This comparison records my experience in July 2024. AI products, prices, models, and adoption figures change quickly.

Cursor was the best AI coding assistant I had used because it kept the two things I needed in one place: a capable coding chat and direct access to the files in my project.

I reached that judgment while building a life-coach AI app. Cursor could work across routes, controllers, services, repositories, and database files without forcing me to move every snippet between a browser and an editor. It handled much of the syntax and boilerplate while I stayed focused on architecture and behavior. That concrete workflow mattered more to me than a leaderboard.

The July 2024 Field

ChatGPT: ChatGPT was useful for generating snippets, debugging, and explaining concepts. In the workflow I was using, it still required a great deal of copying and pasting. A reported acceptance figure of roughly 26 percent needs its original source and study conditions before it carries much weight 1.

Codium: At the time, published product summaries claimed more than 300,000 monthly active users, support for more than 40 IDEs and 70 languages 2, and a team plan priced at $19 per month 3. Reviews highlighted multiline completion and chat 4. Those numbers were a snapshot, not a permanent comparison.

Cursor: Cursor advertised use by engineers at companies and institutions including Tesla, IBM, Harvard, and MIT 5. A third-party source claimed that its GPT-4 workflow ran three times faster than direct API use 6. Cursor also advertised compatibility with Visual Studio Code extensions 7, while a contemporary pricing summary listed a free plan and a $30-per-month Pro plan 8. Each is a dated vendor or third-party claim, not the reason I preferred the product.

GitHub Copilot: GitHub reported adoption by more than 20,000 organizations 9. A study summary reported that participants completed a defined coding task 55 percent faster 10. Other published figures included suggestion acceptance near 30 percent, an 8.69 percent increase in pull requests, a 15 percent increase in merge rates 11, and a survey result in which 75 percent of developers reported feeling more fulfilled 12. These measures describe different samples and outcomes. They do not by themselves settle which assistant is best for a particular project.

Experimental agents: AIDR and OpenDevin aimed at greater task autonomy. One contemporary summary assigned such agents roughly 13 percent “efficiency” 13, but the term needs a defined benchmark. In my use, orchestration and memory were not yet dependable enough for unsupervised work.

Why Cursor Won for Me

• Autocomplete: Cursor’s suggestions were more useful to me than Copilot’s on the project I was building.
• Available models: In July 2024, Cursor offered access to Claude 3.5 Sonnet and GPT-4-class models, according to its product material 5 7.
• Project context: It made adding and managing files easier than my browser-based ChatGPT workflow.
• One workspace: It joined completion, chat, and file editing in the editor I was already using.

Agents will become more useful as context retrieval, file management, and task orchestration improve. In July 2024, they were not ready for me to trust them alone 13. Cursor was valuable for the opposite reason: it increased my reach while keeping me in the loop.