What AI coding assistants need to prove on real projects
An AI coding assistant comparison is only meaningful when the tools are asked to deliver a complete, production-level project that tests planning, implementation, debugging, and design judgment under the same constraints. In this head-to-head, Google Antigravity 2.0, Cursor 3.0, and VS Code’s new AI coding agents were evaluated on how closely they behave like a professional developer rather than a code autocomplete toy. The core test was a complex website build for a B2B diamond manufacturer, with strict requirements for functionality, structure, and premium design. Beyond that, VS Code’s Agents view was tested in broader workflows: planning, feature implementation, debugging, and multi-agent collaboration. The focus was not on novel features, but on whether each tool could plan the work, make sensible trade-offs, refine code based on feedback, and fit into the everyday habits of an experienced engineer.
Cursor 3.0: Fast coder with solid structure, weaker design
Cursor 3.0’s Composer agent highlights how far AI developer tools have come when asked to build a full website from a single prompt. It moved through the Redstone project quickly and produced a complete, working site: navigation behaved correctly, filters for shape, carat, color, clarity, and price worked, and interactive product cards met the functional brief. The copywriting felt tailored to a diamond manufacturer, with headings and calls to action that understood Redstone’s B2B positioning. Where Cursor fell short was in visual polish. The layout was clean and organized, but the design lacked the premium feel the brief demanded. The hero section, in particular, looked more like a generic template than a memorable brand moment. For teams that prioritize speed and structural correctness over art direction, Cursor is a strong candidate for best coding assistant, but creative direction will still need human hands.
Google Antigravity 2.0: More like a senior front-end developer
Google Antigravity 2.0 approached the same Redstone brief with a slower pace but a more thoughtful result. Its agentic coding experience, centered on Gemini, planned and executed the project in a way that felt more like a senior developer stepping back to see the whole system. The black-and-red theme and a considered hero section gave the site a distinctive identity instead of a generic luxury catalog. According to XDA’s test, both tools produced working websites, but only one “approached the task list like a senior developer who understood the bigger picture rather than simply checking requirements off the list.” That difference matters in production work, where design coherence, information hierarchy, and subtle animations are part of the product. Antigravity displayed that broader awareness, balancing structure, function, and visual identity in a way that matched the brief more closely than Cursor.

VS Code’s Agents view: A flexible AI hub for complex workflows
VS Code AI coding is not one assistant, but a workspace for many. The new Agents view replaces the old side-panel chat with an agent-first window where tasks, not files, are the starting point. From there, an agent can inspect the codebase, create or modify multiple files, run terminal commands, test changes, and fix errors without leaving the editor. It shines in planning and prototyping: a Plan agent can break a feature into clear steps so you can check the approach before code changes land, while other agents can build interfaces, connect logic, and update tests based on plain-language instructions. One quotable advantage is that VS Code “is not locked into a single agent for every task,” letting you pair lightweight Copilot help for simple pages with deeper reasoning from Claude on multi-feature apps. For professional workflows, the integration and agent switching are its biggest strengths.
Which AI coding assistant feels production-ready?
Putting these AI developer tools side by side shows that competence now means more than generating syntax. Cursor vs Antigravity is a trade-off between Cursor’s speed and dependable structure and Antigravity’s broader design judgment and senior-developer mindset. Both can build a complex website from one prompt, but Antigravity’s willingness to treat the brief as a product, not a checklist, makes it the stronger choice for teams that care about brand and UX. VS Code’s Agents view takes a different angle: it becomes the hub where you choose the right agent—Copilot, Claude, or others—for each type of work, from planning to debugging. If you want a single, agentic environment, Antigravity feels closest to a professional front-end developer; if you want maximum flexibility wrapped around your existing editor, VS Code’s multi-agent workflow is the safer bet for production-level requirements.






