specular-ai 0.1.0

Spec-as-Source Framework: AI-driven development where specifications are the source of truth.

Specular

Specular is a "Spec-as-Source" AI coding framework. It treats rigorous, SRS-style specifications as the source of truth and uses LLMs to compile them into executable code.

Key Features

• Spec-as-Source: Code is a build artifact. You edit the Spec, not the Python/JS file.
• Contracts over Code: Define what you want (Functional Requirements) and constraints (Non-Functional Requirements).
• Self-Healing: An autonomous loop (attempt_fix) analyzes test failures and patches code to resolve discrepancies.
• Multi-Provider: Supports Google Gemini and Anthropic Claude via a pluggable provider system.
• Agent-Native: Also available as an MCP server for AI agents.

Installation

# Requires Python 3.10+ and uv
git clone https://github.com/symbolfarm/specular.git
cd specular
uv sync

Quick Start

# Set your API key
export GEMINI_API_KEY="your-key-here"

# Create a new spec
specular create calculator "A simple calculator with add and multiply"

# Edit src/calculator.spec.md to define your requirements...

# Compile to code
specular compile calculator

# Run the generated tests
specular test calculator

# If tests fail, auto-fix
specular fix calculator

CLI Reference

specular list                     List all specs in src/
specular create <name> <desc>     Create a new spec from template
specular validate <name>          Check spec structure
specular compile <name>           Compile spec to code + tests
specular test <name>              Run tests for a spec
specular fix <name>               Auto-fix failing tests
specular build                    Compile all specs in dependency order
  --incremental                   Only recompile changed specs
  --parallel                      Compile independent specs concurrently

LLM Providers

Google Gemini (default)

export GEMINI_API_KEY="your-key-here"
export SPECULAR_LLM_MODEL="gemini-2.0-flash"  # optional

Anthropic Claude

export SPECULAR_LLM_PROVIDER="anthropic"
export ANTHROPIC_API_KEY="your-key-here"
export SPECULAR_LLM_MODEL="claude-sonnet-4-20250514"  # optional

MCP Server (for AI Agents)

Specular can run as an MCP server for Claude Desktop or other AI agents:

"specular": {
  "command": "uv",
  "args": ["run", "specular-mcp"],
  "env": {
    "GEMINI_API_KEY": "your-key-here"
  }
}

Or use the CLI: specular mcp

Development

uv run pytest    # Run tests
uv run ruff check src/  # Lint