Operations | Monitoring | ITSM | DevOps | Cloud

Why AI Coding Assistants Fail (And How to Fix Them)

Nov 3, 2025 By GitKraken In GitKraken
Why do developers stop using AI coding assistants? According to Carnegie Mellon research, the top reason is unhelpful suggestions. Tabnine's Principal Architect John Feeney explains how context transforms AI coding tools from generic to genuinely useful. Learn the 4 Cs framework for maximizing AI assistant value: Context (workspace indexing), Connection (repo integration), Coaching (rules-based guidance), and Customization (fine-tuning). Discover how Retrieval Augmented Generation (RAG) helps AI understand your codebase, not just open source patterns.
View Video
redgate

Building dbRosetta Using AI: Part 1 of Many

Nov 3, 2025 By Grant Fritchey In Redgate
Like many of you, over the last couple of years, I’ve been using AI, or, well, let’s just name it appropriately, Large Language Models (LLM), as a part of my job. I’ve also used it in my hobby. With it, I’ve generated snippets of code, tested data conversions, even built a small database for a presentation. However, to date, I haven’t tried doing everything through the LLM. Now, I’m going to.
Read Post
digitate

AI Agent for Proactive Problem Management: A Shift Toward a Ticketless Future

Nov 3, 2025 By Sayali Pagrut In Digitate
As organizations rely on increasingly complex IT infrastructures, incident management often turns into a constant cycle of alerts, escalations, and fixes. While reactive responses may keep operations running, they rarely address the deeper systemic issues that slowly erode performance. Recurring incidents, silent failures, and hidden patterns are usually symptoms of unresolved root causes that traditional approaches struggle to uncover.
Read Post
cloudzero

AI And Sustainability: Measuring The Impact Of The Generative AI Boom

Nov 3, 2025 By Rachel Whitener In CloudZero
Before 2022, Alex Hanna worked on Google’s Ethical AI team. Today, she’s the director of research at the Distributed AI Research Institute, a transition sparked by Google’s handling of a paper exposing AI’s growing environmental footprint. So, how bad is it, really? That depends on who you ask. Take Jesse Dodge, a senior research analyst at the Allen Institute for AI. Jesse told NPR that a single ChatGPT query can use as much electricity as keeping a light bulb on for 20 minutes.
Read Post
civo

The sovereignty of the builder: Lessons from Civo Navigate London 2025

Oct 31, 2025 By Emma Kinsey-Coates In Civo
Digital sovereignty isn’t won in policy papers. It’s earned in production. That was the challenge issued by Civo CEO Mark Boost and Board Director Kelsey Hightower at Civo Navigate London 2025. They argued that the cloud's real failure lies not with the providers, but with the customers who refused to change. Catch up on the full fireside chat below The power shift is underway, moving from large vendors back to the practitioner.
Read Post
harness

Streamline feature management with Harness MCP and Claude Code

Oct 31, 2025 By Austin Lai In Harness
Harness now supports the Model Context Protocol (MCP) for Feature Management and Experimentation (FME), enabling developers to interact with feature flags directly from AI-powered IDEs like Claude Code and Windsurf. The FME MCP tools make it easier to explore, understand, and manage feature flags through natural language, streamlining delivery and release workflows without leaving your development environment.
Read Post
iOPEX

What Does the Journey from Generative to Agentic AI Mean for Customer Experience?

Oct 30, 2025 By iOPEX Technologies , In iOPEX
Today, generative AI has transformed customer experience (CX) from scripted exchanges to dynamic conversations at scale. And nearly every enterprise is feeling its immediate impact. But as your peers rush to deploy chatbots and automate responses, leaders face a blunt reality: the real race is only just beginning. Generative models are powerful, but fundamentally limited. They can personalize dialogue, but not execute decisions. They react to customer needs, but cannot act on them.
Read Post
pagerduty

We Built an SRE Agent With Memory And It's Transforming Incident Response

Oct 30, 2025 By Julia Nasser In PagerDuty
If you feel like your incidents are multiplying while your stack gets more complex by the week, you’re not alone. Event volumes keep climbing, signals live in a dozen tools, and human responders are stretched thin. That’s exactly why we built the PagerDuty SRE Agent—a vendor‑agnostic AI teammate that improves with every response to make the next one faster, smarter, and more reliable.
Read Post
pagerduty

Too Late to Learn: Why Security Post-Mortems Fail and How AI Can Help

Oct 30, 2025 By Casey Lems In PagerDuty
An effective post-mortem can turn a security breach into a blueprint for lasting resilience. But too often, in the stress of an incident, documenting what happened takes a back seat to containment and recovery. The resulting analysis relies heavily on memory, scattered notes, and competing narratives. Valuable context gets lost, timelines blur, and lessons that could strengthen defenses never become institutional knowledge.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.