Why Your AI Agent is a Black Box and How to fix it With OpenTelemetry
You built the agent. It works in testing. Then it hits production and starts giving wrong answers, timing out or burning through your token budget, and you have no idea why. This is when developers discover that print statements and log files weren’t designed for this. LLM applications fail in ways that traditional tooling can’t see. A hallucination doesn’t throw […]
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 […]
IBM, Red Hat Launch Project Lightwell to Secure Open Source Software from Frontier Models
IBM and Red Hat are bringing together what they’ve learned from frontier AI models and 20,000 engineers to launch Project Lightwell, a $5 billion initiative aimed at helping enterprises better secure their open source software, work that has become more challenging in the age of such models as Anthropic’s Claude Mythos Preview. Mythos and similarly […]
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.
Perplexity Bumblebee Shakes Loose Hidden Threats on Dev Desktops
The fight to maintain security has moved to the engineer’s messy desktop. Last week, AI search provider Perplexity open-sourced an internal tool, Bumblebee, for checking developer machines, either Linux or macOS, for vulnerable software. Continuous integration pipelines have baked security checks into them, with Software Bills of Materials (SBOMs) ensuring that the correct version of […]
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.
Attackers Can Exploit a Claude Code RCE Flaw to Take Command of System
A dangerous vulnerability found in Anthropic’s popular Claude Code developer model could have allowed bad actors to grab control of a victim’s system by luring them into clicking on a crafted malicious deeplink. Once in, the attacker could exploit the remote code execution (RCE) security flaw to execute arbitrary commands – such as shell commands […]
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.
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.
CloudBees Survey Surfaces Increase in Production Issues Attributable to AI
A survey of 213 IT leaders, conducted by CloudBees, finds that while 93% report they are seeing productivity gains that are driven by increased adoption of artificial intelligence (AI) tools, a full 81% also report they have seen an increase in production issues attributable to AI-generated code. Shared this week at an Agentic DevOps World […]
The Automation Layer Wants to Own Enterprise AI
Organizations want AI systems capable of prioritizing alerts, routing workflows, coordinating across applications, initiating remediation steps, summarizing operational data and adapting dynamically based on changing context. The system is no longer following a rigid set of instructions. It is participating in operational decision-making. That changes the operational risk profile dramatically. When deterministic automation fails, the blast radius is usually constrained. Probabilistic systems introduce a completely different level of complexity because behavior can evolve dynamically during runtime.
1Password Allies With OpenAI to Secure Codex AI Coding Tool
DevSecOps teams can now manage coding agents as a tenant rather than another vault where secrets might be stored, ensuring credentials are never exposed to an AI agent or LLM as plain text. The MCP server does not read or return secret values through the MCP channel, allowing Codex to create environments and invoke applications while the values themselves never leave the 1Password vault.
We Spent 15 Years Automating Infrastructure. Now We’re Automating Decisions
As DevOps shifts from deterministic infrastructure automation to AI-driven probabilistic judgment, organizations face a profound transition from automating tasks to automating operational reasoning. Discover why this requires a fundamental evolution in platform engineering, trust, and governance.
Cursor’s Composer 2.5 Brings Smarter, More Reliable AI Coding Agents
AI-assisted coding tools are getting a meaningful upgrade. Cursor has released Composer 2.5, the latest version of its proprietary coding agent model, and the improvements go well beyond a version bump. Composer 2.5 is described as a substantial improvement in intelligence and behavior over its predecessor, Composer 2. It handles sustained work on long-running tasks […]
GitHub Copilot Gets Its Own App — and It’s More Than a Coding Assistant
GitHub has launched a standalone Copilot desktop app in technical preview, moving beyond the IDE to introduce a dedicated cockpit for agentic development. The app enables developers to manage parallel, isolated agent sessions directly from GitHub issues, while introducing “Agent Merge”—a feature that autonomously fixes CI failures and handles code reviews to streamline the entire PR lifecycle.
Microsoft Copilot Studio Brings Computer-Using Agents to the Enterprise
For years, IT and DevOps teams have wrestled with the same stubborn problem: how do you automate workflows in systems that were never built for automation? Legacy apps, vendor portals, and proprietary line-of-business platforms rarely offer APIs. That means someone, usually a human, ends up clicking through screens, entering data, and completing transactions by hand. […]
GitLab Act 2: Still an Open Book
An analysis of GitLab’s “Act 2” transition under CEO Bill Staples, examining whether the company can successfully pivot to an AI-native, agentic software delivery model while dismantling the radically transparent, remote-first culture that originally defined its brand and operational success.
xAI Enters the Coding Agent Race With Grok Build
Elon Musk’s xAI has entered the developer workspace with Grok Build, a local-first coding agent featuring an automated “Arena Mode” that runs and ranks parallel AI outputs to rival Anthropic and OpenAI