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Stop buying bloated 3rd-party software. Build what your architecture actually demands

· 2 min read
Luciano Giacchetta
Luciano Giacchetta

Stop buying bloated 3rd-party software. Build what your architecture actually demands.​

This week, I didn't just ship features—I pushed my limits as a Senior Software Engineer by designing and launching custom AI-driven infrastructure to solve real organizational bottlenecks.

Here is a look at what went from my brain into production over the last 5 days:

🛠️ Custom AI RBAC System Instead of relying on rigid third-party access tools, I architected and built a native AI Role-Based Access Control (RBAC) application. It automatically reads and analyzes user permission levels, detects technical debt, and queues up precise fixes for engineering validation.

🌐 Advanced Model Context Protocol (MCP) Ecosystem I fully leaned into the MCP framework to supercharge our AI Agents:

  • The Framework: Evaluated agent ecosystems and built a streamable HTTP MCP Server entirely in pure Node 24, replacing clumsy CLI commands with a robust package of REST API tools and custom prompts designed to aid weaker models.

  • The Deployment Guardrail: Built an MCP Server that hooks directly into GitHub Actions. It assists AI agents in real-time configuration, troubleshooting, and deployment validations—enforcing strict, company-wide standards.

⚡ Multi-Cloud AI Clustering Architecture Designed and launched a Multi-Cloud AI Clustering MVP capable of running services across Kubernetes over disparate cloud providers, seamlessly connecting active AI agents to support the cluster.

The Reality Check: True senior engineering isn't about using the shiniest new model; it's about making AI work within constraints—building tooling that supports weaker models, automating manual deployment verification, and architecting custom solutions that eliminate external dependencies.

We don't wait for tools to be built for us. We build them.

What did you put into production this week?