Share pi coding-agent sessions to Hugging Face dataset
Takeaway: Next time I'd start by pointing the agent at the exact dataset format I want (like synthtraces) instead of letting it guess a schema first.
Takeaway: Next time I'd start by pointing the agent at the exact dataset format I want (like synthtraces) instead of letting it guess a schema first.
Takeaway: Next time I'd ask for the environment sanitization (Conda vs .venv Torch conflicts) to be handled up front, since that same libtorch_python.so issue bit me twice, once during GGUF conversion and again during local_inference.py testing.
Takeaway: Next time I'd open with both asks together — what goes into the embedding and why there's a 100-project cap — since the agent had to dig through the same files twice.
Takeaway: I'd open with the Python version pinned upfront and the deployment target/SSH access sorted before asking for a push — the 3.14 bump and the SSH host-key/auth dance both cost real time that a clearer first prompt would've avoided.
Takeaway: Next time I'd start by asking for the HF-native agent-traces format directly instead of discovering the hard way that Cursor's raw JSONL isn't supported by the viewer — that caused a full re-upload of all 14 conversations.