Scaling LLMs to larger codebases
SMRTR summary
Scaling LLMs effectively in larger codebases requires strategic investments in guidance and oversight rather than simply automating engineers away. Better prompt libraries, cleaner codebases, and elevated design skills help achieve 'one-shotting' where LLMs generate working code in single attempts, avoiding costly rework cycles.
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
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