Hi guys, everything ok? Today I came to bring a text explaining why chatGPT will not replace you, it will replace bad, mediocre and lazy programmers.
Programming for personal use often involves simple solutions, where code can be executed in isolation on a local machine. However, when moving to real-world project development, the complexity increases significantly. Tools such as Bull and Kafka become essential for managing asynchronous tasks and ensuring that the system works efficiently, especially when exposed to a larger audience.
Unfortunately, many introductory courses present programming as a simple activity, leading students to believe that they can simply follow a step-by-step process to create applications. This approach does not reflect the reality of software development, which is full of challenges and nuances. There are a wide range of technical considerations that need to be taken into account, such as performance management and scalability.
Tools such as ChatGPT and GitHub Copilot can be valuable for experienced programmers, serving as aids in repetitive tasks and finding quick solutions. However, they lack the depth of understanding that a qualified professional has. Often, these tools can provide inaccurate answers and fail to ask crucial questions that help better define the needs of a project.
Another point to consider is the high cost and infrastructure required to develop advanced AI models. Few programmers will have access to this capability, limiting their ability to create complex AI systems from scratch. Therefore, most will end up using ready-made models, such as those offered by specialized companies.
While these tools may indeed replace some less experienced or less motivated programmers, they are unlikely to be able to replace skilled professionals in the short term. The true skill of a programmer lies in the ability to think critically and solve complex problems, something that technology cannot yet fully replicate.
In short, tools such as ChatGPT and GitHub Copilot have great potential to improve efficiency in day-to-day tasks, but they still need to evolve before they become adequate replacements for skilled programmers. The future may bring more integration of these technologies into the work of developers, but human knowledge and experience will continue to be essential.
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