1 link tagged with all of: testing + prompt engineering + accuracy + ai coding
Click any tag below to further narrow down your results
Links
This GitHub repo by Andrej Karpathy outlines four simple rules in 65 lines that boost AI coding accuracy from 65% to 94%. It covers thinking before coding, keeping implementations minimal, making surgical changes, and defining clear success criteria.
- A 65-line CLAUDE.md file allegedly boosted AI coding accuracy from 65% to 94%
- The guide is attributed to Andrej Karpathy and reportedly hit 220,000+ stars on GitHub
- It boils down to four rules: think before coding, keep implementations minimal, make surgical/targeted changes, and define clear testable success criteria upfront