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6 articles
AI
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.
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Video Interviews
Shared staging environments were never designed for a world where dozens of changes land in a codebase every hour. Yet most engineering teams still depend on them as the primary ch…
AI
Three critical vulnerabilities found in Anthropic’s Claude Code agentic AI developer tool could be exploited simply by cloning and opening an untrusted project and lead to system t…
Blogs
Cursor 2.0 introduces the Composer AI model and a new multi-agent interface—offering faster coding, smarter context, and seamless DevOps integration.
AI
Developers are moving beyond single AI coding assistants to teams of specialized agents, boosting speed, scalability, and collaboration in software development.
AI
AI agents can code, test, and deploy—but only with the right context. Learn how context engineering unlocks DevOps-ready AI for the full SDLC.
