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The streams of the program trade workers have been processed in the past few years by an affectionate of coding tools like The cursor and github copilot, who promise to improve productivity to automatically write code lines, fasten bugs, and change the test. The tools are Powered by ai models from Openai, Google Deepmind, Anthropmind, and Xai who quickly increased their performance on a software engineering engine range in recent years.
However, a new study Posted Thursday of the Non-Profit Group A Question in question to which the Today Codification Ai Today
Metre carried out a random controlled process for this study of 16 of experienced open developers and having completes 246 true jobs on large code repositories. The researchers almost a half of those tables such as “Ai-allowed, use of developers as the curson for the art as others
Before you finish their assigned activities, developers intended to use coding instruments will reduce their completion time for 24%. That was not the case.
“I’m soridding you, we’ll get you aged 19% – developers are slower when they use tool”, researchers said.
Notwillble, only 56% of developers in the study had an experience with the cursor, the main instrument you offered in the study. While almost all developers (94%) had a experience using some llms of coding work, this study was the first time it used for it to use some cares specifically. The notice of notes that developers were trained in the cursor in the preparation for study.
However, mountain track of quarters about the university codification promised by the Heads Property – based on your job “tips” – will immediately have their flowlows.
Metr searchers are point to a few potential reasons why it rolled the developers rather than speed.
The first, developers spend much more time ai and looking forward to replying when using vibe coders rather than actually encoding. You also tend to fight in big, complex code bases, that this test used.
The authors of the study not concluding some strong conclusions by these disclosures, without explicitly do not believe the sats flew always. Else Large scale studies they have shown that the coding harness to make the engineer engineer agreed.
The authors nutan that you are produced in the recent years, and that they do not want the same as a result of even three months from now. Metro also found that the use of coding ai significantly improved their ability to Complex completes, long horizon tasks Over the past few years.
Search offers yet another reason to be skeptical of the promised earnings of coding tools. Other studies showed that the coding harness today can introduce errors, and in some cases, wild vouchers. I am