VS Code 1.135 adds Rubber Duck AI review, persistent agent sessions, Agent Host infrastructure and clearer token usage as Microsoft builds a more agentic IDE.
A Simple Website Summary Just Exposed the Limits of AI Coding Guardrails
Claude Code’s Auto Mode was bypassed in an attack chain that turned a routine webpage summary into remote code execution, highlighting the limits of AI agent guardrails.
GitHub Tightens Copilot’s Billing and Governance Rules Ahead of a Busy Fall
GitHub Copilot is tightening enterprise controls with upfront seat billing, longer chat retention and a Balanced code review default.
The Missing Runtime for Long-Running AI Agents
Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or […]
AI Can Generate Your Infrastructure. Can Your CI/CD Pipeline Trust It?
AI-generated infrastructure code is exposing a growing security gap, pushing platform teams to add stronger automated gates, provenance tracking and human review before Terraform, Kubernetes and CI/CD changes reach production.
Your AI Coding Budget Is Becoming a Variable Cloud Bill
AI coding assistants are becoming a variable, usage-based engineering cost, forcing platform and DevOps teams to apply FinOps practices to models, credits, utilization and multi-vendor spend.
Scalable Jenkins Management: Empowering Enterprises With Centralized Control for 150+ Instances
A centralized Jenkins control plane can reduce fleet sprawl, automate upgrades and backups, improve observability, and give application teams safe self-service across large multi-cloud CI/CD estates.
What the Microservices Era Can Teach Us About AI
AI agents are not just microservices with LLMs attached. Their long-running, non-deterministic workflows demand durable execution, per-step identity, governance and observability.
GitHub Copilot’s Latest Update Bets on Model Choice, Not Model Loyalty
GitHub’s latest Copilot updates add Kimi K3, MAI-Code-1.1-Flash, Agent Plugins 1.0, model switching, CLI improvements, and local Ollama support.
So Agentic Systems Are Messing Up Your SLO Framework
Traditional SLOs cannot show whether AI agents are behaving correctly. Platform teams need layered metrics for infrastructure, inference and behavioral reliability.
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