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110 articles
AI
AI is automating coding, but software engineering still requires human judgment. Explore what shifting developer demand means for DevOps, QA and software delivery.
Showing 1–24 of 110
Blogs
Cloudflare brings Deno’s team aboard to expand self-hosted Workers and Durable Objects as Deno Deploy winds down and runtime support enters its final year.
AI
An agent that does the wrong thing leaves evidence — a bad diff, a malformed record, a customer complaint. An agent that does nothing and reports success leaves a green checkmark,…
Blogs
OllyGarden expands its Rose AI agent with Minimum Viable Instrumentation to identify observability gaps, optimize OpenTelemetry data and reduce telemetry costs.
Blogs
The new DevOps Standard deserves a serious reading. Its lasting value will depend on whether it helps organizations apply shared principles as people and agents take on different r…
Blogs
A federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access.
AI
An AI agent that works on an engineer’s laptop can feel like a breakthrough. It can read logs, query observability tools, inspect cloud resources and connect a failed deployment to…
AI
env zero’s EZ Control introduces an agentic DevOps control plane that detects infrastructure drift, applies policy-driven remediation and keeps automated changes attributable, reve…
AI
AI agents are getting good at probing the boundaries developers put around them. Their ability to improvise makes them hard to contain. “You ask for something in a very high-level,…
AI
The control that held your infrastructure together was plan review, meaning a person reading a diff and deciding whether to approve it. Not the policy document and not the pipeline…
AI
GitLab is introducing new rate limits for its cloud-based DevOps platform as growing demand from AI agents and automated development tools increases pressure on its infrastructure.…
Blogs
Anthropic’s redesigned Claude Projects coordinates parallel Claude Code sessions, delegates work across branches and brings the results back through familiar pull-request review wo…
Blogs
A three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence.
Blogs
Enterprise coding agent startup Factory announced it has raised $200 million at a $5 billion valuation, more than tripling its valuation from its last funding round five months ago…
Blogs
Vulnerability prioritization is not a language problem. The safest agent architectures use models to interpret and explain, while deterministic systems traverse the evidence. Ask a…
Blogs
JetBrains IDEs are where a lot of enterprise backend work happens — Java, Kotlin, Spring, big monorepos with a lot to break. So when an AI coding agent starts running shell command…
Blogs
The next DevOps challenge is not generating more software. It is proving, quickly and repeatedly, that a growing volume of machine-generated change is fit to ship.
Blogs
GitHub’s Project HydraFusion brings multi-model orchestration to Copilot, automatically routing coding tasks across AI models to balance quality, cost and complexity.
Blogs
A familiar pattern is emerging in observability conversations. As telemetry volumes grow and costs rise, the default recommendation is often to collect less data: Sample more, reta…
AI
AI agents that trigger real-world changes need more than confidence scores. A durable change-control gate should recheck policy, require approval for consequential actions, enforce…
AI
Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and…
Blogs
Agentic AI is changing government infrastructure requirements, pushing agencies to rethink workflows, observability, data movement and resource prioritization before investing in n…
Blogs
Anthropic’s temporary 50% increase to Claude Code weekly usage limits expires August 19, reducing available capacity for developers and DevOps teams without lowering subscription p…
Blogs
An SCW study finds a large variance in how frontier and budget LLMs perform across different frameworks, and explains the striking cost variance.
