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Hilderin/README.md

Guillaume Lebrun

Software architect and developer focused on scalable systems, clean architecture, developer tooling, game engine architecture, and AI-enabled software solutions.

About

I specialize in designing and evolving software systems that are maintainable, resilient, and aligned with long-term product and business needs.

My work focuses on modern architecture practices, including microservices, Kubernetes, cloud-native platforms, API-driven systems, and the modernization of monolithic applications.

I am also interested in the practical integration of artificial intelligence into software products and development workflows, with a focus on improving productivity, usability, and system capabilities.

Areas of Interest

Architecture   │ Microservices · Kubernetes · Cloud-native systems · Distributed systems
Backend        │ C# · .NET · GraphQL · REST APIs · Event-driven architecture
AI             │ LLMs · AI integration · Developer productivity · MCP
Game Dev       │ Game engines · Rendering · OpenGL · Vulkan · Godot · Tooling
Systems        │ C · C++ · Zig · Odin · Runtime experiments · Low-level programming

Current Focus

I am currently focused on designing software platforms that are easier to scale, operate, maintain, and evolve.

I enjoy working on the transition from large monolithic applications toward modular and cloud-native architectures. I also explore how AI can be applied pragmatically to improve both software products and the way development teams build, test, and maintain systems.

Open Source

I was actively involved as a maintainer of Godot Engine for over a year, contributing to one of the leading open-source game engines.

This experience strengthened my interest in engine architecture, rendering, tooling, developer experience, and accessible game development.

Projects

My GitHub repositories include experiments and projects related to:

  • Custom game engines and rendering
  • OpenGL and Vulkan graphics programming
  • Game development tools and engine architecture
  • LLM-powered tooling
  • Developer productivity tools
  • Low-level programming and systems experiments

Connect

Building systems that are cleaner, smarter, and easier to evolve.

Pinned Loading

  1. buddd buddd Public

    C++26 3D engine + multi-agent AI governance pipeline - every line of code is specified, critiqued, contracted, implemented, reviewed, and documented by LLM agents before it lands.

    C++

  2. llm-openai-vision-mcp llm-openai-vision-mcp Public

    Give your AI eyes - an MCP server that lets agents visually inspect images via OpenAI's vision API, with pass/fail verdicts against your criteria.

    Python

  3. llm-wiki-search llm-wiki-search Public

    LLM-powered semantic search for your local markdown wiki - Indexes .md files with FTS5 + hybrid search, watches for changes, and serves as an MCP tool for AI assistants.

    Python

  4. MiniEngine MiniEngine Public

    MiniEngine - C# Vulkan playground exploring meshlet culling, bindless rendering & GPU-driven pipelines.

    C#