ai-augmented

A .NET framework, re-imagined as an AI-augmented foundation for enterprise back-end services.

Raw data in. Hallmarked golden records out. ASSAY → UNEARTH → REFINE → UNFURL → MARK

AI-Augmented Software Engineer | Portfolio & Configuration

Strategic Systems Architect Portfolio. Human strategy, AI execution.

AI-augmented Windows 11 developer workstation. One repo. One command. Everything configured.

Offline-first secure card manager — AI-augmented build, with architecture + demo (product code private).

A metadata convention for markdown corpora that AI agents write to, plus a skill that enforces it and a checker that verifies it.

Bilingual (EN/ES) portfolio site for Brian Ramirez, Workflow Automation Specialist. Vanilla HTML/CSS/JS, no framework, no build step.

AI-augmented target audience analysis system. Maps customer data to U.S. population archetypes derived from public census and survey data, producing ranked, source-tagged Target Audience Reports.

Installable Claude Code skill for inspecting software and plugin ZIPs without running their code, producing traceable architecture findings, and showing one part of a private engine used for feature discovery, documentation, and debugging support.

Single-page reference card: eight failure modes of AI-augmented knowledge work, each with countermeasure. Share it, print it, or load it into an agent's context.

Phase-by-phase engineering standards, best practices, and checklists for engineering organisations under regulatory pressure and AI augmentation. 12 phases, 4 cross-cutting docs, 8 ready-to-use checklists.

[ScalCom'22] TESCO: Multiple Simulations based AI-augmented Fog computing for QoS Optimization

Personal portfolio — Astro 6, TypeScript, Tailwind v4, MDX. Built in the open with an AI-augmented, two-reviewer PR pipeline.

Playwright BDD framework with AI agent instructions for Claude Code and GitHub Copilot

This document defines ASA+ (AI-Augmented Solution Architecture), as an enterprise-oriented architectural approach for integrating AI into existing organizational ecosystems through augmentation, coexistence, and gradual absorption rather than AI-first replacement.