Agentic design patterns list
Two high‑traction posts collected 15 system‑design case studies and 15 agentic patterns—circuit breakers, semantic caching, and observability tracing—aimed at reliable AI production systems shared, outlined. The playbook centers on predictable degradation, explicit rate control, and richer telemetry for agentic workloads.
Neo Kim’s “master system design” thread names concrete production case studies — including Tinder handling 1.6 billion swipes per day, Cloudflare’s 55 million requests-per-second run (backed by 15 Postgres clusters), and Uber’s nearby-drivers flow at ~1M requests/sec — all listed on his Substack compilation. (substack.com) Ashutosh Maheshwari (asmah2107) framed agent orchestration around visibility and control, writing that “the magic keyword is Observability” and asking engineers to measure “how many actions would execute before I could stop an agent,” a diagnostic that motivates explicit stop‑gates and instrumentation. (unrollnow.com) The short “15‑pattern” package in those high‑traction posts maps into larger community libraries: the Awesome Agentic Patterns GitHub project (3.6k stars) and the curated site agentic‑patterns.com document dozens to hundreds of field‑tested patterns for tool use, reliability, and orchestration. (github.com) Major vendor guidance now formalizes agent telemetry: OpenTelemetry’s AI‑agent blog and Microsoft’s multi‑agent observability docs promote tracing of model calls, tool usage, and agent actions as first‑class spans to diagnose multi‑step failures. (opentelemetry.io) The reliability techniques spotlighted in the threads echo established engineering primitives — circuit‑breaker style guards in cloud architecture and explicit throughput‑control mechanisms from networking research — which teams adapt to limit cascading agent actions and prevent runaway costs. (learn.microsoft.com) Cloud providers and platforms are shipping evaluation and observability toolkits for agents: AWS published an agent evaluation playbook for Bedrock users, and Hugging Face’s agent observability writeups outline metrics and logs to capture decision health across agent workflows. (aws.amazon.com)
