OPEN LINK ↗
// 45d 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
45d ago
2026-04-27
PUBLISHED
45d ago
2026-04-27
RELEVANCE
8/ 10
AUTHOR
dreamai87