📄️ Why TeaQL Rust?
Discover the multi-persona value proposition of TeaQL Rust, from architecture and compliance to AI coding and SRE debugging.
📄️ Topic 1: Architecture & Compliance
An in-depth look at how TeaQL builds an enterprise-grade security foundation through UserContext, Row-Level Security (RLS), and non-repudiable audit trails.
📄️ Topic 2: AI-Driven Development
Analyze why TeaQL is the most suitable Rust data framework for AI agents (like Cursor/Copilot) to automatically generate business code.
📄️ Topic 3: Code Review & Business Intent
Discuss how TeaQL significantly reduces the cognitive load of Code Review through "Graph Save" and "Intent Propagation".
📄️ Topic 4: SRE & Observability
Learn how TeaQL provides sub-second debugging for production troubleshooting through UnifiedLogBuffer and Trace Chains.
📄️ Topic 5: Data Ops & Analytics
Discover how TeaQL breaks the boundary between OLTP and data, paving the way for real-time analytics through schema governance, facet aggregation, and CDC interfaces.
📄️ Topic 6: AI Governance & Audit
An in-depth look at how TeaQL builds the world's first full-chain auditable runtime tailored for AI Agents through compiler-level physical isolation, zero-cost semantic annotations, and closed-audit configurations.