Is GitHub Copilot better than Cursor?

It depends on your use case. GitHub Copilot is a AI Coding Tool platform while Cursor is a AI Coding Tool platform. Our comparison table above uses 5 real detection signals for a data-backed verdict.

What is the key difference between GitHub Copilot and Cursor?

GitHub Copilot has 2 detectable signals in our database while Cursor has 3. Our scanner checks HTML patterns, script tags, CDN domains, HTTP headers, and meta tags to distinguish them.

How can I tell if a website uses GitHub Copilot or Cursor?

Use AI Website Detector — paste any URL at aiwebsitedetector.com and the tool simultaneously checks for GitHub Copilot's 2 signals and Cursor's 3 signals, returning a confidence score for each.

Can I switch from GitHub Copilot to Cursor?

GitHub Copilot and Cursor are both AI Coding Tool platforms, making migration more feasible. Review the feature comparison table above for compatibility details.

GitHub Copilot

AI Coding Tool

Cursor

AI Coding Tool

GitHub Copilot vs Cursor (2026): Which Is Better?

GitHub Copilot and Cursor are both popular choices, but they serve different needs. GitHub Copilot is a AI Coding Tool with a traditional, manual approach to building, while Cursor is a AI Coding Tool that prioritises developer or designer control.

Below you'll find a side-by-side breakdown of detection signals, AI scores, and technical fingerprints — plus our honest take on which builder wins for different use cases.

How we detect GitHub Copilot vs Cursor — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.

Side-by-Side Comparison

	GitHub Copilot	Cursor
Category	AI Coding Tool	AI Coding Tool
AI Score	65/100 — AI-Assisted	65/100 — AI-Assisted
Detection Signals	2 patterns	3 patterns
Script Detection	—	—
CDN Detection	—	—
Header Detection

GitHub Copilot

AI Coding Tool

GitHub Copilot is a ai coding tool with an AI Score of 65/100 (AI-Assisted). Our detection engine uses 2 signal patterns to identify GitHub Copilot-built sites.

No detections recorded yet

Detection Guide Try GitHub Copilot →

Sites using GitHub Copilot →Gallery →

Cursor

AI Coding Tool

Cursor is a ai coding tool with an AI Score of 65/100 (AI-Assisted). Our detection engine uses 3 signal patterns to identify Cursor-built sites.

No detections recorded yet

Detection Guide Try Cursor →

Sites using Cursor →Gallery →

Platform Overviews

GitHub Copilot

GitHub Copilot is an AI-powered code completion and assistance tool developed by GitHub and OpenAI, primarily used by software developers and engineering teams to accelerate coding workflows directly within editors like Visual Studio Code. On the web, GitHub Copilot's presence is typically identified through its integration within GitHub's own infrastructure, and AIWebsiteDetector's detection engine relies on 2 distinct HTML patterns to confirm its deployment on a given page. These patterns include specific markup signatures embedded within GitHub's feature pages and product surfaces, allowing the detector to distinguish Copilot-related content from other GitHub properties with reasonable precision. Because Copilot is a first-party GitHub product rather than a third-party embed, it does not distribute external CDN scripts or inject independent tracking headers — its detection footprint is tightly coupled to GitHub's own domain and HTML structure at its official home, github.com/features/copilot. This native integration makes GitHub Copilot a relatively contained detection target, where confidence depends almost entirely on structural HTML fingerprinting rather than network-level signals like script sources or HTTP headers.

Cursor

Cursor is an AI-powered code editor built on top of VS Code, designed for software developers who want deeply integrated AI assistance for writing, editing, and debugging code directly within their development environment. When Cursor-built or Cursor-promoted web projects are deployed, AIWebsiteDetector.com's engine identifies them through a combination of 2 distinct HTML patterns and 1 meta tag pattern embedded in the page markup — signals that reflect Cursor's characteristic project scaffolding and export conventions. These patterns typically appear in the structure of generated or AI-assisted codebases, making them reliable fingerprints even when the underlying hosting infrastructure varies. Detection confidence is reinforced by the consistency of these signals across scanned sites, as Cursor's opinionated tooling tends to leave predictable traces in the DOM and document head. Cursor itself is available at cursor.com under a freemium pricing model, with a free tier for individual developers and paid plans unlocking higher AI usage limits — meaning detected sites span a range from personal projects to professionally deployed applications.

Key Differences

Both GitHub Copilot and Cursor are classified as AI Coding Tool tools, making them the most direct competitors in this comparison.
GitHub Copilot scores higher on AI involvement (65/100 vs 65/100 for Cursor), meaning it relies more heavily on AI for site generation and content creation.
Our detection engine identifies GitHub Copilot using 2 fingerprint patterns and Cursor using 3 patterns — more signals generally means more reliable detection.

Which Should You Choose?

Choose GitHub Copilot if…

You prefer a ai coding tool solution
You want more manual control over the final output
GitHub Copilot's detection fingerprint of 2 signals means your site is reliably identifiable

Choose Cursor if…

You need a ai coding tool approach
You prefer traditional building tools with predictable output
Cursor's ecosystem and community better match your team's existing workflow

GitHub Copilot vs Cursor (2026): Which Is Better?

Side-by-Side Comparison

Example Websites

GitHub Copilot websites

Cursor websites

GitHub Copilot

Cursor

Platform Overviews

GitHub Copilot

Cursor

Key Differences

Which Should You Choose?

GitHub Copilot

Check Which Builder Powers a Site

More GitHub Copilot Comparisons