Google AI Studio 2.0 is a familiar hub for building and testing with Google’s models, but the alternatives split quickly based on how—and where—you want AI to show up in your workflow. IDE-first tools like Cursor and Windsurf prioritize in-editor diffs, repo context, and agentic refactors for developers living in real codebases, while browser-based builders like bolt.new and Lovable emphasize “prompt to running app” speed and polished MVP output with minimal setup. On the other end, Codex 3.0 by OpenAI leans into more autonomous, repo-reading execution with sandboxed test loops, appealing when you want to delegate larger chunks of work rather than autocomplete your way there.
In evaluating these options, we looked at how well each product handles project context and multi-file changes, the quality of its execution loop (diff control vs full automation), and how smoothly it fits into existing workflows (VS Code parity, GitHub/Supabase integrations, export/ownership). We also weighed pricing and usage transparency (credits/tokens), reliability on larger projects, collaboration and handoff, and the practical trade-offs between rapid prototyping and long-term maintainability.