Back to news
Large Language Models
Aug 3, 2026

Developer Advocates Manual Typing of AI-Generated Code to Avoid Cognitive Debt

Aug 3, 2026
AI Summary

A developer shares their approach to using coding assistants while maintaining a deep understanding of their work. By manually retyping AI-generated code, they aim to reduce cognitive debt and enhance comprehension, despite acknowledging the slower pace compared to fully automating the process.

  • The developer uses coding assistants to expedite parts of their projects but feels unsatisfied with fully automated solutions.
  • They express concern about cognitive debt, preferring to understand the code rather than offloading that understanding to AI.
  • To mitigate this, they manually type out every line of code generated by the AI, ensuring they comprehend each aspect of their projects.
  • This method allows for a deeper understanding of the codebase and helps in identifying errors or poor design choices.
  • The developer believes that the industry is accumulating cognitive debt, which could lead to a lack of understanding of digital infrastructure in the future.
  • They emphasize the importance of fully understanding the software they produce, viewing it as essential to professional integrity.
llmcode generationcognitive debtprogrammingbest practices