Posted inAI AWS Day 15: Cost Curves: Input Tokens Dominate Input tokens dominate cost curves — caching, draft models, and per-PR budgets engineers can actually see.
Posted inAI AWS System Design Day 40: Project: On-Call Copilot That Cannot Mutate Prod Build a read-only on-call copilot: runbook RAG, suggest-only patches, dual control before any prod mutation.
Posted inAI AWS Day 14: Guardrails Before Clever Prompts Install guardrails before clever prompts — Bedrock Guardrails, allowlists, and injection tests on ticket text.
Posted inAI AWS System Design Day 39: Observability: Traces Across Prompt, Retrieval, Tools OpenTelemetry spans across prompt build, retrieval, model, and tools so a human can replay an agent failure without guessing.
Posted inAI AWS System Design Day 13: Memory: Scratchpad, Session, and Long-Term Stores Scratchpad, session, and long-term memory belong in different stores — stop stuffing DynamoDB into the prompt by default.
Posted inAI System Design Day 12: ReAct vs Plan-Then-Act vs Compiler Agents ReAct loops, plan-then-act, and compiler-style agents each spend tokens differently — cap iterations before they burn your budget.
Posted inAI AWS System Design Day 38: Multi-Region Model Failover Survive a regional Bedrock outage without a broken UX or a split-brain vector index — health checks, sticky sessions, and index strategy.
Posted inAI AWS Day 37: Provisioned Throughput vs On-Demand Cliffs Avoid Sev-1 Bedrock throttles by partitioning interactive vs batch capacity and pre-warming provisioned throughput for incident copilots.
Posted inAI AWS System Design Day 11: Tool Use as an API, Not a Prompt Trick Treat tool use as a versioned API: OpenAPI schemas, idempotency keys, timeouts, and typed errors — not prompt poetry.
Posted inAI AWS Day 36: VPC Endpoints and Secret Hygiene for AI Private Bedrock via VPC endpoints, Secrets Manager rotation agents respect, and zero API keys in prompts or logs.