DEVELOPMENT ENVIRONMENTrelease v0.26.0-75 · design 2026-10-13 (5e68d8f)
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AI Coding Tools Benchmark

How OpenAI Codex, Claude Code, and Cursor compare in terms of adoption, engagement, satisfaction, and productivity gains among software developers

This report is a lighter, free to everyone to access, version of a much more comprehensive benchmark of AI coding tools, and focuses on three prominent products: OpenAI Codex, Claude Code, and Cursor. All three are actively used by professional developers and represent distinct design philosophies: Codex as a cloud-first coding agent, Claude Code as a conversational and context‑rich partner, and Cursor as an AI‑native IDE.

The analysis is based on a global online survey designed and distributed by SlashData in Q4 2025, reaching 800+ professional developers who write code with the help of AI coding assistants, agents, or AI‑native IDEs. Respondents to the survey reported which AI coding tools they use, how intensively they use them, how satisfied they are with them, and what productivity gains they see, both in terms of pull request (PR) throughput and time saved each week.

Questions this report answers

Which AI coding tools are most widely adopted by professional developers, and what does this reveal about market maturity and competitive positioning?

How deeply are developers integrating each tool into their daily workflows?

How satisfied are developers with each tool in general and across core tasks in particular - writing new code, modifying existing code, and debugging - and how does this influence long‑term adoption?

To what extent do AI coding tools improve measurable outcomes such as PR throughput and weekly time savings, and which tools deliver the strongest returns?

How efficiently does each tool translate engagement into productivity? What does this mean for vendors aiming to improve their products and buyers seeking to maximise value from their engineering teams?