https://mklab.gr/ Thu, 04 Jun 2026 13:47:12 +0000 MyBB https://mklab.gr/showthread.php?tid=76 Mon, 01 Jun 2026 23:17:26 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=76 Article : Coding After Coders: The End of Computer Programming as We Know It
Author :  Clive Thompson

Summary : The article  explores how AI agents (like Claude and ChatGPT) are shifting the nature of software engineering:

• From "Builder" to "Architect": Silicon Valley developers increasingly write prompts and manage AI rather than writing line-by-line code manually. Their job is shifting from construction to high-level design, review, and "babysitting" AI behavior.
  
• Massive Productivity Gains: AI automates the drudgery and allows tasks that once took days to be finished in minutes, boosting efficiency anywhere from 10x to 100x. It is uniquely effective at software development because it can self-test and validate its own code to catch hallucinations.
  
• Industry Concerns: While many developers enjoy being freed from tedious tasks, the shift raises steep economic concerns. There is a looming threat of job displacement for junior developers, and a running debate over whether future engineers will lose the foundational skills and intuitive understanding that comes with coding by hand.
  

SOURCE

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]]> Article : Coding After Coders: The End of Computer Programming as We Know It
Author :  Clive Thompson

Summary : The article  explores how AI agents (like Claude and ChatGPT) are shifting the nature of software engineering:

• From "Builder" to "Architect": Silicon Valley developers increasingly write prompts and manage AI rather than writing line-by-line code manually. Their job is shifting from construction to high-level design, review, and "babysitting" AI behavior.
  
• Massive Productivity Gains: AI automates the drudgery and allows tasks that once took days to be finished in minutes, boosting efficiency anywhere from 10x to 100x. It is uniquely effective at software development because it can self-test and validate its own code to catch hallucinations.
  
• Industry Concerns: While many developers enjoy being freed from tedious tasks, the shift raises steep economic concerns. There is a looming threat of job displacement for junior developers, and a running debate over whether future engineers will lose the foundational skills and intuitive understanding that comes with coding by hand.
  

SOURCE

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]]> https://mklab.gr/showthread.php?tid=75 Mon, 01 Jun 2026 23:09:56 +0300 mklabgr]]> https://mklab.gr/showthread.php?tid=75 Article : “Coding is dead”? Teaching computer programming in the age of AI
Author :  Craig McNeile, University of Plymouth

Summary : Despite claims that "coding is dead" due to AI, computer programming is not obsolete; instead, the way it is taught must evolve.

• The AI Shift: AI tools excel at writing small blocks of code, explaining errors, and acting as 24/7 tutors, which boosts student motivation. However, they struggle with massive, complex codebases and local software setups.
  
• The Danger of Over-Reliance: Students must still learn foundational coding. Without understanding the basics, they cannot effectively evaluate or debug AI-generated code.
  
• The New Curriculum: Teaching must shift from memorizing syntax to building test cases, evaluating code coverage, and explaining logic to instructors.
  

Ultimately, AI will not replace programmers; it is a productivity tool that requires developers to focus on higher-level thinking and rigorous testing.

SOURCE]]> Article : “Coding is dead”? Teaching computer programming in the age of AI
Author :  Craig McNeile, University of Plymouth

Summary : Despite claims that "coding is dead" due to AI, computer programming is not obsolete; instead, the way it is taught must evolve.

• The AI Shift: AI tools excel at writing small blocks of code, explaining errors, and acting as 24/7 tutors, which boosts student motivation. However, they struggle with massive, complex codebases and local software setups.
  
• The Danger of Over-Reliance: Students must still learn foundational coding. Without understanding the basics, they cannot effectively evaluate or debug AI-generated code.
  
• The New Curriculum: Teaching must shift from memorizing syntax to building test cases, evaluating code coverage, and explaining logic to instructors.
  

Ultimately, AI will not replace programmers; it is a productivity tool that requires developers to focus on higher-level thinking and rigorous testing.

SOURCE]]>