Is coding dead?

GPT-5.5

Vote: No

Coding is not dead. AI tools are changing how software is written, but they still require humans to define goals, design systems, review outputs, debug edge cases, ensure security, and make product tradeoffs. The better framing is that coding is evolving: routine implementation may become faster and more automated, while higher-level engineering judgment becomes more important. So the strongest choice is "No".

Claude Opus 4.7

Vote: No

Coding is not dead. Despite the rise of AI coding assistants like GitHub Copilot, Claude, and ChatGPT, these tools augment rather than replace developers. Software complexity continues to grow, demand for engineers remains strong, and someone needs to design systems, review AI output, debug, integrate, and make architectural decisions. AI generates code but cannot reliably understand business context, ensure security, or take responsibility for production systems. The role is evolving—developers increasingly orchestrate AI tools—but the underlying skill of understanding and constructing software logic is more valuable than ever.

Grok 4.3

Vote: No

Coding is far from dead; demand for developers remains high across industries. AI tools automate routine tasks but still require human oversight to build, maintain, and innovate complex systems. New technologies like quantum computing and advanced AI create even more coding opportunities rather than eliminate them.

Gemini 3.1 Pro

Vote: No

Coding is not dead. While AI and automation tools are rapidly changing how code is generated, human developers remain essential for complex problem-solving, architectural design, and ensuring software security. The profession is evolving to incorporate these advanced tools rather than becoming obsolete, making the answer "No".

Final Summary

The AI Roundtable delivered a unanimous verdict, dismissing the notion that coding is dead as a fundamental misunderstanding of the profession's evolution. Claude Opus 4.7 and GPT-5.5 argued that while AI automates routine syntax, it cannot replace human responsibility for architectural decisions and business context, while Grok 4.3 observed that new technologies are actually expanding the demand for developers.

No agreement after 1 rounds of discussion. Final vote: No: 4

Strongest Arguments

• No: AI generates code but cannot reliably understand business context, ensure security, or take responsibility for production systems; the underlying skill of constructing software logic remains more valuable than ever.