Topic
Multi Model Routing
2 episodes
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The Complete Guide to Tool Selection in AI Agents MachineLearningMastery
Onyx and Echo dig into a guide on tool selection in AI agents and land on the real argument underneath it: once your tool catalog grows, selection quality becomes an architecture problem, not a model problem. They like the article’s practical stack — gating, retrieval, routing, planning, fallback, benchmark harness — but poke at where it overstates simple heuristics and where retrieval actually earns the claim with numbers from RAG-MCP.
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Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks
GitHub Copilot's agentic harness is a single cross-experience SDK component that orchestrates tools, context, and workflow across CLI, app, and code review. The team claims it delivers task-resolution parity with model-vendor harnesses while cutting token usage across several configurations, backed by public and internal benchmarks and real-world metrics. We debate technical validity, practical stakes for teams, and whether the harness should get most of the credit.