The AI Agent Race Is On. But Are We Watching the Right Race?

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Claude Code, OpenAI Codex, GitHub Copilot, Cursor and a growing field of challengers are competing to define the future of software development. A new Techstrong special report examines who is ahead, how the race should be measured and what enterprises need to consider before placing their bets. Which AI coding agent is winning? It sounds like a simple enough question. Claude Code has surged among professional developers. OpenAI Codex is gaining ground quickly. GitHub Copilot enjoys enormous distribution and sits inside the repository and pull request workflows enterprises already use. Cursor has emerged as an agent-native development environment. Google brings powerful models, cloud infrastructure and developer reach. Devin and other specialists are pursuing longer-running autonomous work, while open source projects such as OpenHands, Cline, OpenCode and Aider give organizations more control over models, data and deployment. There is no shortage of contenders. There is also no shortage of numbers supposedly telling us which one is ahead. The problem is that those numbers are frequently measuring different things. Model-routing platforms measure token traffic. Developer surveys measure which products their respondents say they use. Enterprise surveys measure which foundation models organizations have placed into production. Benchmarks measure the performance of a specific model operating inside a specific harness, with a particular set of tools, instructions, compute resources and time limits. Customer stories show what one organization accomplished with one …

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