📅 Recorded: February 6, 2026

In this episode of Domesticating AI, we discuss why scaling AI systems with more compute often hides weak engineering decisions — especially in agent workflows. We explore constrained hardware, context management, tool calling, logit manipulation, and why small models can make you a better AI engineer.

Moltbot / Clawdbot overview (The Verge)
https://www.theverge.com/report/869004/moltbot-clawdbot-local-ai-agent
Fake Moltbot VS Code extension spreading malware
https://thehackernews.com/2026/01/fake-moltbot-ai-coding-assistant-on-vs.html
Exposed Moltbot admin panels and credential leaks
https://www.bitdefender.com/en-us/blog/hotforsecurity/moltbot-security-alert-exposed-clawdbot-control-panels-risk-credential-leaks-and-account-takeovers
Cloudflare Moltworker (self-hosted agent on Workers)
https://blog.cloudflare.com/moltworker-self-hosted-ai-agent/

LangGraph – https://www.langchain.com/langgraph
LangChain – https://www.langchain.com/
Langfuse – https://langfuse.com/
Pydantic AI – https://github.com/pydantic/pydantic-ai
Instructor – https://github.com/jxnl/instructor
Hugging Face SmolAgents – https://huggingface.co/blog/smolagents

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