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Learn how to add Grafana observability to any AWS Fargate service using a Grafana Alloy sidecar and a single Terraform module block — CPU, memory, network, and trace signals flowing in under five minu...
The question is no longer 'should we adopt generative AI?' It's two portfolio decisions most engineering leaders aren't yet structured to answer. A 2026 framework for substrate choices and lane sequen...
A Jenkinsfile with one stage, no scanning, no caching. Here's how NextLink Labs used Claude Code to rewrite it into a production GitLab pipeline with rootless BuildKit, Trivy scanning, Skopeo retag, a...
Someone set that up manually a while back. Sound familiar? Here's how NextLink Labs uses Claude Code's agentic loop to import hand-built AWS infrastructure into Terraform — compressing a multi-day job...
Most LLM-generated Terraform is bad — not because of the tool, but because of the prompt. Here's how NextLink Labs uses Claude Code and CLAUDE.md conventions to generate Terraform modules that are clo...
One account becomes five, and eventually nobody knows which guardrails are where. Here's how NextLink Labs manages AWS Organizations, OU hierarchies, and Service Control Policies with Terraform and Gi...
Every codebase has vulnerabilities. Traditional scanners catch known patterns — but miss business logic flaws, unreachable CVEs, and compound misconfigurations. Here's how NextLink Labs uses Claude to...
Claude Code works great on 50-line demos. Large Rails codebases are different. Here's how NextLink Labs configures CLAUDE.md, MCP servers, custom skills, and permission hooks to make Claude genuinely ...
Learn how NextLink Labs built an AI-powered AWS cost digest to automate cloud expense tracking, identify anomalies, and optimize spending with weekly insights.
Custom Software Development
Large Rails monoliths burn millions of tokens per AI session. These 5 architectural changes cut costs and boost AI suggestion quality by 3-4x.
Most companies are either over-engineered or under-governed for AI agents. A six-layer maturity framework for figuring out where you actually need to be.
Explore the pitfalls of AI overconfidence in critical fields like hiring, finance, healthcare, and law enforcement, and discover solutions for more accountable AI systems.