Systems | Development | Analytics | API | Testing

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.
Read Post
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.
Read Post
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.
Read Post
ably

Agentic apps that go beyond chat

Jun 24, 2026 By Andrii Bulat In Ably
You are planning a trip with an AI assistant on your laptop. You are chatting with the agent, and as you progress it is dropping pins on a map, building a day-by-day itinerary, adding up a budget, and streaming its reasoning as it goes. The state of your interactive session is a combination of the chat history, the synthetic UI constructed by the agent during that process, and structured state, the itinerary, arising from the decisions you each make.
Read Post
thoughtspot

How Booking.com Scaled Agentic Analytics for Self-Service

Jun 24, 2026 By Lindsay Lukens In ThoughtSpot
At Snowflake Summit '26, Chris de Groot, Manager of Data Engineering Customer Service, and Jay Stricks, Group Product Manager, Insights Platform, took the stage to share Booking.com's massive data transformation. In their session, "Booking.com's Data Travels: Platform Foundations to Agentic Analytics," they laid out a masterclass on how to make a colossal, fragmented data landscape entirely AI-ready.
Read Post
kong

Moving from Probabilistic Reasoning to Deterministic Execution

Jun 24, 2026 By Hugo Guerrero In Kong
Generative AI systems do not fail because models are weak. They fail because architectures are incomplete. Once organizations accept that prompts cannot guarantee reliability, a new challenge emerges: how to design systems that systematically convert successful AI behavior into repeatable, governable, and auditable workflows.
Read Post
yellowfin

How to Measure Embedded Analytics ROI for Busy End Users

Jun 24, 2026 By Hagop Panosian In Yellowfin
Most analytics programs fail the ROI test for one simple reason: they measure dashboard output, not workflow impact. A team can ship reports, charts, and alerts, yet still miss the real question: does the analytics change what busy people do next? That is the core issue for embedded analytics ROI. How do we measure whether embedded analytics actually delivers business value for busy end users, frontline teams, and executives?
Read Post

How Enterprise Teams Are Keeping Up With AI-Generated Code at Scale | Perforce 2026

Jun 24, 2026 By Perforce In Perforce
When AI Starts Shipping Code: Managing the Collision Between Human and AI-Generated Code AI agents don't wait for reviews. They generate code overnight, work across the same codebase in parallel, and produce more changes than any human team can realistically process — creating a new kind of bottleneck we call the Merge Wall. In this session, Perforce engineering leaders break down what happens when human and AI-generated code collide at scale — and how leading teams are building the visibility, governance, and coordination layers required to keep up.
View Video
bitrise

Latest Linux updates for June 2026

Jun 24, 2026 By Gabor Nadai In Bitrise
‍An outdated build environment can slow down your team, introduce security risks, and cause hard-to-debug issues. With our upgraded Linux stacks, you get a faster, more secure, and fully maintained build environment: so your team can focus on shipping great apps, rather than managing infrastructure. Ubuntu Noble 24.04 - Bitrise 2025 Edition is now available as a stable stack, bringing Noble Numbat as the default Ubuntu version to Bitrise.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.