The Code-Adjacent Power of AI
SMRTR summary
Developers typically view AI assistants as code generators, but their most valuable applications lie in code-adjacent tasks. These include understanding existing workflows in legacy codebases, extracting patterns from open source projects, creating onboarding documentation that maps unfamiliar technologies to known frameworks, and organizing project documentation. The author demonstrates how AI excels at processing and synthesizing information rather than just producing code.
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