Tech Blog: AI, Security, Infrastructure & Open Source

Explore architecture patterns for building agent-based systems, from reasoning loops to tool integration and operational governance.

Google Cloud Next 2026 put platform engineering front and center, with new tools for developer experience, Gemini-powered operations, and a maturing GKE ecosystem.

GitHub Copilot’s agent mode is now generally available, promising autonomous multi-step coding. Here’s what works, what doesn’t, and what it means for how we build software.

Python 3.14’s development is pushing free-threading forward. Here’s what the removal of the GIL means practically, and why it matters more than you might think.

Supply chain security frameworks like SLSA and SBOM requirements are moving from recommendations to mandates. Here’s what developers need to know about the shifting landscape.

Tracking the rapid evolution of AI model capabilities, from in-context learning and extended thinking to reasoning models reshaping development workflows.

With NVIDIA’s GTC 2026 around the corner, here’s what developers and infrastructure teams should be watching for in the next generation of AI compute.

OpenTofu has matured significantly since its fork from Terraform. Here’s where things stand and what it means for teams managing cloud infrastructure.

The EU AI Act’s general-purpose AI provisions have been in force for six months. Here’s what’s actually changed for developers and organizations building with foundation models.

FinOps has evolved from a finance initiative to an engineering discipline, and the teams that treat cloud costs as a first-class engineering metric are winning.

The WebAssembly Component Model is reaching maturity, and it might finally deliver on the ‘write once, run anywhere’ promise that Java made thirty years ago.

The AI agent framework landscape has exploded, with LangGraph, CrewAI, AutoGen, and dozens more competing for developer mindshare. Here’s what matters.