DevOps

Amazon Web Services reveals that a 13-hour outage in its China region was triggered by Kiro, an internal AI coding agent, though the company places the ultimate blame on human oversight regarding permissions.

Move from reactive container restarts to autonomous code-level remediation using LLM-powered agents for microservices reliability.

A comprehensive guide to integrating Google Gemini into your command-line workflow for debugging, code analysis, and documentation without leaving the terminal.

Learn how to eliminate technical debt and token-wasting cleanup iterations in Claude Code using the Checkmate plugin, ensuring every AI-generated commit is linted, formatted, and type-checked.

OpenAI has significantly upgraded ChatGPT's execution environment, allowing users to run bash commands, install packages via pip and npm, and download external files directly within the sandbox.

Datadog integrates OpenAI Codex to automate complex system-level code reviews, improving performance monitoring and security across its massive Go and C++ codebase.

A comprehensive guide on how the Model Context Protocol (MCP) bridges the gap between LLMs and live DevOps environments, featuring implementation strategies for Jenkins, Jira, and PostgreSQL.

Learn how to master API key management and load balancing for LLMs using Bifrost and Maxim AI. This guide covers weighted distribution, model whitelisting, and failover strategies for production-grade AI.

Moving an AI application from a prototype to production reveals challenges in reliability, cost, and governance. This guide explores why an LLM Gateway is the essential architectural layer for scaling AI and how platforms like n1n.ai simplify this transition.