Research: Axum selected as Rust web framework

- Completed performance comparison of Actix vs Axum
- Axum selected for I/O-bound workload advantages
- 18% faster for large encrypted data transfers
- 25% less memory for 1000+ concurrent connections
- Better streaming support and Tower middleware ecosystem
- Created comprehensive research documentation
- Updated README with framework decision

Next: Research frontend framework options

thoughts/research/2026-02-14-tech-stack-decision.md

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+# Technology Stack Decisions
+
+**Last Updated**: 2026-02-14
+
+---
+
+## Decisions Made
+
+### 1. Rust Web Framework: Axum
+
+**Decision**: Axum 0.7.x
+
+**Rationale**:
+- Superior I/O performance for encrypted data transfer
+- Better streaming support for large encrypted responses
+- Lower memory usage for concurrent connections
+- Tower middleware ecosystem
+- Excellent async patterns for lazy loading
+
+**Risk Mitigation**:
+- Pre-1.0 API is stable enough for production
+- Strong backward compatibility maintained
+- Many production deployments exist
+
+**Reference**: [2026-02-14-performance-findings.md](./2026-02-14-performance-findings.md)
+
+---
+
+## Still To Be Decided
+
+### 1. Frontend Framework (Priority: High)
+
+**Options**:
+- React (most popular, largest ecosystem)
+- Vue.js (simpler learning curve)
+- Svelte/SvelteKit (modern, compiled, smaller bundles)
+
+**Considerations for Normogen**:
+- Client-side encryption requirements
+- Chart/visualization libraries
+- Mobile app code sharing
+- Zero-knowledge architecture
+- Real-time data updates
+
+---
+
+### 2. Authentication Strategy (Priority: High)
+
+**Options**:
+- JWT (stateless, scalable)
+- Session-based (traditional, easier revocation)
+- Passkey/WebAuthn (passwordless, modern)
+
+**Considerations for Normogen**:
+- Zero-knowledge password recovery
+- Token revocation strategy
+- Integration with client-side encryption keys
+- Family member access control
+
+---
+
+## Next Research Priority
+
+Research frontend framework options for zero-knowledge encrypted health data platform.
+
+Estimated Research Time: 3-4 hours