Control the Ideas, Not the Code

4 hours ago

The author, a respected programmer, writes about AI and programming to help others adapt to changes, not for personal relevance.
He emphasizes that the programming field is evolving; focusing on code review is becoming suboptimal compared to controlling the ideas behind software.
Key reasons include: AI can generate large code volumes making line-by-line review impractical, LLMs excel at local code but require human input for big ideas, and time spent reviewing code detracts from higher-value tasks like design and QA.
AI helps address issues in complex domains like local LLM inference, where rigorous engineering and testing are more valuable than manual coding.
While he still reviews AI-generated code for Redis due to its widespread use, he believes this is mostly pointless and would prefer focusing on design documentation and idea ownership.
The future of programming should involve controlling ideas, quality, and testing, with AI handling code details, though young programmers may still need foundational experience through hands-on projects.

Hasty Briefsbeta