Will ChatGPT and other AI-powered tools replace Salesforce Developers?
AI has the potential to revolutionize the way we write code, including Salesforce code. With AI-powered tools, developers can write code faster and with fewer errors, freeing up time for more important tasks.
One of the main benefits of using AI to write Salesforce code is the ability to generate code automatically. AI algorithms can analyze existing code and data structures to generate new code optimized for specific tasks. This can be especially useful for complex tasks that would otherwise require a lot of manual coding.
Another advantage of using AI for Salesforce code is the ability to catch and correct errors before they become a problem. AI algorithms can analyze code as it is being written and flag any potential issues, allowing developers to fix them before they cause problems. This can save a lot of time and frustration for developers, as well as prevent costly errors from reaching production environments.
There are a few AI tools that can potentially generate Salesforce code, although they may not be as common as traditional code generation tools. Here are a few examples:
Overall, these types of AI tools can be useful for generating Apex code more quickly and accurately, but they may not be as feature-rich or comprehensive as traditional code generation tools. It's important to carefully evaluate the capabilities and limitations of any AI tool before using it to generate Apex code.?Using AI to write Salesforce Apex code can be a powerful tool for developers. It can help to speed up the development process, reduce errors, and allow developers to focus on more important tasks. While there are still some limitations to AI in code writing, it is an exciting area of development that is likely to continue improving in the future.
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Will this technology "replace" the Salesforce developer? Unlikely, at least not in the foreseeable future, but it will allow (require) Salesforce developers to evolve, and change the way we work. Likely, the quality of code developed for the Salesforce platform will improve, as developers turn their attention to the more complex (and interesting) tasks, and more standard and repeatable operations will continue to be analyzed and refined by the AI models. One way of looking at this, at least for today, is using a solution like ChatGPT is like combining a Google Search with the "Best Answer" from Stack Overflow and other Developer forums all in one request, and, it will include sample code with the result.
References
ChatGPT: https://openai.com/blog/chatgpt/
DeepGen: https://www.deepcode.ai/
Experienced principal developer and technical architect.
1 年I came up with the problem of write a tail-call optimized Fibonacci function in Python, to which chat gpt came up with an answer that it suggested was in fact tail-call optimized and proceeded to explain that its solution would avoid creating stack frames on each recursion. The problem is, it was wrong. Python does not natively support tail call optimization, and support must be added through writing a function decorator that manages stack frames or some similar approach. It is a problem that can be solved in 20-30 lines of code, but requires a great deal of contextual understanding of the runtime and computation in general. I suspect problems like this, that require large context around the problem, computation in general, or both, will continue to yield incorrect results well into the future. In short, I think this technology foreseeably can be a useful tool as you have identified but will only pose a threat to the kind of developer who finds their solutions on Stack Overflow and the like without understanding the deeper context.
Consultative new business sales leader.
1 年Eduardo Salas