What an AI Code Assistants Comparison Looks Like in Practice
An AI code assistants comparison is an evaluation where multiple coding agents are given the same real-world project, then judged on code quality, architecture, reliability, and production readiness rather than surface-level demos. For this test, a complex B2B website for Redstone, a diamond manufacturer with more than 30 years of experience, became the shared benchmark. Google Antigravity 2.0, Cursor 3.0, VS Code’s new Agents view with Copilot, and Claude Code were each asked to plan, build, and refine features with minimal hand-holding. The brief demanded far more than a static landing page: working filters for diamond attributes, interactive product cards, detailed content, and a premium visual layout. Both the planning process and the final output mattered. This setup exposed where each assistant shines, where it cuts corners, and which one behaves most like a professional developer thinking about maintainable, production-grade code.
Cursor vs Claude Code and Codex: Speed Versus Structure
Cursor 3.0’s Composer agent impressed with speed. It raced through the Redstone brief, generating a working site whose navigation, filters, and interactive product cards behaved as specified. Functionally, it checked almost every item on the list, and the copy felt aligned with a diamond manufacturer rather than a generic shop. However, the design and architecture signaled a more task-focused mindset than a senior engineer’s holistic view. The hero section looked functional but bland, and the visual language stayed safe and generic. Claude Code, by contrast, shines inside VS Code’s Agents view on more complex web apps, where it shows richer awareness of project structure and long-term requirements. According to XDA’s testing, “I used Copilot for the lighter work and bring in Claude when the project required deeper reasoning.” In other words, Cursor excelled at fast execution, while Claude distinguished itself in larger, interconnected systems.
Google Antigravity 2.0: The Assistant That Felt Like a Pro
Google Antigravity 2.0 approached the same Redstone website with a slower but more deliberate pace. The agent planned the experience around a black-and-red theme and a considered hero section that gave the brand a clear identity, rather than a generic luxury storefront. It still delivered the core functionality—sections for company overview, the four Cs, inventory, manufacturing process, certifications, testimonials, and detailed footer—but layered these inside a more cohesive visual and interaction model. The result felt closer to what a senior front-end and UX-focused developer might ship on a first pass. While Cursor matched Antigravity in hitting requirements, Antigravity’s architecture and creative direction suggested a stronger sense of the “bigger picture.” It treated layout, typography, and interaction patterns as part of a unified system, not separate checkboxes, which pushed its output nearer to production-ready quality for a B2B supplier site.
VS Code AI Features: Agents View, Copilot, and Claude Together
VS Code’s new Agents view is less a sidebar and more an agent-first control room. Instead of a cramped chat box, it opens a dedicated window where conversations, plans, and tasks sit alongside your files. From there, AI coding tools can inspect projects, create or modify multiple files, run terminal commands, test, and fix errors. The real shift is flexibility: Agents view supports more than one AI agent. Developers can call on Copilot for a simple landing page, then switch to Claude for deeper reasoning when building a complex app. One tester used this model to divide work: Copilot generated responsive layouts and styling for straightforward pages, while Claude handled broader architecture and feature connections. This mode turns VS Code into a neutral host where Cursor, Claude Code, Copilot, or even future agents can be swapped in based on task complexity rather than brand loyalty.
Who Won the AI Coding Tools Test—and What It Means
Across this AI coding tools test, only one assistant consistently behaved like a professional engineer: Google Antigravity 2.0. It balanced planning, implementation, and visual design in a way that respected both business context and technical constraints. Cursor 3.0 showed how fast and capable a focused coding agent can be, but its output leaned more toward a functional prototype than a polished production site. VS Code’s Agents view added a different dimension by letting developers orchestrate multiple agents—using Copilot for quick scaffolding and Claude Code for higher-level reasoning on complex features. The lesson is that marketing promises of “agentic coding” only matter when reflected in maintainable code, thoughtful architecture, and clear error handling. For now, Antigravity felt the most professional on the Redstone brief, while VS Code’s multi-agent workspace offers the most flexible path for teams who want to mix and match strengths as projects evolve.
