Hybroid Live

Overview

Hybroid Live is a sophisticated domain-specific language (DSL) and compiler suite built from the ground up to modernize level development for the PewPew Live engine. While the engine runs on Lua, Hybroid provides a safer, more expressive, and performant developer experience by transpiling high-level code into optimized Lua.

Engineering Leadership & Contributions

1. Compiler Infrastructure (Go)

• Parser & Lexer Architecture: Led the development of a stable, UTF-8 aware lexer and a recursive-descent parser. Implemented a robust “synchronization” strategy to allow the compiler to continue parsing after encountering errors, enabling multiple error reports in a single pass.
• Multi-Pass Semantic Analysis: Developed and refined the “walker” system (Passes 1–3), which handles complex tasks like scope resolution, static type checking, and generic type inference for game entities.
• Code Generation: Engineered the generator to produce efficient Lua code, implementing features like bitwise operations, custom operators, and smart environment access.

2. Advanced Error System (“Alerts”)

• Inspired by the Rust compiler, I built a diagnostic system that provides high-fidelity error messages. This includes specialized Printer and Collector components that render color-coded code snippets with single-line and multi-line context, making it easy for developers to identify and fix issues.

3. Automated API Integration

• To keep Hybroid in sync with the evolving PewPew Live engine, I developed a Python-based API generator. This tool parses raw documentation from the engine’s utility repo and automatically generates the corresponding Hybroid bindings, ensuring 100% API coverage with zero manual boilerplate.

4. Project Tooling & DevOps

• Architected the CLI interface, implementing commands for project initialization (init) and optimized builds.
• Established the testing infrastructure, including automated Go verification suites and evaluator tests to ensure the compiler’s correctness.

Impact

Hybroid Live has transformed level creation from error-prone scripting to a professional software engineering workflow. By introducing static analysis and automated fixed-point math handling, it has significantly reduced runtime crashes and performance bottlenecks for the entire creator community.

Tools & Technologies

• Language: Go (Golang).
• Supporting Scripts: Python (API generation, build automation).
• Key Concepts: Abstract Syntax Trees (AST), Transpilation, Static Typing, Lexical Analysis.