Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
The pandas team has released pandas 3.0.0, a major update that changes core behaviors around string handling, memory ...
Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your time well during tests. Focus on making your code run fast and fixing it when ...