Operations | Monitoring | ITSM | DevOps | Cloud

The Future of Digital Experience in Companies: What Changes with DEX, AI, and the Employee at the Center

For decades, companies measured IT efficiency through technical indicators: servers up, systems online, equipment working. But does that actually mean a good experience for the people doing the work?

Improving MTTR with AIOps: Myth or Fact?

There was a version of daily life, not long ago, that ran entirely on physical effort. Booking a trip meant a visit to a travel agent. Ordering lunch meant walking to a restaurant or calling and hoping someone picked up. Buying something for the home meant a trip to the store and a checkout queue. Paying a bill meant visiting a bank branch and engaging with a teller. None of it was instant, and nobody expected it to be.

How Agentic AI speeds up troubleshooting application issues

One night, Daniel Rizzy was the only person awake on Zylker’s IT team, and the clock was already running. He was also the only thing standing between a P1 outage and 10,000 customers. Rizzy works nights for ZylkerXchange, Zylker’s foreign currency exchange app. He lives on the city’s outskirts, where the air is clean and quiet, and the night shift suited that life. Most nights, nothing happened. Some nights, everything did.

DevEx Talks ep 6 - Working Neurodivergent: What Helps, What Doesn't

In this episode, we explore neurodiversity in tech and beyond with guests Carl Alexander and Zach Stepek. They share firsthand experiences of what has helped them thrive as neurodivergent professionals and what has not. Together, they discuss the importance of community as a key factor in empowerment, growth, and long-term success for neurodivergent individuals in both work and life. PlayList Resources for Further Learning.

AI Agents Write Broken Code 49% of the Time #speedscale #AI #Coding #Tech #DevOps

AI agents write broken code nearly 50% of the time. By adding a traffic-based deterministic evaluation, Speedscale boosted unsupervised bug-fixing quality from 51% to 77% in just 5 minutes. This helped slash token costs and eliminate rework without human intervention. Learn more: speedscale.com.

Harness Agents

Today, we're launching Autonomous Worker Agents, AI agents that run as governed pipeline steps inside Harness. They inherit OPA policies, RBAC, audit trails, and scoped credentials from the first run. And because they live inside your Harness pipelines, they reason using the Harness Knowledge Graph: your services, deployments, incidents, and policies.

Reading the agent traces is how you make the call your eval can't

Remember being excited (or dreading, depending on the stage of your career and the company you worked at) about writing unit tests? Or sweating all the details in your end-to-end and integration tests you were sure covered all the use cases your users would hit? These days a lot of UIs are slowly being replaced by a single input field and an agent that promises to deliver the same value a UI would, but with the elegance and pun-ness of a “Jarvis”.