The question is not to use or not use IA, but if those who use it really care about the impact of their long -term work
In recent years, artificial intelligence tools have emerged strictly in the daily practice of programming. Models such as chatgpt and copilot promise to accelerate developers’ work, generate code in seconds and even suggest design models. But beyond the initial charm, critical voices within the same community of developers also emerged.
One is that of Alex Kondov, a software engineer who, on his blog, raised an incisive reflection: The problem is not using IA to program, but to do it without care or criterion. The problem, of course, is that having the AI at hand is something that many see as an incentive to “give up” the criterion.
THE Vibrant code: When the code has a strange perfume
Kondov begins with a statement that dismantles any false controversy: “I don’t want to know how the code has reached its IDE (acronym for the integrated development environment). It could have come out of its fingers, a forum, a llm or a simulation with infinite monkeys. What matters for me is what will be integrated into the repository.”
In other words, the tool is not the problem; What is in question is the lack of responsibility. When a developer approves a Pull requestTheir concerns should focus on three essential points:
- Precision: Does the code produce the correct result?
- Comprehensibility: Can other colleagues understand the code when they resume it after a while?
- Maintenance: Is it possible to modify it easily?
The notice …
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Source: Terra

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