The Go programming language — idioms, patterns, and production usage.
Go context.Context: constructors, cancellation, deadlines, request values, and five goroutine leak patterns in production.
2,500 API endpoints in one MCP server without blowing context windows. The Code Mode pattern uses search + execute to cut token cost by 1,000x.
Adding one cache server shouldn't invalidate every key. Consistent hashing with virtual nodes and bounded loads — full Go and Java implementations.
Probabilistic drop rate limiting: uncoordinated enforcement bypassing Redis for 1M+ RPS with zero coordination overhead.
Handle unpredictable JSON in Go: map[string]any, json.RawMessage, type switches, and defensive patterns for shifting schemas.
Go graceful shutdown: SIGTERM handling, health probe coordination, and Kubernetes drain patterns for zero dropped requests.
Why exactly-once is a myth, and how idempotency keys, database constraints, and the outbox pattern make retries safe in Go and Java.
Production LLM API patterns: streaming, function calling, retries, token budgets, cost optimization, and observability for backend engineers.
Build RAG systems that work in production: chunking strategies, embedding selection, pgvector ops, and retrieval quality evaluation.
Go error handling: sentinel errors, wrapping, errors.Is/As, custom types, and production patterns that prevent silent failures.