Development Policies

Key decisions and guidelines for Core Syntax Language and CS Kernel development.

Robot-Centric Development

All design decisions prioritize robotic systems performance, real-time constraints, and embedded efficiency.

Development Guidelines

S-Expression Based Syntax

Core Syntax adopts S-expression syntax as its fundamental structure, prioritizing uniform tree representation over traditional infix notation.

Key Benefits:

  • • AI systems can parse and generate S-expressions more efficiently
  • • Eliminates operator precedence ambiguity
  • • Enables powerful macro systems

Zero-Overhead Abstractions

All high-level abstractions must compile to optimal machine code with no runtime overhead compared to hand-optimized equivalent code.

Key Benefits:

  • • Critical for embedded and real-time systems
  • • Enables safe abstractions without performance penalty
  • • Maintains predictable performance characteristics

Compile-Time Memory Safety

Memory safety violations must be prevented at compile time through static analysis and type system guarantees, without requiring garbage collection.

Key Benefits:

  • • Eliminates entire classes of runtime errors
  • • Enables deterministic performance for real-time systems
  • • Reduces debugging complexity

AI-First Design Principles

Every language design decision prioritizes ease of AI analysis, generation, and optimization over traditional human readability concerns.

Key Benefits:

  • • Future development will be AI-assisted or AI-driven
  • • Enables automated code optimization
  • • Supports intelligent refactoring tools

Minimal Core, Extensible Libraries

The core language provides only essential primitives, with all advanced features implemented as libraries that can be selectively included based on target platform requirements.

Key Benefits:

  • • Enables deployment on resource-constrained systems
  • • Reduces compiler complexity and maintenance burden
  • • Allows domain-specific optimizations

Explicit Resource Management

Resource allocation and deallocation must be explicit and deterministic, with automatic deallocation following lexical scope rules rather than garbage collection.

Key Benefits:

  • • Enables predictable real-time behavior
  • • Reduces memory fragmentation
  • • Improves cache locality

Future Considerations

These policies represent our current understanding and may evolve as we gain more experience with AI-driven development and embedded systems requirements.

Under Review

  • • Concurrency model (async/await vs. CSP vs. actor model)
  • • Module system design
  • • Error handling mechanisms
  • • Foreign function interface (FFI) design

Research Areas

  • • AI-assisted code optimization techniques
  • • Formal verification integration
  • • Hardware-specific code generation
  • • Real-time scheduling primitives