Core Concepts

Understanding the architecture behind Spark CLI helps you get the most out of the knowledge network. These pages explain how queries are matched, how privacy is enforced, and why the system improves with every interaction.

Concepts

• Knowledge Network — How solutions are aggregated, scored, and ranked by production wins across the developer community.
• Semantic Tags — The tag system that gives Spark precise context about your stack, so recommendations match your exact environment.
• Privacy Model — Technical details on what data leaves your machine, how authentication works, and how local credentials are secured.
• How Recommendations Work — How Spark scores, ranks, and serves recommendations, and the research benchmarks behind the quality claims.