REDDIT · REDDIT// 4h agoBENCHMARK RESULT

Qwen3.6-35B Builds AutoML Pipeline in One Shot

A Reddit user says Qwen3.6-35B-A3B, run through a PI coding agent and llama.cpp, spun up an AutoML pipeline repo and verified it with unit tests and examples in a single session. The post reads like another strong anecdote for Qwen’s open-weight coding ability in a local stack.

// ANALYSIS

This is a useful real-world agentic coding signal, not just a cherry-picked completion demo: the model was asked to scaffold a repo and keep the software working end to end.

–The strongest part of the claim is execution breadth: repo creation, tests, and example code all landed in one run
–llama.cpp support matters because it keeps the experiment in the local/self-hosted lane instead of relying on hosted APIs
–PI coding agent looks like a credible harness for measuring whether a model can sustain multi-step coding work, not just answer prompts
–The result is still anecdotal, so it is more signal than benchmark; there’s no controlled comparison against other models here
–Even so, it reinforces the emerging pattern that Qwen’s newer open-weight models are competitive on agentic coding tasks

// TAGS

qwen3.6-35b-a3bllmai-codingagentautomationtestingopen-source

DISCOVERED

4h ago

2026-04-27

PUBLISHED

4h ago

2026-04-27

RELEVANCE

8/ 10

AUTHOR

dreamai87