We Ditched Terraform 1.10 for CloudFormation: Reducing IaC Complexity for Our Small AWS Team We’re a 4-person engineering team managing 32 AWS resources across dev, staging, and production environments for a B2B SaaS product. For 18 months, we relied on Terraform 1.10 to manage our infrastructure as code (IaC). But by Q3 2024, the overhead of maintaining Terraform outweighed its benefits for our
When you build a PowerShell project from multiple files, the natural structure is clear: enums first, then classes, then functions. Each group has its own place, and as long as dependencies only flow in one direction, that structure works perfectly. But sometimes a function depends on a class, and that class calls the function. There is no longer a clean boundary between the two groups — they need
Most cloud sustainability tools are built for sustainability officers. They pull three-month-old billing data, run it through a proprietary model, and produce a PDF that engineers never see. By the time you know your us-east-1 cluster emits twice as much as us-west-2 would have, it's been running for a quarter. The architecture is locked in. The carbon is already burnt. The only moment you can act
El problema real Cuando trabajas en DevOps, inevitablemente enfrentas el caos de gestionar infraestructura manualmente. Cambios undocumentados, configuraciones inconsistentes entre ambientes y actualizaciones que rompen lo que funcionaba. Terraform resuelve esto con un workflow estructurado que convierte tu infraestructura en código versionable y reproducible. El workflow de Terraform es el cicl
El Problema Real Cuando comenzamos a usar Terraform, muchos nos hacemos la misma pregunta: ¿cómo sabe Terraform qué recursos ya existen en la nube? La respuesta está en el state file, un archivo que frecuentemente causa dolores de cabeza innecesarios cuando no se entiende bien. El state file es un archivo JSON que Terraform mantiene como fuente única de verdad sobre tu infraestructura. Contiene
The drift problem nobody told you about If you have used Claude Code, Cursor, Aider, or any other AI coding agent across more than two projects, you have felt this: You start project A. You copy the .agents/ folder (or CLAUDE.md, or .cursorrules) from your last project. You tweak two things. Done. You start project B six weeks later. You copy from project A. You tweak three things this time. Now
Cross-posted from the Stigmem blog. Today we're releasing stigmem v1.0: A stable, open-source specification and reference implementation for a federated knowledge fabric for AI agents. Stigmem = Stigmergy + Memory. Stigmergy (Greek stigma — mark; ergon — work) is the coordination mechanism you see in ant colonies and termite mounds: agents don't communicate directly with each other. Instead, they
More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively