Cool, use Byte's Trae AI programming tool to interpret OpenAI's swarm core code and unlock hidden skills

After installing the domestic version of Trae, I found it is not as intuitive as Cursor, so I have never used it much. Today I remembered to update it to version 0.3.7. In addition to supporting the update of DeepSeek V3, I can also add models by myself, but it seems that there is nothing else to see:

I opened the OpenAI Swarm project in Trae before, so I clicked "reference", selected Swarm's core.py file, typed "interpretation", and was surprised by the output. Obviously, Trae is carefully designed for the output of the code interpretation function:

The interpretation of this nearly 300-line Python code is divided into four parts : core module structure, core process logic , key technical mechanism, and performance critical path. It should be output according to a certain format template. Some analysis results may be called from external tools.

The output format of the first part should be conceivable. It is not a big deal as it has a dedicated syntax tree index.

The second part is the core logic, which is the judgment of the big model and which function is the core.

The key technical mechanism in the third part is quite interesting, reflecting the model's professional ability in programming

For the final performance analysis, I would guess whether it was done with the help of external tools. If it was a large model directly output, I would suspect that it was an illusion.