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128 articles
Blogs
GitHub is rebuilding its Git infrastructure as AI coding agents drive billions of commits, promising up to 35x faster writes while exposing new DevOps bottlenecks.
Showing 1–24 of 128
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
Platform engineering has automated deployment but not recovery. The next maturity curve is intelligent operations that automate routine production decisions and resilience.
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.
Blogs
When we launched the DevOps Dozen in 2015, we wanted to recognize the people, projects and companies helping this community move forward. We saw the work happening across DevOps ev…
Blogs
Techstrong, Tech Field Day and Visible Impact come together, backed by the research, intelligence and expertise of The Futurum Group.
Blogs
Git 2.56 improves merge safety, speeds up large-repository operations and adds cleanup tools that could prove especially useful for AI coding agents and busy DevOps teams.
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
Multi-cloud strategies often stumble over provider-specific behavior. A layered abstraction built on official SDKs can normalize differences while preserving access to valuable nat…
Blogs
Observability costs can spiral when teams collect more telemetry than they actually use. A more mature approach prioritizes the data that directly improves incident detection, diag…
Blogs
Claude Code now supports AGENTS.md, giving development teams a shared instruction format across multiple AI coding agents and reducing configuration drift.
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
GitHub’s August 2026 report details five outages tied to Actions and Copilot growth outpacing infrastructure. Here’s what platform teams should know.
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
Most Rust developers don’t use a debugger. That’s the headline finding from the Rust compiler team’s first dedicated debugging survey, and it’s worth sitting with for a second. Rus…
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
DevOps is often associated with speed: shorter release cycles, greater automation, faster feedback and increased developer autonomy. In financial services, however, speed is only o…
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
For years, cloud infrastructure changes were mostly a mystery. An engineer would log into a dashboard, tweak a setting, run a few scripts, and that was it. Nobody worried until som…
Blogs
VS Code 1.135 adds Rubber Duck AI review, persistent agent sessions, Agent Host infrastructure and clearer token usage as Microsoft builds a more agentic IDE.
AI
Claude Code’s Auto Mode was bypassed in an attack chain that turned a routine webpage summary into remote code execution, highlighting the limits of AI agent guardrails.
Blogs
GitHub Copilot is tightening enterprise controls with upfront seat billing, longer chat retention and a Balanced code review default.
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…
