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It can explain that the AI can achieve effective results to be a shock problem, such as developers are divided into technology. Rented Survey Offers In March, to ask how they feel about the AI coding, the proportion of the proportion enthusiastically enthusiastic (36 percent) has allocated (38 percent).
“Undoubtedly, the AI will change the production of the code,” said Daniel Jackson, a computer scientist at the MIT, which is currently investigating the EI to combine a large-scale software development. “But if we are for disappointment, it will not surprise me if the hype will pass.”
Jackson, AI models, the code written in a high-level language is completely different from the code written in a high-level language, which is more efficient for use, the code for use is completely different from the compilers which are more efficient. Sometimes an AI model can make a instruction and execute better than the developer – other times may worsen.
Jackson adds that vibe encoding is down while building a serious program. “” It says mostly employed “there is no good application,” he said. “As you look at a program, you care about working properly.”
Many program projects are complicated and the change to one part of the code can cause problems elsewhere. Experienced programmers are good in understanding the bigger picture, Jackson says, but “large language models cannot cause ways around such addictions.”
Jackson believes that software development can develop with more modular codes and less addictions to place the blind spots in the AI. EU expects to replace some developers, but also to approach many and direct the project design.
Very confidence in the AI ”It can be a slightly approaching disaster”, because “Jackson adds because of the codes full of safety, but we will have a new generation programmers that we cannot deal with these weaknesses.”
Learn to code
Coding tools included in the software development process also remain very insecure for the wider use of technology.
A company that provides technology to track the performance of large software systems, Christine Yen, CEO is more convenient to use simple or formula projects, such as construction component libraries, a company, a construction of a large program system. Nevertheless, he said that they increase the productivity of the developers in the company that uses the AI about 50 percent.
For something that the new code is important or resulting in performance is important to sensitive systems or information, “not named AI, not yet good enough.”
“The difficult part about the installation of software systems does not only write much code,” he says. “Engineers are still today, this will still need to have this bowl, judgment, management and direction.”
Others suggest a turn of the workforce. “We do not see less demand for developers,” he said. “We see fewer demand for moderate or low-employed developers.”
“If I need a product, I would need 50 engineers, and now I need only 20 or 30,” Naveen Rao is a company that helps VP in VP, large enterprises in AI. “This is completely real.”
Rao says that learning to say the code should remain a valuable skill for a while. “It says, ‘Do not teach your child to learn maths’,” he says. How to understand how to make the most of computers, it is likely to be extremely valuable, he adds.
The veteran encoders believe Yegge and who, believe, can adapt to the coming wave of beliefs. In books in Vibe encoding, double module recommends new strategies for software development, including durable test and plenty of experience. Yegge says it turns out to write aI to write a slightly risky form of art. “It says how to do this without destroying your hard drive and without drying your bank account.
