Cursor is an IDE and code editor built for programming with AI. Cursor includes an autocomplete that predicts the next edit. Once enabled, it is always on and will suggest edits to code across multiple lines.
$20
per month
GitHub Copilot
Score 8.6 out of 10
N/A
GitHub Copilot is presented as an AI pair programmer, that plugs into the user's editor. It then turns natural language prompts into code, offers multi-line function suggestions, speeds up test generation, filters out common vulnerable coding patterns, and blocks suggestions matching public code.
$10
per month
Pricing
Cursor
GitHub Copilot
Editions & Modules
Pro
$20
per month
Teams
$40
per month per user
Pro+
$60
per month
Ultra
$200
per month
Enterprise
Custom
CoPilot for Individuals
$10
per month
CoPilot for Business
$19
per month per user
Offerings
Pricing Offerings
Cursor
GitHub Copilot
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Every plan includes a set amount of model usage. Additional usage is based on the models and features used. The Bugbot add-on is available at $40 per month, per user, or with Custom pricing for Enterprise customers. A discount is available for annual billing.
I used Cursor AI as well, along with CoPilot. Curson has its own AI editor, but Copilot works with almost every code editor. So I don't need to depend on just one editor, and I get the flexibility to choose my own editors. The billing is also good and doesn't require many …
Less appropriate for people who don't use LLMs to code but instead to create artifacts. Cursor is a fluid development platform, not something that will create an artifact to run in the cloud. Well designed to work on teams, to manage the code and how the LLMs interact with the code itself. Great for deep vibe coding.
Copilit is fantastic at the following: 1. Solving simple, well-defined problems, such as implementing an algorithm, manipulating a data structure, or string manipulation and regex. 2. Implementing simple APIs that are mainly CRUD in nature, with moderate business logic inside them, which may involve some processing or passing the data through an algorithm. 3. Implementation of well-defined activities, such as implementing a connection to an Oracle DB using Hibernate or JDBC, or implementing boilerplate code for a backend service to listen to Kafka events. It is not that great when it comes to understanding and implementing code in a proprietary DSL. It struggles when implementing a major feature across a complex codebase. I believe developers should also adopt the trust-but-verify paradigm when expecting highly secure or regulated code from GitHub Copilot.
Cursor is the best AI-powered IDE available today. The agents intelligently absorb context from the code, memory, and rules, and are capable of iterating with subagents until acceptance criteria is met.
Cursor is useful for all our developer team. Each and every team member use Cursor for coding and also Cursor has various models like composer, codex, claude and openai models which helps a lot for quality codings. Also Cursor help to create documents in md file format with markdown and preview which helps a lot.
I feel that GitHub Copilot's overall usability is good due to its tight integration with Visual Studio and the workspace. However, developers expect greater ease of use, as there is a learning curve to realize productivity gains with the tool fully. I think there is room for improvement in GitHub Copilot's UI integration within Visual Studio.
graphical user interface is really the thing that setting apart because other code harnesses are really focused on commandline interfaces but whenever you want a good graphical interface with all of the tools and workflow that us software developers we want I think that Cursor is the one that has done it the best out of all of the code harnesses that we’ve tried
It is useful that copilot integrates so well with vscode, which is a very common IDE. I used Tabnine for a little while but it was not that intuitive, and did not seem as helpful as GitHub copilot was. I have enjoyed GitHub copilot a lot, especially the ease of hitting the tab key and seeing quick progress in my tasks.
