API keys got you here. They won’t get you where you’re going. OAuth isn’t a future upgrade. It’s the foundation your agents should have been built on from the start.
Agentic DevSecOps: AI Security Co-Pilots for Your CI/CD Pipeline
The emergence of AI has brought endless possibilities and innovative opportunities in today’s ever-changing, fast-paced technology landscape. AI is helping development teams produce software significantly faster than ever before. AI-enabled DevSecOps tools can automatically scan code, infrastructure and other configurations for security issues throughout development, accelerating the overall process. The introduction of agentic AI into the software […]
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
In complex software systems, our traditional definition of operational health has always been comfortably binary. For over a decade, site reliability engineering (SRE) teams have relied on the industry-standard ‘Four Golden Signals’ — latency, traffic, errors and saturation — as the ultimate truth of platform stability. If our API-response times are hovering at sub-100 ms, […]
When Should a DevOps Agent Act Without Human Approval?
Deploying AI agents in DevOps requires a granular approach to autonomy based on reversibility, blast radius, signal quality, and time sensitivity to build organizational trust.
The Next AI Breakthrough Isn’t Generative, It’s Agentic
Generative AI first captured the world’s attention by producing content at an unprecedented speed. From lines of code and documentation to frameworks and designs, content creation is now readily available at the click of a button. But the initial excitement around generative AI’s capabilities has given way to a new enterprise reality. As organizations move […]
Agentic Systems are Breaking Reliability Frameworks
Agentic AI systems introduce “silent failures” that bypass traditional SOC alerts. Learn why DevOps and Security teams must shift from deterministic assertions to distribution-based testing and runtime behavioral boundaries.
Sorry, Charlie, StarKist Wants AI With Good Taste
A surprising AI experiment showed that feeding a model sloppy code didn’t just produce bad programming, it produced bad behavior. The result points to something philosophers and DevOps engineers have long understood: Character, culture and incentives shape systems far more than rules alone.
Why AI Makes Requirements a Runtime Artifact
In traditional software, requirements are static design-time artifacts. In AI-enabled systems, they must be continuously observed and enforced in production. Learn how AI collapses the boundary between design-time and runtime, shifting requirements toward behavioral constraints, continuous verification, and shared ownership across engineering and operations
Google Adds Hooks to Gemini CLI for Customized AI Workflows
Enhance Gemini CLI with new hooks to customize AI assistant workflows without code changes. Improve control and optimize AI for development teams.
Dynatrace Delivers on Promise to Observe AI Coding Tools from Google
Dynatrace announced new integrations with Google Cloud Gemini Enterprise and Gemini CLI, using agentic AI, A2A protocol, and MCP servers to enhance observability, root-cause analysis, and DevOps governance across AI-driven workflows.