Coding After Coders: The End of Computer Programming as We Know It

2026-03-12 · Source: Simon Willison's Weblog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Novice, quick

Summary

Clive Thompson's New York Times Magazine article, "Coding After Coders: The End of Computer Programming as We Know It," published on March 12, 2026, explores the impact of AI-assisted development on the software industry. The piece draws on interviews with over 70 software developers from major tech companies including Google, Amazon, Microsoft, and Apple, alongside industry figures like Anil Dash and Thomas Ptacek. A key theme is the optimistic outlook among developers, who believe that AI's tendency to "hallucinate" can be mitigated in coding through automated testing, a unique advantage compared to fields like law. While the article acknowledges concerns about the future of programming jobs, it also suggests that the Jevons paradox might lead to an overall increase in demand for development work. One anonymous Apple engineer expressed a lament for the loss of hand-crafting in coding, highlighting potential corporate pressures on dissenting views.

Key takeaway

For software developers evaluating the integration of AI into their workflows, recognize that automated testing provides a critical safeguard against AI "hallucinations." Your ability to verify AI-generated code through testing offers a distinct advantage over other professions, potentially increasing your productivity and the overall demand for your skills. Focus on developing strong testing practices to effectively leverage AI tools.

Key insights

Automated testing in software development uniquely tethers AI agents to reality, mitigating hallucination risks.

Principles

• Automated testing validates AI-generated code.
• Jevons paradox may increase demand for coding.
• Corporate dynamics can suppress critical voices.

In practice

• Implement robust testing for AI-generated code.
• Explore AI tools for code generation.
• Monitor industry shifts in developer demand.

Topics

• AI-assisted Development
• Future of Programming
• AI Hallucinations
• Software Engineering
• Jevons Paradox

Best for: Software Engineer, AI Engineer, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.