AI Programming: Claude Code, Codex, and Cursor Under Reality Check
1 min read
AI for Software Engineering (Copilots, SDLC, Testing)
-/5
In short
- Three AI coding agents were tested in a real repository to evaluate their capabilities in solving identical tasks.
- The results indicate that, despite positive assessments in the form of green checks, the quality of the generated pull requests is insufficient to deem them complete and ready for deployment
- These observations raise questions about the reliability and applicability of such AI tools in software development.
Three AI coding agents were tested in a real repository to evaluate their capabilities in solving identical tasks. The results indicate that, despite positive assessments in the form of green checks, the quality of the generated pull requests is insufficient to deem them complete and ready for deployment. These observations raise questions about the reliability and applicability of such AI tools in software development. It is important to consider the findings in the context of current developments in AI programming and to weigh the potential risks and opportunities. A final assessment of the performance of these agents would be premature at this point.
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(g+) KI-Programmierung: Claude Code, Codex und Cursor im Realitätscheck — Golem.de - Softwareentwicklung (DE)