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Coding Is Not Solved – Alex Ewerlöf Notes

3 hours ago
  • LLMs struggle with logic and non-functional requirements like security and scalability.
  • AI cannot be held accountable for mistakes, unlike human engineers.
  • Coding is not solved; LLMs are useful tools but have limitations, especially with large contexts.
  • AI-generated code may be cheaper but doesn't guarantee quality or reliability.
  • The economics of software favor SaaS for critical tasks, while AI is good for personal projects and POCs.
  • AI output is 'Nordic Gold' – cheap but not always the real thing; engineers offer accountability and consistency.
  • Be cautious with cloud AI due to data privacy concerns and potential misuse.
  • New roles like AI managers and quality engineers will emerge, but understanding and ownership remain crucial.