Topic: agent orchestration

Siddhant Pardeshi describes autonomous software-development systems that combine knowledge graphs and vector search to navigate large repositories. The conversation examines context engineering, agent orchestration, model-specific prompting and persistent feedback. It also considers how evaluation should reflect security, maintainability and acceptance of the resulting software.

Robin Braun and Luke Norris discuss agent orchestration for enterprise and municipal workflows. Examples include website accessibility, interpreting deed restrictions and combining contextual data with camera feeds for fire-risk assessment. The conversation examines data freshness, private infrastructure, privacy, cost and incremental deployment.