The Verdict — Vladimir Mikhalev

HashiCorp's Terraform MCP server is GA and IBM Bob can write production IaC. ENABLE_TF_OPERATIONS separates a safe assistant from autonomous apply.

AI made reproducible knowledge free, so technical expertise is now a depreciating asset. Judgment is the one that compounds. Here is how to move your weight.

Juniors get the biggest boost from AI; seniors trust it least. That split is your earliest read on engineering risk, and on the talent you're about to lose.

Unknown numbers of AI coding agents run in parallel — no audit trail, no isolation, no per-team measurement. By 2026 that's an audit finding.

How I hardened a 730K-pull public Docker image from Scout grade D to OpenSSF Scorecard 7.8. Multi-stage build, cosign signing, SLSA provenance, non-root default, and the incident that changed how I ship attestations.

How removing Google Analytics 4 from an Astro site unlocked Lighthouse 100, why Cloudflare Web Analytics replaced it, and what the tradeoffs actually cost.

Over half of AI-enabled apps on major backends carry severe misconfigurations. A hands-on analysis of the 300M-message Firebase breach, the insecure default that caused it, and the 3-layer Operational Discipline Protocol — with specific tooling — to shut down Agent Sprawl before regulators do it for you.

Everyone is buying Mac Minis and installing AI agents. I tested one in isolation. Here is the architectural framework for deployment that the Instagram hype does not include.

Amazon laid off Jason Dunn, the architect of the AWS Community Builders program. This isn't the death of community — it's the signal that community must prove production value, not just engagement metrics.

Infosys just deployed Devin AI globally. If you are a DevOps engineer competing on technical execution, you are now "Legacy Labor". Here is the blueprint to survive.

Anisoptera's "Dragonfly" platform just proved that specialized CV engineers are no longer irreplaceable. Here is the math ($150k vs $5k) and the architectural blueprint to survive the shift.

AI adoption is easy. Proving productivity isn't. A Docker Captain's view on why AI impact is hard to measure—and how teams can finally prove real value.

A deep, practical guide to Platform Engineering. Learn how to build internal developer platforms, golden paths, GitOps workflows, and scalable cloud foundations.

Learn how to turn GPT into a real DevOps assistant using Docker MCP. Discover how AI agents can automate Slack, GitHub, Stripe, and more — securely and at scale.

Learn how to build a production-grade GitOps pipeline on AWS using EKS, Argo CD, Terraform, Vault, and GitHub Actions. Real-world architecture. No buzzwords — just systems that scale.

Without DevOps, AI fails fast. Learn how containers, CI/CD, and GitOps keep LLMs and ML systems like OpenAI and Hugging Face running at scale.

Exploring a future where AI controls all aspects of life, redefining global governance and social interactions.