I build Rails AI tooling that reduces token costs by 15-20% and improves code quality consistency. Author of rails-ai-bridge (2,000+ downloads) and ruby-skill-bench (500+ downloads).

I build AI context infrastructure for Rails teams. My tools help developers give AI assistants the right information about their Rails applications, reducing token waste and improving code quality.

• rails-ai-bridge: Zero-configuration MCP server that generates context files (CLAUDE.md, .cursor/rules, etc.) and provides live introspection tools. 2,000+ downloads.
• ruby-skill-bench: Evaluation engine that measures whether AI context actually improves output. 500+ downloads.
• Proven results: 40-200% performance improvement, 15-20% token savings in production Rails applications.

I'm available for consulting engagements helping Rails teams adopt AI tooling effectively.

flowchart LR
    Developer[Developer with Rails app] --> Bridge[rails-ai-bridge<br/>Context Generation + MCP Server]
    Bridge --> IDEs[IDEs: Cursor, Claude, Copilot]
    Bridge --> Bench[ruby-skill-bench<br/>Quality Validation]
    Bench --> Results[Measurable Improvement Data]

A zero-configuration MCP server providing instant, read-only system introspection tools (routes, models, database schemas, active jobs) directly to AI assistants. Generates context files for multiple AI clients (Cursor, Claude, Copilot, Windsurf, RubyMine, Codex CLI).

• 2,000+ downloads on RubyGems
• 94.49% test coverage with 1,745 specs
• Multi-format output: CLAUDE.md, .cursor/rules, AGENTS.md, GEMINI.md
• Semantic analysis: Integrated rubydex for code graph context
• MCP Server: 11 live introspection tools for AI assistants
• Token savings: ~15-20% reduction via smart context presets

High-fidelity evaluation engine for benchmarking AI agent skills. Measures the "ROI of Context" by comparing baseline vs. skill-enhanced agent runs with 100% reproducibility via isolated Git sandboxes.

• 500+ downloads on RubyGems
• Multi-provider support: OpenAI, Anthropic, Gemini, DeepSeek, Groq, Ollama, and more
• Blind judging: Evaluates across Correctness, Quality, Test Coverage dimensions
• Process gates: Validates TDD adherence and workflow discipline

• rails-agent-skills: 28 Rails-specific skills and 9 workflow templates (tdd, review, setup, quality, engine, bug-fix, graphql, migration, background-job).
• ruby-core-skills: 15 foundational Ruby skills for refactoring, security, and test planning.
• hanakai-yaku: Experimental Hanami skills (35 skills + 10 agents) — used to validate skill format portability, not actively maintained as a product.

Safe Rust CLI for MCP runtime management. Served as a learning project and prototype. Registry resolution logic has been ported to rails-ai-bridge. This repository is archived.

Core Frameworks	AI Engineering	Agentic Tools	System Architecture	Systems & Infra

• Dealerware (Software Technical Lead | May 2022 — April 2026): Originally joined as a contractor via 3Pillar Global, hired directly and promoted from Mid-level to Senior, and subsequently to Software Technical Lead due to high performance. Directed cross-functional distributed squads across 20+ production codebases while maintaining exceptional individual contributor velocity (370+ merged PRs) on frameworks handling 10,000+ hourly transactions. Led a zero-downtime search infrastructure overhaul migrating from Elasticsearch to OpenSearch, and elevated core system test coverage from 55% to 80% via AI-assisted edge case discovery.
• 3Pillar Global (Lead Software Engineer): Modernized legacy enterprise monolithic codebases by enforcing structured Domain-Driven Design (DDD) principles and Service Objects, and designed a comprehensive end-to-end multi-region i18n framework from scratch.
• MagmaLabs (Senior Engineering Manager): Guided company-wide high-throughput e-commerce integrations, scaling progressive checkout workflows, advanced subscription layers, and complex multi-region payment gateways across the Spree and Solidus ecosystems.

I help Rails teams adopt AI tooling effectively through consulting and open-source tools.

• 💼 Consulting: AI context audits, rails-ai-bridge implementation, skill pack customization, and eval-driven quality improvement.
• 💬 Open source: Discuss rails-ai-bridge or ruby-skill-bench via GitHub issues or discussions.
• 📧 Contact: LinkedIn or ismael.marin@gmail.com