Causal Reasoning Software with Causely’s Francis Cordon
The Causely MCP Server brings our Causal Reasoning Engine directly into the IDE so engineers can understand why incidents happen and apply the right fix at the right layer, whether that’s runtime, configuration, or code.
Causely now leverages Google’s Gemini models to enhance how users interact with its Causal Reasoning Engine.
Gemini’s ability to interpret natural language, generate structured code, and summarize technical context complements Causely’s deterministic causal inference engine, turning complex telemetry into clear and reliable insights.
Modern CTO Podcast's Joel Beasley sits down with Causely CEO Yotam Yemini to dive deep into the world of AI Site Reliability Engineering.