Business of DevOps
The Observability Bill is Coming Due – and AI Wrote Most of It
Alan Shimel | | agentic telemetry, AI in development, AIOps, APM (Application Performance Management), CI/CD (Continuous Integration/Continuous Deployment), data management, data quality, devops, instrumentation, Logging Standards, observability, Sawmills, Signal-to-Noise Ratio, software engineering, technology innovation, telemetry management, Telemetry OptimizationObservability has always had a data quality problem. AI coding agents just made it catastrophically worse. Shimmy sits down with the co-founders of Sawmills to dig into why unmanaged telemetry is the ...
Gemini Code Assist Gets Agent Auto-Approve, Inline Diffs, and Custom Commands to Speed Up the Core Coding Loop
Tom Smith | | Agent Mode, AI coding agents, AI-assisted development, Auto Approve, code review, Context Drawer, custom commands, developer productivity, devops, Finish Changes, Gemini Code Assist, Google Gemini, inline diff, IntelliJ, Outlines, software lifecycle, VS CodeGoogle’s latest Gemini Code Assist updates focus on workflow, not hype: Agent Mode with Auto Approve, inline diffs, a Context Drawer, custom commands, Finish Changes, and Outlines streamline how developers review, trust, ...
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Tom Smith | | agent orchestration, AI coding agents, AI in software delivery, Azure automation, Azure cost optimization, Azure Skills Plugin, Claude Code, cloud deployment, devops, Foundry MCP, GitHub Copilot, guardrails, infrastructure as code, institutional knowledge, MCP Server, Microsoft Azure, platform engineering, VS Code agent pluginsMicrosoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI ...
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Tom Smith | | AI code review, AI coding agents, Anthropic Code Review, Claude Code, Code Review Automation, developer productivity, devops, Engineering Velocity, GitHub integration, Logical Bug Detection, multi-agent systems, Pull Request Automation, secure software development, software quality, software reliabilityAnthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise ...
VS Code Is Becoming an Agent Control Plane — and Most Teams Haven’t Noticed Yet
Tom Smith | | agent debugging, agent orchestration platform, agent plugins, AI-assisted development, automation, browser tools, chat session forking, context compaction, control plane primitives, developer convenience, devops, Git repositories, governance layer, hooks, MCP servers, microsoft, organizational review workflows, Platform Engineer, plugin marketplace, policy enforcement, pull request reviews, release notes, security hooks, session memory, shared state, UI Testing, version control, versioned agent configuration, VS Code 1.110VS Code 1.110 ships agent plugins, hooks, and persistent memory. Microsoft is embedding control plane primitives into the IDE for AI agent governance ...
GitHub Copilot Coding Agent for Jira Connects Planning to Pull Requests Without Leaving Your Workflow
Tom Smith | | assign issues, coding agent, context switching, developer tools, draft PRs, GitHub Copilot, innovation, integration, JIRA, planning, Productivity, workflowGitHub Copilot, the coding agent, now integrates with Jira. Assign issues to Copilot and get draft PRs — no context switching between planning and code ...
How We Got Here: Alert Fatigue to Decision Fatigue
AI and observability reduced alert fatigue, but decision fatigue remains. Decision architecture helps DevOps teams scale operational judgment ...
On-Call Rotation Best Practices: Reducing Burnout and Improving Response
Neel Shah | | alert fatigue, alert hygiene, automated remediation, burnout prevention, incident management, incident postmortem, mttr, observability, on‑call best practices, on‑call compensation, on‑call metrics, OpsGenie, pagerduty, platform engineering, rotation models, runbook automation, Runbooks, shadow rotation, SREPractical SRE on‑call guide covering rotation models, alert hygiene, runbooks, metrics, compensation, shadowing, and automation to cut pager load and prevent engineer burnout ...
Can QA Reignite its Purpose in the Agentic Code Generation Era?
Tzvika Shahaf | | agentic AI, AI code generation, flaky tests, QA automation, sdlc, software testingAI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA ...
Unlocking Observability by Design With Inferred Schemas
Nicolas Takashi | | observability, OpenTelemetry, platform engineering, schema governance, telemetry pipelinesObservability systems generate massive telemetry, but schema drift creates friction. Learn how inferred schemas and OpenTelemetry Weaver restore structure ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Abhijit Ubale | | AI agents, automation, context engineering, context management, data governance, devops, incident management, kubernetes, memory architectures., Model Context Protocol, observability, operational complexity, performance optimization, production-grade agents, Productivity, scaling AI, selective context injection, structured memory, tool integration, workflow efficiencyExplore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impact on automation workflows, accuracy, and scalability ...
Google ADK Opens the Door to AI Agents That Work Inside Your DevOps Toolchain
Tom Smith | | Agile workflows, AI agents, AI-Driven Development, AI/ML ecosystem, CI/CD, code management, database queries, devops, engineering workflows, GitHub integration, Google ADK, MPL-based integrations, observability, observability-native frameworks, Pinecone, project management tools, software development, system performance, telemetery, third-party integrations, workflow automationGoogle ADK adds integrations for GitHub, GitLab, Jira, MongoDB, and seven observability tools. AI agents can now work inside your DevOps toolchain ...
