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53 articles
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 responsibilities.
Showing 1–24 of 53
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.
Blogs
Claude Statuspane gives developers real-time visibility into Claude Code context use, rate limits, costs and CI status, highlighting a growing need for agent observability.
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…
Blogs
ZCode’s default-on indexing feature reportedly uploaded entire developer workspaces to cloud storage, highlighting why AI coding assistants should be treated as privileged software…
Blogs
AI-driven development is exposing risks before code is written, forcing security teams to move beyond shift-left and govern agents, prompts, tools and data across the entire develo…
Blogs
Claude Code now supports AGENTS.md, giving development teams a shared instruction format across multiple AI coding agents and reducing configuration drift.
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
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
GitHub’s Project HydraFusion brings multi-model orchestration to Copilot, automatically routing coding tasks across AI models to balance quality, cost and complexity.
AI
Anthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations.
Blogs
GitHub Copilot can now submit binding pull request approvals, moving AI code review from advisory feedback into the merge decision itself.
AI
Debian’s new AI contribution policy avoids bans and mandatory disclosure, instead making developers responsible for reviewing AI-generated work and protecting sensitive data.
Blogs
GitHub Copilot is tightening enterprise controls with upfront seat billing, longer chat retention and a Balanced code review default.
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
AI coding assistants are becoming a variable, usage-based engineering cost, forcing platform and DevOps teams to apply FinOps practices to models, credits, utilization and multi-ve…
Blogs
The DevOps community has already experienced technological extremes. You might recall the time when automation was thought of as a panacea for all possible engineering issues, and…
Blogs
AI agents are not just microservices with LLMs attached. Their long-running, non-deterministic workflows demand durable execution, per-step identity, governance and observability.
AI
When agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasonin…
Blogs
Anthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky…
Blogs
The tech landscape constantly evolves, making it tempting to chase every new trend. Ironically, in today’s business world, the word “innovation” has become almost synonymous with t…
Blogs
AI has moved very quickly from experimentation to production. A few years ago, many organizations were still asking whether AI could improve their products or internal workflows. T…
AI
IBM Bob adds multi-agent coordination, cost analytics, and modernization workflows for IBM Z, IBM i, and Java as AI governance takes center stage.
AI
One of the most common questions executives ask right now sounds straightforward: is the agent reliable enough yet? It feels like the right place to start, but the framing quietly…
