Operations | Monitoring | ITSM | DevOps | Cloud

AI-Powered Quality Control Is Changing Sustainability Reporting in Construction

AI-Powered Quality Control Is Changing Sustainability Reporting in Construction

May 27, 2026 By OpsMatters In OpsMatters
Sustainability reporting is becoming a critical requirement across the construction industry as regulators, developers, and procurement teams demand more accurate environmental data from manufacturers. Environmental Product Declarations (EPDs), once considered optional documentation, are increasingly being used as a deciding factor in major construction tenders and compliance evaluations.
Read Post
redgate

Your developers are using AI agents, your data exposure just multiplied

May 26, 2026 By Saskia Parks In Redgate
Your developers are already using AI agents. GitHub Copilot, Cursor, Claude Code. Not just for autocomplete, but to generate features, run test suites, and iterate across branches. Each agent needs a database to work against. And in most organizations, nobody has checked what's actually in that database, or whether it should be there.
Read Post
gitkraken

Preview launch: the Agent Impact Leaderboard and the Business Impact & ROI Dashboard

May 26, 2026 By Jeff Schinella In GitKraken
The Agent Impact Leaderboard and the Business Impact & ROI Dashboard are live in preview inside GitKraken Insights today. We built them because the questions engineering leaders are getting asked about AI shifted faster than the tools to answer them. Here’s what shipped and how to get access.
Read Post
sentry

Your agent can't fix what it can't see

May 26, 2026 By Sergiy Dybskiy In Sentry
Agents are getting better and better at fixing bugs. They’re even getting better at testing their work, thanks to headless browsers, sandboxes, simulators, etc. But what about the bugs that only show up once you bring in different browsers, languages, extensions, internet speeds, and all the other variables that get mixed in the second you ship to prod? Or all the bugs that only show up when you account for… well, humans being humans and doing weird stuff you didn’t expect them to do?
Read Post
datadog

Measure the real impact of AI coding tools on software delivery with Datadog AI Impact

May 26, 2026 By Datadog In Datadog
Engineering teams have rapidly adopted AI coding tools, but organizations still struggle to understand their impact. Existing dashboards focus on activity, such as daily active users, acceptance rates, or lines of generated code, but these metrics don’t answer a more important question: Are teams actually shipping more, faster, and with fewer issues?
Read Post
circleci

Run your first microbuild in 5 minutes

May 26, 2026 By Roger Winter In CircleCI
AI coding agents produce code faster than most teams can validate it. Without a validation step between the agent and CI, every problem gets caught after the push, and feedback arrives long after the agent has lost context. Agents need consistent feedback while they’re working so that small failures get fixed locally and CI stays focused on moving code into production.
Read Post
ScienceLogic

Building a Defensible AI Compliance Framework

May 26, 2026 By ScienceLogic In ScienceLogic
Organizations have moved past theoretical conversations about AI adoption. Models, agents, and autonomous workflows are entering production environments. Business leaders are optimistic about potential gains in efficiency, decision support, and operational scale. Yet beneath this momentum, compliance and risk teams feel a different pressure.
Read Post

AI Might Break Open Source Differently Than You Think

May 26, 2026 By Harness In Harness
AI coding agents may not replace open source libraries overnight. But Adam Arellano, Field CTO at Harness, thinks models like Mythos could expose a bigger problem: finding bugs, vulnerabilities, and edge cases faster than maintainers can keep up. That might be the real threat to tools and libraries.
View Video

Ameet Talwalkar on Building the AI Research Lab

May 26, 2026 By Datadog In Datadog
"We're doing cutting-edge AI, focused on real translational impact: getting our research over the wall and into production." Ameet Talwalkar, Datadog's Chief Scientist, shares what it took to build the AI Research Lab from the ground up — and what makes DAIR different from traditional research teams. At Datadog, research ships. Recent work from the lab includes Toto 2.0, open-weights time series forecasting models ranked on leading benchmarks, and ARFBench, a new benchmark for evaluating AI on real incident data.
View Video
How Online Plant Identification Tools Work

How Online Plant Identification Tools Work

May 26, 2026 By OpsMatters In OpsMatters
Online plant identification tools work in a simple way: a user uploads a photo of a plant, the tool analyzes visible features such as leaves, stems, flowers, shape, color, and growth pattern, then compares those features with a plant database. After that, it shows the most common name and, in many cases, adds basic care recommendations.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.