In this deep dive, we walk through the design of a standalone verification engine, analyze the exact mechanics of cryptographic and replay defense, and explore an unexpected infrastructural failure caused by Python's PEP 668 (externally-managed-environment) when dynamic provisioning goes wrong. The…
In 1999, two engineers named Andy Stanford-Clark and Arlen Nipper faced a brutal engineering problem: They needed to monitor crude oil pipelines stretching across hundreds of miles of remote desert in the American Southwest. The only communication channel available was fragile,…
QCon AI Boston (July 8-9, 2027): Agents. Context. Evals. Security. See how other teams make decisions. Register Now Agentic LLM systems have moved from linear prompt chains to graph-based workflows and, more recently, code-executing harnesses. Chains are simple but fragile, graphs add…
After reading the shocking record of cost reduction by AWS engineers, Prime Video cut costs 90% by deleting its serverless architecture. Then the post vanished., I was prompted to think about what constitutes the "correct answer" in modern system design, so…
An HTTP API with API Gateway is, for me, the moment a Lambda function turns into a real service for the first time. In part 1 you still called your function with aws lambda invoke. That is great for learning, but…
Search traffic for LLM access controls and monitoring is mostly implementation intent. The people arriving are not asking what an agent is. They are asking where the check goes, what it checks, and what gets logged. This article answers that…
You deploy a Go service that handles 200 req/s in staging just fine. In production, latency climbs after six hours, memory keeps growing, and you have no idea which goroutine is the culprit. Go's built-in profiling toolchain can answer this…
In the previous article, I described my first move: observability-first. Now the journey has reached the agent loop. My objective with this article is to highlight 5 high-value ground rules that came out of my reliability-first approach and are usually missed…
Nanbeige4.3-33B is Nanbeige’s 33B flagship teacher model for the Nanbeige4.3 series, intended for complex coding, tool-using agents, and professional cowork tasks. The model card reports benchmark results across agentic coding, cowork, and reasoning tasks; these are vendor-reported evaluations, not a guarantee of performance…
It sounds like a small detail, but it was made for a very specific job: letting many workers take tasks from the same table without blocking each other. Oracle used it internally for its own message queues as early as…
System design, microservices vs monoliths, event-driven architectures, DDD, and resilient patterns.
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