Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Why agentic AI development needs reliability guardrails

AI has massively accelerated code deployment. In fact, since the introduction of agentic coding, GitHub has seen exponential growth in PRs, commits, and new repos. What they originally predicted would require 10X capacity, they’re now estimating it’s going to require 30X capacity, and the biggest driver is agentic development. Companies across industries are building agentic pipelines to ship features faster than ever before. That acceleration isn’t without risk.

There's an npm-shaped hole in the AI tooling stack

I've had this same conversation with 60+ engineering teams in the last six months. A team adopts AI tooling. One developer figures out how to use it well, builds up a vault of skills, MCP configs, and slash commands that 10x their output. The rest of the team has whatever they can scavenge from a shared Notion doc.

When your agents hallucinate at 2 am, it is not a model problem

The first time an AI assistant suggests "restart the service" during a live incident and nobody on the bridge can tell whether that suggestion came from a current runbook, a stale wiki page, or thin air, you stop caring about model benchmarks. You start caring about what the agent actually knew, where that knowledge came from, and whether you can trust the chain of reasoning behind it.

The "Free" AI Tool That Will Ruin Your Code#speedscale #aiagents #aicoding #devops #softwareengineer

Relying on AI and interns to build custom traffic replay tools is a scalability nightmare that introduces security risks, brittle code, and massive maintenance costs...use Speedscale instead. Learn more: speedscale.com.

Action trails: The missing link between AI and human trust

When people talk about trusting AI, they usually focus on the interface. It summarizes and uses confident language with a level of clarity that feels reliable. But that’s all window dressing. None of it builds trust. Trust doesn’t come from what the AI says. A verifiable record of what the AI did makes it trustworthy.

Web API: your complete guide for custom integrations

Data is almost always scattered across too many tools. Usually, if you want to see it all in one place, you're stuck building messy pipelines or paying for a warehouse you don't really want. SquaredUp is a window into all those tools. It lets you see what’s happening across your entire stack in real time without moving any of the data. Think of it as a universal translator that lets your tools talk to each other so you can stop the manual digging and just see the big picture.

Custom Collapsible Boxes: Why Foldable Luxury Packaging Is Gaining Popularity Among Brands

In today's world of intense competition in the packaging industry, custom collapsible boxes have now started to emerge as the best investment for those brand owners who require premium packaging but do not want to face the complications associated with traditional hard packaging. The reason why this trend is gaining so much importance is because this transition does not depend on looks alone. It is based on actual business requirements.

How Engineering and Ops Teams Use OKRs to Connect Technical Work to Business Outcomes

Engineering and operations teams have a measurement problem that most other functions don't. The technical metrics are excellent. Deployment frequency is up. MTTR is down. Uptime is at 99.97%. The CI/CD pipeline is running cleanly and the on-call burden has been reduced by 30% since the team adopted a proper incident management process. By every internal measure, the team is performing well. And yet, in the quarterly business review, the conversation keeps returning to the same uncomfortable question: what did engineering actually deliver for the business this quarter?

How Exploitation Claims Are Expanding Against Digital Platforms

Exploitation on digital platforms often becomes visible through changes that do not look legal at first. A child in a St. Louis classroom may start avoiding friends, an Illinois parent may notice late-night panic after messages, or a California clinician may hear about headaches, poor sleep, and secrecy tied to an app. These patterns matter because claims are moving beyond single bad actors and looking at how platform design, reporting delays, and moderation gaps can keep children exposed.