16+ hour, 4+ min ago  (343+ words) Lang Chain's deepagents have a solution with three components that work together: By the end of this article, you will learn how to create a working personal assistant remembering your preferences, provides feedback across sessions, has per-user isolation, and a…...

16+ hour, 4+ min ago  (716+ words) Most systems describe updates from the outside, where a client sends data, the backend receives it, and the system applies the changes. From that perspective, an update appears simple and almost mechanical. But from inside the system, the situation looks…...

16+ hour, 4+ min ago  (466+ words) Manual annotation is a massive bottleneck for multimodal inference systems in high-velocity production environments. If you want to survive catastrophic distribution shifts, you have to automate your labeling pipeline. I want to walk through a pseudo-labeling architecture we built that…...

16+ hour, 4+ min ago  (1348+ words) Last March, our VP of Engineering asked me a deceptively simple question during our quarterly review: "How much CO2 does our AI platform emit?" I had no idea. We'd been obsessing over token costs " tracking every cent spent on Open AI…...

16+ hour, 4+ min ago  (1485+ words) Generating sequential numeric IDs sounds like one of those problems that should have been solved decades ago. And in a monolithic application, it mostly was. You create a database sequence, use an auto-increment column, and move on. Every new record…...

16+ hour, 4+ min ago  (607+ words) Engineering leaders, QA architects, platform teams, Dev Ops engineers, AI product owners, and reliability teams must adopt a dual testing strategy: rigorous software testing alongside continuous probabilistic evaluation of AI behavior. Production readiness depends on integrating both disciplines into a…...

16+ hour, 4+ min ago  (246+ words) Real-time AI inference has become a fundamental feature of modern applications and has been used to drive applications in conversational agents, recommendation engines, fraud detection, and computer vision pipelines." In contrast to batch workloads, real-time inference requires stable, low-latency, predictable…...

16+ hour, 4+ min ago  (716+ words) This is Part 2 of a two-part series on building a Slack bot that answers natural language questions about a Git Hub repository using AWS Bedrock (Claude) and Git Hub's official Model Context Protocol (MCP) server. This article covers the implementation…...

16+ hour, 4+ min ago  (395+ words) (Note: A list of links for all articles in this series can be found at the conclusion of this article.) That friction is now removable. The Model Context Protocol (MCP) brings a standardized, AI-agent-ready interface to compliance tooling " and compliance-trestle-mcp,…...

1+ day, 16+ hour ago  (843+ words) AI has already moved beyond text generation. Modern agents can browse the internet, read documents, call APIs, query databases, and coordinate numerous actions between tools and services. They are expected to do more than simply provide a single nebulous answer....