The rise of Cursor, Copilot + VSCode, Replit, and Qwen2.5 among others, have caused me to rethink my ways. Focus will still be key in discerning what to build.

AI development environments change the global technology conversation. They also influence the pace of hiring and team augmentation decisions.

Qwen2.5-Coder Open Source

Alibaba Group has released the Qwen2.5-Coder open-source model. Qwen2.5-Coder-32B-Instruct is currently the best-performing open-source code model (SOTA), matching the coding capabilities of GPT-4o. Qwen2.5-Coder offers six different model sizes: 0.5B, 1.5B, 3B, 7B, 14B, and 32B.

Project: https://qwenlm.github.io/blog/qwen2.5-coder-family/

Each size provides both Base and Instruct models. The Instruct model engages in direct dialogue. The Base model serves as a foundational model for developers to fine-tune.

Github: https://github.com/QwenLM/Qwen2.5-Coder

Huggingface: https://huggingface.co/collections/Qwen/qwen25-coder-66eaa22e6f99801bf65b0c2f
Additionally, it provides two scenarios, code assistants and Artifacts, for exploration.

Code Assistants: https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-demo
Artifacts: https://huggingface.co/spaces/Qwen/Qwen2.5-Coder-Artifacts