Vyron

For people who keep asking what to build as a Backend Engineer in the AI Era. ➣ Build your own AI Gateway (semantic caching + token budgeting + provider fallback chains) ➣ Build your own Durable Workflow Engine (state checkpointing + saga patterns + human-in-the-loop pauses) ➣ Build your own PII Redaction Proxy (UUID masking + deterministic encryption + post-generation unmasking) ➣ Build your own Hybrid Search Engine (pgvector + BM25 + cross-encoder reranking + row-level security) ➣ Build your own Streaming SSE Proxy (token chunking + backpressure handling + TTFT/ITL metric emission) ➣ Build your own Token-Aware Rate Limiter (Redis sliding window + prompt complexity scoring + per-tenant quotas) ➣ Build your own Webhook Reconciliation Engine (idempotency keys + dead-letter queues + automated replay tooling) ➣ Build your own Event-Sourced Trajectory Store (immutable agent logs + time-travel debugging + state replay) ➣ Build your own Inter-Agent Auth Broker (delegated OAuth flows + scoped JWTs + least-privilege tool access) ➣ Build your own Cost Kill-Switch Middleware (spend projection + circuit breakers + graceful degradation chains) ➣ Build your own Shadow Traffic Router (5% async mirroring + trajectory diffing + silent cost comparison) ➣ Build your own Queue-Based GPU Autoscaler (queue depth tracking + spot instance provisioning + drain logic) ➣ Build your own LLM Tracing Pipeline (OpenTelemetry spans + token counting + correlated DB query logs) ➣ Build your own Edge Fallback API (cloud 503 detection + local model routing + offline request queuing) ➣ Build your own Ephemeral AI Provisioner (Terraform scripts + isolated vector DBs + per-PR test environments) Pick 3. Build them from scratch. Document every decision. Most people write CRUD APIs. Builders architect the nervous system for autonomous agents. Bookmark this. You'll need it.