Atomic ObjectPatrick Pale3 min readintro
Even with LLMs, Let’s Pair Together
Summary
This article argues that pair programming remains valuable even with the rise of LLMs, helping engineers critically evaluate AI output, improve tool interaction, and preserve essential human collaboration. It suggests pairing can transform LLM downtime into productive planning or tool improvement.
- Pairing fosters critical evaluation of LLM-generated code and prompts.
- It helps improve how engineers interact with and utilize LLM tools.
- Downtime while waiting for LLMs can be used for collaborative planning or tool improvement.
- Pairing still acts as a preliminary code review, focusing on architectural decisions.
Engineers adapting their workflows to integrate LLMs should consider how pair programming can enhance quality, learning, and team cohesion.
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