Topic: context engineering

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.

Alexandre Pesant discusses the capabilities and limits of coding agents and development through natural-language intent. Topics include context engineering, changes between workflow-based and agentic architectures, scaling challenges, evaluations and interface design. The conversation examines how model improvements influence practical software-development tools.