of a task instead of only explaining how you might do them. The interesting question becomes which actions it can take reliably, and where the person using it should stay involved.
Our resident cat would naturally request a meal-planning app. The first specification would be “more meals.” The second would remove all spending limits. This is why even a very enthusiastic product owner needs someone willing to review the requirements.
Vibe coding makes starting easier. The next challenge is learning what it takes to finish.
