Waterfall 2.0 reimagines classic stage-gated software development for the LLM era, combining fast AI generation with structured validation, cheap backtracking and a shared knowledge corpus.
From API Integration to Agent Governance: What Backend Teams Need to Know About MCP
Many MCP projects begin with an existing API and a simple request: expose one backend capability to an LLM client. The quickest route is to wrap an endpoint as a […]
AI-Native Testing Is Now a Core Quality Engineering Discipline
Predictions from some of the most prominent voices in the technology industry suggest that software engineering could become increasingly obsolete within a year, jolting the developer community in ways that […]
Moonshot AI’s Kimi K2.7-Code Targets Token Efficiency in Agentic Coding
Moonshot AI’s Kimi K2.7-Code offers 30% lower token usage and a 21.8% coding benchmark gain — here’s what DevOps teams need to know about the open-source release.
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.
Cursor’s New SDK Turns AI Coding Agents Into Deployable Infrastructure
Cursor’s TypeScript SDK lets teams invoke AI coding agents programmatically from CI/CD pipelines, with sandboxed VMs, MCP support, and token-based pricing.
SUSE Extends AI Agent Reach via MCP Server Integration
SUSE collaborates with AWS, n8n, and others to enable AI agents to manage IT infrastructure via Model Context Protocol (MCP) integrations in Rancher Prime and SUSE Multi-Linux Manager.
Grafana Labs Extends Observability Reach Deeper Into AI
Grafana Labs debuts Grafana 13, a specialized AI application observability platform, and an MCP-powered AI agent at GrafanaCON 2026 to streamline telemetry across complex cloud-native environments.
DBmaestro Introduces Agentic Database DevOps with MCP Server
Transforming Natural Language into Governed Platform Workflows Orlando, FL, April 7, 2026 – DBmaestro, the leading database DevSecOps platform, today announced the launch of its Model Context Protocol (MCP) server, […]
Context Engineering is the Key to Unlocking AI Agents in DevOps
Explore 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.
