Latest AI news, expert analysis, bold opinions, and key trends — delivered to your inbox.
With Opal now baked directly into Gemini, Google is leaning hard into vibe-coding — the idea that you should be able to build software the same way you explain it to a friend. No frameworks, no syntax errors, just vibes and intent.
Inside Gemini’s web app, Opal lets you create mini AI apps (called Gems) by describing what you want in natural language. Gemini then turns that into a step-by-step workflow you can see, edit, rearrange, and reuse — all through a visual editor. If you want more control, you can hop into Opal’s Advanced Editor and fine-tune things further.
This isn’t just “AI helps you code.” It’s AI replaces the act of coding for a whole class of apps.
Vibe-coding has exploded over the last two years. Tools like Cursor, Lovable, and Replit have shown that people don’t actually want to “learn to code” — they want to ship outcomes. Anthropic and OpenAI are pushing developer-first workflows, but Google is aiming wider.
By putting Opal inside Gemini:
Google turns Gemini from an assistant into a creation environment
Gems become personal software, not just chat presets
Non-technical users get their first taste of building “apps” without friction
This is Google saying: the next billion builders won’t open VS Code.
1. Massive lowering of the barrier
If you can explain a task, you can build a tool for it. That’s huge for students, creators, marketers, operators — anyone who lives in workflows but not code.
2. Transparency beats black-box AI
The visual editor matters more than it sounds. Seeing your prompt turned into structured steps builds trust and understanding. You’re not just hoping the AI “gets it.”
3. Reusable personal software
Once you create a mini app, it’s not a one-off chat. You can reuse it, tweak it, and stack it with other tools. This nudges Gemini toward being a personal OS, not just a chatbot.
4. Strong ecosystem leverage
Google already has search, docs, workspace, and models. Opal inside Gemini could quietly become the glue across all of it.
1. Shallow apps, for now
These mini apps are powerful, but they’re not replacing full products. Complex logic, edge cases, and performance tuning still hit a ceiling fast.
2. Debugging is still fuzzy
When something breaks, you’re debugging intent, not code. That’s intuitive — until it’s frustrating.
3. Risk of “prompt spaghetti”
As workflows grow, managing long chains of prompts and steps could get messy without strong versioning or structure.
4. Lock-in is real
Gems live inside Gemini. If you build a lot of internal tools here, you’re betting on Google’s ecosystem long-term.
This isn’t about apps. It’s about who gets to build software.
Google is betting that:
Most software in the future will be small, personal, and disposable
AI will handle structure, logic, and orchestration
Humans will focus on intent and iteration
If that bet holds, Gemini isn’t competing with ChatGPT anymore — it’s competing with the idea of coding itself.
Hot take:
In a year or two, “Can you code?” will matter less than “Can you explain what you want clearly?”