Coding: Independent vs Computer-Assisted

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Computer-Assisted Coding versus Independent Coding: A Comparative Analysis


Artificial Intelligence has been significantly impacting the field of Software Development. While human programmers write software programs, AI has elevated programming by improving code efficiency and shortening development time. Here's a brief comparison between computer-assisted coding and independent coding.

Computer-Assisted Coding (AI-based coding)

Computer-assisted coding is an AI-based approach that utilizes advanced algorithms and machine learning models to support the software development process. Tools like GitHub Copilot, Claude, ChatGPT, and others can provide real-time suggestions, debug code by analyzing it, and autocomplete as you type. Since these tools can perform tasks quickly and easily for developers, the software development process has entered a new phase.

Independent Coding

In contrast, independent coding involves a programmer analyzing requirements and writing code from scratch. For example, consider developing an application that calculates the sum of two numbers. 

The developer first thinks about the logic and outlines it in simple algorithmic steps in plain English. They assume two inputs from the user and write the program to compute their sum. Depending on the programming language used, the developer then writes the code following the syntax and executes it. 

Tasks that AI can do in seconds typically take much longer for a human programmer. This illustrates how AI has transformed programming. Indeed, if given a detailed prompt including the programming language, the code can be generated within seconds.

Differences

Learning Curve:

  • More in independent coding
  • Less in computer-assisted coding

Productivity:

  • Less in independent coding
  • More in computer-assisted coding

Development Time:

  • More in independent coding
  • Less in computer-assisted coding

Similarities

  • Despite these differences, there are similarities between independent coding and computer-assisted coding:
  • Basic programming knowledge is essential for both methods.
  • Code review by a professional programmer is necessary.
  • Continuous learning is important.

Combining human programming expertise with AI assistance is likely to be the most effective approach for future software development. Instead of just prompting and copying code, programmers should think of themselves as Software Architects guiding AI to quickly generate code based on their logic. Once AI provides the code, developers can review it for accuracy and learn new syntax along the way. 

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