Agents Don’t Need More Compute — They Need Better Engineering

📅 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 Have a topic suggestion or want to sponsor the show? 📩 contact@domesticatingai.com