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Why AI Evaluation Is Becoming a Business Priority, Not Just a Technical Task

Why AI Evaluation Is Becoming a Business Priority, Not Just a Technical Task

Jun 4, 2026 By OpsMatters In OpsMatters
Artificial intelligence products are evolving at a pace that challenges traditional quality assurance and validation processes. As organizations race to release new AI-powered features, many product teams face the same question: how do they know a system is ready for real-world use? As reported by AI Journal, conversations with product leaders across different sectors reveal a growing focus on AI evaluation as a critical part of product development. Their experiences highlight the challenges of balancing innovation, risk management, customer expectations, and future regulatory requirements.
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upsun

How to ship a POC in an afternoon: a Claude Code and Upsun walkthrough for product and product marketing

Jun 3, 2026 By Upsun In Upsun
I have an Upsun project that's nothing but proofs of concept. It's a dashboard, basically. Each POC gets its own tile. Click in, and you land on a page with three tabs. The first tab is a written explanation of what the POC argues. The second tab is the POC itself, with a built-in demo that automates a walkthrough of the feature so the recipient can watch it run without me on the call.
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pagerduty

Scribe Agent updates: no more manual note-taking or lost context

Jun 3, 2026 By Débora Cambé In PagerDuty
This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty Advance Scribe Agent updates (Generally Available) build towards this vision. When a major operational issue hits, there’s always someone drawing the short straw to take on the most thankless job in incident response: scribing the call. Chances are you were already that someone.
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selector

What Enterprise AI Gets Wrong About Usage

Jun 3, 2026 By Dallon Robinette In Selector
AI is moving out of the experimental phase and into the everyday rhythm of work. Teams are no longer using it occasionally for novelty or quick wins, but instead are exploring more robust use cases to investigate issues, answer questions faster, surface context, and help them move through complex workflows with more confidence. That’s the shift that most organizations’ leadership teams have been asking for.
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Running AI at Enterprise Scale w/ Anthropic, Descope, Port, Rootly and Twingate

Jun 3, 2026 By Rootly In Rootly
The debate about whether AI can write production code is over. Companies are handing work to fleets of agents, and for many, they write most of the code that ships to production. The next challenge is everything that happens once an entire engineering organization runs this way, at full speed. Teams that generate code 10x faster still review it at human speed, and that mismatch is now the constraint. Code ownership is also becoming an issue, as developers learn to trust agentic processes a little too much. When an agent breaks production, who is responsible?
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AI Dev Tools: What 100K Engineers at Google Really Taught Us

Jun 3, 2026 By GitKraken In GitKraken
AI developer productivity, agentic workflows, and the lessons learned running engineering tools for 100,000+ software engineers at Google. John Montgomery, CCO at GitKraken, sits down with Asim Hussain, co-founder of Alterion AI and former Google VP of Engineering Productivity, to get real about what AI actually changes for engineering teams in 2025.
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Autonomous Error Remediation in Cursor with Lightrun MCP

Jun 3, 2026 By Lightrun In Lightrun
Lightrun's Gidi Freud demonstrates how your AI coding agent can now investigate and fix production errors, autonomously. Watch how Cursor, guided by Lightrun's Error Remediation skill, picks up a Sentry error, instruments the live service with a runtime snapshot, captures real evidence, and opens a validated PR for approval.
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civo

21 AI concepts every beginner should know before their first interview

Jun 3, 2026 By Jubril Oyetunji In Civo
If you’re prepping for your first AI or MLOps interview, the hardest part usually isn’t always the hands-on element. For me, it’s the vocabulary. Interviewers sometimes lob single-word concepts at you (“what’s quantization?”) and watch how far you can carry the thread. The questions sound clear-cut, but each one is really a doorway into a bigger topic, and the interviewer is judging how cleanly you walk through it.
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cloudzero

CloudZero AI Hub: The nexus of autonomous AI cost control

Jun 3, 2026 By Thomas Evans In CloudZero
CloudZero originated as a way to make sense of your cloud costs. Costs spread across bills with billions of line items belonging to resources that might or might not have been tagged (or taggable), spun up by engineers working across teams, on different microservices, features, and products, that served a wide range of customers. Kubernetes. Multi-cloud. Check, check, check.
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cloudzero

AI ROI: How to measure and provide the return on AI investments in 2026

Jun 3, 2026 By Lyne Carolyne In CloudZero
Every quarter, the same scene plays out in boardrooms across the Fortune 500. The CEO asks: “What is the return on everything the company is spending on AI?” The CTO talks about productivity gains and developer velocity. The CFO points at a cloud bill that doubled but cannot isolate which line items are AI. The board nods politely and tables the discussion until next quarter, when the same question will produce the same non-answer. (If this sounds familiar, you are not alone. Keep reading.)
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