Systems | Development | Analytics | API | Testing

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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Digital Twins for Devs & AI Agents - Record, Replay & Catch Regressions | Keploy

Jun 25, 2026 By Keploy In Keploy
Give your developers — and your AI agents — a digital twin of your live environment. Keploy records real traffic from your live services (no production access, nothing to spin up) and replays it as a faithful twin, so you can continuously verify behavior and catch regressions before they ship. In this demo: record a live service, turn that traffic into integration tests and mocks automatically, replay everything against digital-twin sandboxes, and wire it into CI for continuous verification.
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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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Get Started With LLM Proxy in WSO2 API Platform AI Gateway

Jun 25, 2026 By WSO2 In WSO2
Run your first LLM proxy on WSO2 Platform AI Gateway in minutes — no cloud setup required, just Docker. This quickstart walks you through spinning up the WSO2 Platform AI Gateway as a standalone component on your own infrastructure. You'll add an OpenAI provider configuration (including API key auth and access control rules), deploy an LLM proxy that routes through it, and verify live responses end to end. What you'll set up.
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