Allstacks Extends Reach of Software Engineering Intelligence Platform to AI Agents
Allstacks this week added a shared workspace capability to its software engineering intelligence platform that makes it simpler for product and software engineering teams to create specifications for artificial intelligence (AI) agents that organizations plan to develop and deploy. Product Studio provides teams with a place to plan, draft, and refine product requirements using the […]
Agentic Observability is Not a Chatbot Over Telemetry
Agentic observability isn’t about removing engineers from the loop. It is about making the loop faster, better informed, and easier to operate at the scale modern systems require.
GitHub Copilot Gets Its Own App — and Agents Are the Reason Why
GitHub debuts the Copilot app at Microsoft Build 2026 — an agent-native desktop experience for managing parallel AI agents, canvases, sandboxes, and code review.
Survey Surfaces Pervasive Adoption of AI Across SDLC
Tricentis survey reveals 68% of orgs use AI in software delivery, but 60% admit to shipping untested code, leading to massive financial and security risks.
Ten Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of […]
xAI Opens Grok Build 0.1 to Developers via API
xAI’s Grok Build 0.1 is now available in public beta via the xAI API — a fast, purpose-built coding model for agentic workflows, debugging, and MCP support.
Claude Code’s Dynamic Workflows Take on the Tasks That Were Too Big to Automate
Anthropic’s Claude Code dynamic workflows run parallel subagents to tackle codebase-wide audits, large migrations, and complex engineering tasks end-to-end.
Claude Code Security Catches Vulnerabilities While You Write Code
Claude Code Security uses AI reasoning to catch complex vulnerabilities in code — including logic flaws that traditional static analysis tools consistently miss.
Why Logs, Metrics and Traces Still Don’t Give You Real Observability
If your team can answer the question “Did the system do the right thing?” and not just “Did the system stay up?”, you’re getting close to real observability.
Agentic SRE: The Next Frontier of Reliability
Agentic SRE is the evolution of site reliability engineering where AI agents help observe systems, reason over telemetry and take bounded operational actions under human-defined guardrails.
Harness Adds Pair of Tools to Track ROI in AI Coding
Harness today added two tools to track and analyze the impact code generated by artificial intelligence (AI) coding tools is having on application development. An AI Development Lifecycle (DLC) tool installs agent software on a developer’s machine to track adoption, sessions, and the code created across every coding agent, while a Cloud & AI Cost […]
Why Agent Skills Are the Next Evolution of Software Development
The emergence of agent skills — modular, reusable blocks of natural language instructions and metadata — is transforming the developer’s role.
The Future of Salesforce DevOps: Preparing for the AI Era
By establishing a robust DevOps foundation now, organizations can leverage these emerging predictive capabilities to transform reactive pipelines into proactive, self-correcting release architectures.
The End of Alert Fatigue: How AI-Powered Observability is Transforming SRE Teams in 2026
Alert fatigue among Site Reliability Engineering (SRE) teams has reached a breaking point, with responders drowning in thousands of weekly notifications where only 3% genuinely warrant attention. This massive volume of noise—driven by fragmented monitoring tools and rigid, threshold-based alerting—stifles innovation, spikes on-call burnout, and compromises system reliability. Fortunately, AI-powered observability and AIOps platforms are transforming incident management. By unifying telemetry across metrics, logs, and traces, intelligent systems can correlate signals, execute automated root cause analysis, and trigger self-healing remediation. This shift reduces alert volumes by up to 95% and slashes mean time to resolution (MTTR) by 40–58%, allowing engineers to pivot from reactive firefighting to proactive reliability engineering.
5 Ways Agentic AI is Redefining DevOps Architecture for Self-Healing CI/CD Systems
The era of the flaky test as a simple annoyance is over. As enterprises shift from deterministic applications to agentic AI, flakiness has evolved into a structural bottleneck for traditional CI/CD pipelines reliant on rigid, binary assertions. Because AI agents produce “Y-like” rather than exact results, DevOps architecture must fundamentally change. This article explores the transition from simple pipeline automation to true autonomy—detailing how multi-agent networks utilize predictive failure detection, self-healing test repair, autonomous incident remediation, and adaptive security scanning to create pipelines that actively problem-solve and adapt to code changes in real time.
Co-Developing an AI Native Observability Platform
Modern distributed hybrid enterprise environments are moving away from siloed monitoring toward AIOps platforms like Selector AI, which combine multi-domain data ingestion, domain-specific network language models, and co-development to enable autonomous, agentic network operations.
Designing an AI-Powered DevSecOps Guardrail Pipeline Using GitHub Actions
By embedding AI-powered guardrails directly into CI/CD pipelines, organizations can detect vulnerabilities earlier, enforce security policies automatically and accelerate secure software delivery.
Modernizing DevOps Security With Intelligent KYC Enforcement Layers
This is where smart KYC enforcement layers fit in — not a compliance box, but an engineering control that is directly part of DevOps processes.
Eight Ways AI Will Reshape DevOps in 2026 and Beyond
In 2026 and beyond, AI will not just change how software is developed, but change the very fundamentals of how people work.
Low-Code/No-Code in Microsoft 365: How Power Platform is Redefining Enterprise DevOps
Low-code and no-code platforms like Microsoft Power Platform are reshaping enterprise DevOps. When combined with cloud architecture, DevOps discipline, and AI-driven assistance, they enable organizations to deliver solutions faster without sacrificing control.
The Evolving Role of Observability in DevOps
DevOps practices have fundamentally changed how software is delivered, operated, and improved. At their heart, DevOps methodologies seek to unify development and operations, enabling teams to ship changes more quickly while maintaining system reliability. The discipline has grown beyond simple CI/CD automation to encompass culture, observability, and intelligent workflows. As organizations scale, they face new […]
How to Create an AI Acceptable Use Policy
When teams know which tools are acceptable and which data are off-limits, AI becomes a disciplined advantage rather than a quiet source of risk.
Microsoft Open-Sources RAMPART and Clarity to Bring Agent Safety Into the Dev Workflow
Microsoft open-sources RAMPART and Clarity to help dev teams embed AI agent safety testing directly into CI pipelines and design workflows.