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Komodor Extends Reach of AI SRE Orchestration Framework
Komodor today extended the reach of its orchestration framework for artificial intelligence (AI) agents by adding support for Model Context Protocol (MCP) servers and the OpenAPI specification. Company CTO Itiel Shwartz said ...
Policy as Code for Cost Control, Not Just Compliance
Mariusz Michalowski | | cloud cost management, FinOps, infrastructure as code, kubernetes, platform engineering, policy as codePolicy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early ...
Harness Extends AI Security Reach Across Entire DevOps Workflow
Harness today added an ability to automatically secure code as it is being written by an artificial intelligence (AI) coding tool in addition to adding a module to its DevOps platform that ...
Sauce Labs Makes AI Agent for Creating and Running Tests Available
Sauce Labs today made generally available an artificial intelligence (AI) agent that translates a natural language intent into a set of executable test suites that can run anywhere. Company CEO Dr. Prince ...
Java 26 Arrives With AI Integration and a New Ecosystem Portfolio — What It Means for DevOps Teams
Tom Smith | | agentic development, Ahead-of-Time Object Caching, AI workloads, cloud-native Java, concurrency, Embabel, enterprise devops, G1 GC, Helidon, HPKE, HTTP/3, integrity by default, Java 26, Java Verified Portfolio, JavaFX, JavaOne 2026., JEP 500, JEP 516, JEP 517, JEP 522, JEP 524, JEP 525, JVM, JVP, LangChain4j, model integration, OCI, Oracle, Oracle Code Assist, PEM standardization, performance tuning, post-quantum JAR signing, security posture, startup performance, Structured Concurrency, supply chain, VS Code Java extension, ZGCOverview of Java 26 emphasizing performance, concurrency, security, HTTP/3, and the new Java Verified Portfolio—positioning the JVM as a supported infrastructure layer for enterprise AI workloads and easing DevOps modernization of large ...
When Code Becomes Cheap, Engineering Becomes Governance
Alan Shimel | | AI code generation, AI-assisted development, apprenticeship, architecture, code governance, code oversight, democratization of coding, developer productivity, developer supervision, end of programming myth, governance era, industrialized programming, integration risk, maintainability, operations, security risk, software reliability, systems thinking, technical debt, validationAI agents can now generate in minutes what once took teams weeks, but the real shift is not faster coding. It is the collapse of code scarcity. As software production becomes industrialized, ...
Gemini CLI Plan Mode Separates Thinking From Doing — and Makes Read-Only the Default
Tom Smith | | agent governance, ask_user, auditability, codebase investigation, Conductor, developer approval, Gemini 3.1 Pro, Gemini CLI, MCP read-only, model routing, orchestration, plan mode, read-only, research-first, risk managementGoogle’s Gemini CLI Plan Mode enforces read-only research-first workflows—using higher-reasoning models for strategy, ask_user prompts for clarification, and read-only MCP integration—so agents propose vetted implementation plans before code changes ...
The Green Side of Observability: Why Less Data Can Mean More Insight
Observability can generate massive data volumes. Learn how sustainable observability reduces telemetry waste, lowers costs and improves insight ...
Five Great DevOps Job Opportunities
Mike Vizard | | career advancement, Cloud Security, devops engineer, devops jobs, hiring trends, job roundup, remote-friendly, Salaries, senior roles, SRE, tech hiring, weekly jobs reportWeekly DevOps jobs roundup, this week highlighting top roles in Massachusetts, New Jersey, Chicago, Charlotte and Seattle, with pay ranges and hiring trends to help DevOps pros advance careers ...
Survey: AI Coding Exacerbates Existing DevOps Workflow Issues
A global survey of 700 software engineering practices published this week finds that thanks to increased reliance on artificial intelligence (AI) coding tools, well over a third (35%) are either achieving daily ...
Low-Code’s New Frontier: Tailored Solutions for Each Industry
JJ McGuigan | | application development platforms, DevOps pipelines, digital transformation, enterprise devops, low-code development, regulated industriesFor years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering ...
The Risk Profile of AI-Driven Development
Ilkka Turunen | | AI-generated code, AIBOM, autonomous development, autonomous security, challenge bottleneck, CI CD gating, cloud-native security, Dependency Management, GRC engineering, hallucinations, IDE controls, license compliance, machine speed enforcement, OpenSSF Gemara, Outdated Dependencies, policy based dependency selection, prompt level governance, review bottleneck, runtime transparency, SBoM, secure by default, shift left security, Software Supply Chain, threat modeling, transitive dependencies, trusted registries, typosquattingAnalysis arguing that AI-driven code generation accelerates dependency decisions and expands supply-chain risk, requiring shift-left governance, prompt-level controls, automated SBOM/AIBOM visibility, threat-modeling as engineering, and autonomous security to match autonomous development ...
