🤖 OpenAI released the research preview version of Codex, sparking industry discussions on AI replacing programmers.
🤖 OpenAI released the research preview version of Codex, sparking industry discussions on AI replacing programmers
OpenAI released the research preview version of Codex, an AI tool designed to execute code editing tasks in parallel. Codex can batch process dozens of small editing tasks, such as refactoring, testing, and generating boilerplate code, without the need for context switching. Some users, after experiencing it, said that the Codex model is of good quality, but compared with Cursor + Gemini 2.5-pro, there are no obvious differences in naming, style, and logic.
The article has triggered discussions on the impact of AI on the software engineer profession, and the main viewpoints include:
* Reduction in junior engineer positions: Many comments mentioned that there is a high demand for senior engineers in the current market, but relatively few positions for junior engineers, which may lead to a shortage of senior engineers in the future. Some comments pointed out that in the past, companies would recruit junior engineers in batches and provide training, but now they are more inclined to directly recruit senior engineers.
* AI replacing some jobs: Some people believe that AI may replace junior developers within 2 - 5 years and senior developers within 10 - 20 years. However, others think that AI is mainly used for assistance rather than completely replacing engineers, especially in senior positions that require in - depth understanding of business and user needs.
* Changes in the industry ecosystem: Comments mentioned that AI tools may change the software development model. For example, senior engineers may take on more roles in code review and guidance, while AI is responsible for performing specific coding tasks. In addition, some people are worried that over - reliance on AI may lead to the loss of innovation ability and talent reserve in the industry.
* The incentive issue of open - source contributions: Some comments pointed out that since AI models improve their capabilities by learning open - source code, this may reduce developers' enthusiasm for contributing open - source code, as their contributions may ultimately be used to replace their own jobs.
* The impact on education and training: Some commentators believe that traditional university education may need to be adjusted to meet the needs of the AI era. For example, more emphasis should be placed on cultivating students' practical skills and problem - solving abilities. In addition, vocational training and apprenticeship systems may become more important.
* The actual application effect of tools: Although Codex has advantages such as parallel task execution, some users think that currently AI tools still have limitations in writing non - template code and require a lot of manual review and modification. However, some users also said that AI tools are very useful in writing small scripts and assisting specific tasks.
* Security and ethical issues: Some comments mentioned that the abuse of AI tools may bring security and ethical risks, such as being used to develop malware or violate privacy. Therefore, the use of AI tools needs to be regulated and restricted.
(HackerNews)
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