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ably

Your Vercel AI SDK app is missing a session layer

Jun 25, 2026 By Andrii Bulat In Ably
If you have built an AI chat feature with the Vercel AI SDK, you have used its useChat hook. You give it your messages, and it streams the reply into your UI. You may have seen our post on the custom transport we built for the Vercel AI SDK. It swaps useChat's default transport for Ably AI Transport, adding resumable streams, cross-device and multi-user sync, conversation branching, history compaction, and stop-and-approve controls.
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nodesource

Debug a Node.js Memory Leak in Minutes with AI-Powered Heap Snapshot Analysis

Jun 25, 2026 By Estefany Aguilar In NodeSource
Memory leaks are among the most frustrating production issues to investigate. At first, everything looks normal. Requests are processed successfully, users aren't reporting problems, and the application appears healthy. Then memory usage starts climbing. Garbage collection runs more frequently. Performance degrades. Eventually, the process becomes unstable or crashes altogether. Detecting a memory leak isn’t even half the battle.
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Agent development and AgentOps with BigQuery, ADK, and MCP

Jun 25, 2026 By Google Cloud Tech In Google BigQuery
Join this session to learn about Agent Development Kit (ADK) and Model Context Protocol (MCP) integration methods that standardize how agents connect to your data while removing the need to build custom database connectors from scratch. Discover how to build agents with the ADK that accesses BigQuery for analysis, Google Maps for geospatial insights, and AlloyDB for transactions – all in a single workflow. Learn how to implement agent operations (AgentOps) for deep observability into both agent performance and cost with a single line of code.
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octoperf

OctoPerf MCP Server, Fully On-Premise: AI Load Testing With a Local LLM

Jun 25, 2026 By Gerald Pereira In OctoPerf
But a recurring question came from banks, hospitals, defense and public-sector teams: what if nothing is allowed to leave our network, not even the prompt? This article answers that question with a full walkthrough.. We will stand up a 100% on-premise, air-gapped stack, and it only takes two things to install: OctoPerf Enterprise in Docker, and a local Qwen3 large language model running in LM Studio, which doubles as the Model Context Protocol client.
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databox

New: Trusted data for the people and the AI making decisions on it

Jun 25, 2026 By Monise Branca In Databox
Ask three people in your company to pull the number of active customers this month, and you’ll probably get three different answers, even though each person labeled the metric the same way. One counts everyone who logged in, another counts only paying users, and a third filters down to a single plan tier. Nobody is wrong here. They’re all working from real data; they just never agreed on a single definition. Do that enough times, and the data itself becomes the thing everyone argues about.
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Build resilient end-to-end tests with AI agents in SmartBear Reflect | Demo Den

Jun 25, 2026 By SmartBear In SmartBear
See how SmartBear Reflect uses agentic AI to build end-to-end tests in minutes and keep them resilient as your application changes. In under 20 minutes, Reflect co-creator, and SmartBear Director of Product Management, Todd McNeil walks through live test creation across web and mobile, with zero fluff.
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ClearML

Inference Is the New Bottleneck: How to Plan GPU Capacity for Production AI

Jun 25, 2026 By Adam Wolf In ClearML
Most enterprises sized their AI infrastructure with a playbook written for training. However, training is no longer the typical workload. Inference now eats up roughly two-thirds of all AI compute, and it is changing shape fast enough that the rules of thumb from 18 months ago just do not hold. Our view at ClearML is pretty simple: when the workload shifts this much, the platform underneath it has to shift with it.
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multiplayer

How to curate observability data for AI agents

Jun 25, 2026 By Multiplayer In Multiplayer
Most debugging agents fail not because the model is wrong, but because the data going in is not ready for machine consumption. Here's what data curation actually looks like in practice. When we started building Multiplayer's debugging agent, we made the same mistake almost everyone makes. We gave our coding agent access to observability data and expected it to figure out what was relevant. It didn't.
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bugraptors

From Scripts to Systems: Why Enterprises Are Transitioning to Autonomous Testing

Jun 25, 2026 By Prateek Goel In BugRaptors
Every enterprise engineering leader knows the frustration of a stalled delivery pipeline. You push a minor user interface optimization or rename a single CSS utility class, and suddenly, a stable deployment build turns red. Hundreds of automated test scripts break instantly, not because the application logic failed, but because a static element locator changed. This is the reality of modern software delivery.
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