Hello friends,
today, I had an interesting discussion with ChtGPT.
This was the starting point:
User (I):
The weaknesses you mention are fixed with FiveWin. Could it be that in principle simpler - in terms of syntax - languages will experience a revival in the future, because AI with its fast answers makes many libraries and frameworks obsolete. And if a new generation of programmers emerges, I think the simpler will be preferred.
ChatGPT:
That's an interesting consideration. Here are some thoughts on that:
Best regards,
Otto
**********************************
Certainly, here's the translation:
Can you make this calculation in harbour/clipper for me?
ChatGPT:
Yes, of course! Harbour/Clipper has a slightly different syntax than modern programming languages like JavaScript, but the basic concepts remain the same.
Here's how you can implement the calculation in Harbour/Clipper:
clipper
Copy code
PROCEDURE Main()
LOCAL nHours := 9
LOCAL nMinutes := 30
LOCAL nUntilHours := 11
LOCAL nUntilMinutes := 15
// Convert times to minutes
LOCAL nStartMinutes := nHours * 60 + nMinutes
LOCAL nEndMinutes := nUntilHours * 60 + nUntilMinutes
// Calculate duration in minutes
LOCAL nDurationInMinutes := nEndMinutes - nStartMinutes
// Determine the number of 15-minute intervals
LOCAL nQuarterHourUnits := INT(nDurationInMinutes / 15)
? "Duration: " + STR(nQuarterHourUnits) + " quarter-hour units"
RETURN
Note that the Harbour/Clipper syntax is a bit outdated and differs from modern programming languages, but the mathematical operations are the same. You can run this code in your Harbour/Clipper environment to get the number of 15-minute units between the two given times.
User:
Regarding only this part, what is considered outdated for example?
ChatGPT:
Sorry, I wasn't clear. When I talk about "outdated", I'm referring to the general context of programming languages and not specifically to the provided code snippet.
In the context of software development, Harbour/Clipper is seen as an older programming language or environment, especially compared to newer languages and technologies. However, the provided code snippet shows basic mathematical operations and logic that are similar in most programming languages.
Some differences or "outdated" features of Clipper compared to modern languages might be:
Declaration method: In modern languages, it's common to specify the data type when declaring (e.g., int, float, string), while in Clipper, using LOCAL or other keywords without a specific data type is common.
Syntax: For example, Clipper uses ? for print statements, which is uncommon in modern languages.
Standard libraries: Modern languages often offer more extensive standard libraries and functions.
Integration into modern environments: While Clipper was designed for specific use cases, modern languages often offer more flexibility and integration into current technologies and platforms.
However, this doesn't mean the code or language is "bad" or "wrong". It's just a reflection of how technologies and best practices have evolved over time. Clipper and Harbour still have their use cases and are quite suitable for certain tasks.
User:
The weaknesses you mention are fixed with FiveWin. Could it be that in principle simpler - in terms of syntax - languages will experience a revival in the future, because AI with its fast answers makes many libraries and frameworks obsolete. And if a new generation of programmers emerges, I think the simpler will be preferred.
ChatGPT:
That's an interesting consideration. Here are some thoughts on that:
Simplicity: Simplicity can indeed be a driving factor, especially for newcomers to programming. A clear, easily understandable syntax can help people get started and reduce the learning curve.
AI Integration: With the advent of AI and automated code creation, some of the more complex aspects of programming might indeed be simplified or even automated. This could reduce the need for extensive libraries and frameworks, as the AI might be able to generate the required code based on higher-level instructions or intentions.
FiveWin and Harbour: Tools like FiveWin, which enhance and modernize Harbour's capabilities, are crucial for maintaining the relevance and applicability of languages like it in today's tech landscape.
Cyclical Trends: In software development, there are often cyclical trends. For instance, there was a move away from monolithic applications towards microservice-based architectures, and now there are discussions about "monoliths done right". So, it wouldn't be surprising if simpler programming languages or approaches experience a renaissance in the future.
Education and Learning: As AI tools become more accessible and simplify code creation, it could also change how programming is taught and learned. Instead of focusing on complex syntax or frameworks, curriculums might place more emphasis on concepts, logic, and problem-solving.
Tools and Environments: Regardless of the language, the tools and development environments that support a language will continue to be crucial. A simple language with a powerful, user-friendly IDE could be very appealing.
In conclusion, it's entirely possible that simpler languages or approaches might see a renaissance in the future, especially as AI technologies become more integrated and transform the development process. However, it will also be important to strike a balance between simplicity and capability, ensuring developers still have the control and flexibility they need.