Attune Architecture-Aware Init Command

Research-driven project initialization that selects appropriate architectural paradigms based on project needs.

When To Use

Use this command when you need to:

• Start a new project with architecture guidance
• Choose between architectural paradigms (hexagonal, clean, etc.)
• Get research-backed architecture recommendations
• Initialize project with paradigm-specific templates
• Understand trade-offs of different architectures

When NOT To Use

Avoid this command if:

• Architecture already decided (use /attune:project-init directly)
• Simple project without architectural complexity
• Modifying existing project structure
• Standard patterns sufficient without special architecture

Usage

# Interactive mode (recommended) - guides through architecture selection
/attune:arch-init --name my-project

# Specify language and let it recommend architecture
/attune:arch-init --name my-project --lang python

# Specify both language and architecture
/attune:arch-init --name my-project --lang python --arch hexagonal

# Accept recommended architecture without prompting
/attune:arch-init --name my-project --lang python --accept-recommendation

What This Command Does

1. Gathers project context:

   • Project type (Web API, CLI, data pipeline, etc.)
   • Domain complexity
   • Team size and experience
   • Non-functional requirements
   • Timeline constraints

2. Researches best practices:

   • Searches for current industry standards (2026)
   • Identifies emerging patterns
   • Notes anti-patterns to avoid
   • Finds technology-specific considerations

3. Recommends architecture paradigm from 14 available options:

   • Layered Architecture
   • Functional Core, Imperative Shell
   • Hexagonal (Ports & Adapters)
   • Modular Monolith
   • Microservices
   • Service-Based Architecture
   • Event-Driven Architecture
   • CQRS + Event Sourcing
   • Serverless
   • Space-Based Architecture
   • Pipeline Architecture
   • Microkernel Architecture
   • Client-Server Architecture

4. Customizes templates based on chosen paradigm

5. Creates Architecture Decision Record (ADR) documenting the choice

When to Use This vs project-init

Scenario	Command
Architecture already decided	/attune:project-init
Need architecture guidance	/attune:arch-init
Exploring multiple architectures	Use Skill(archetypes:architecture-paradigms) first
Quick setup with defaults	/attune:project-init

Workflow

# 1. Invoke skill to guide architecture-aware initialization
Skill(attune:architecture-aware-init)

# 2. The skill will:
#    - Gather project context
#    - Research best practices online
#    - Recommend paradigm based on decision matrix
#    - Customize templates for chosen paradigm
#    - Create ADR

# 3. After architecture selected, initializes project
python3 plugins/attune/scripts/attune_arch_init.py \
  --name my-project \
  --lang python \
  --arch hexagonal

Arguments

• --name <name> - Project name
• --lang <language> - Project language (python, rust, typescript)
• --arch <paradigm> - Architecture paradigm (e.g., hexagonal, functional-core, cqrs-es)
• --accept-recommendation - Accept recommended architecture without prompting
• --skip-research - Skip online research phase (use decision matrix only)

Architecture Decision Matrix

The command uses a decision matrix based on team size and domain complexity:

Team Size	Simple Domain	Moderate	Complex	Highly Complex
< 5	Layered	Layered/Hexagonal	Hexagonal	Functional Core
5-15	Layered	Modular Monolith	Modular Monolith	Hexagonal + FC
15-50	Modular Monolith	Microservices	Microservices	CQRS/ES
50+	Microservices	Microservices	Event-Driven	Space-Based

Examples

Example 1: Web API for Fintech

/attune:arch-init --name payment-service --lang python

Interactive flow:

Project type: Web API
Domain complexity: Highly Complex (fintech regulations)
Team size: 8 engineers
Requirements: Audit trails, security, compliance

Research results:
- CQRS/Event Sourcing recommended for audit requirements
- Hexagonal also suitable for clean separation

Recommended: CQRS + Event Sourcing
Rationale: Complete audit trail via event log, complex business rules...

Accept recommendation? [Y/n]: y

Creating project structure for CQRS/ES architecture...

Example 2: CLI Tool with Explicit Architecture

/attune:arch-init --name my-cli --lang python --arch functional-core

Creates Functional Core, Imperative Shell structure:

my-cli/
├── src/
│   └── my_cli/
│       ├── core/           # Pure business logic
│       │   ├── domain.py
│       │   ├── operations.py
│       │   └── commands.py
│       └── adapters/       # Side effects
│           ├── cli.py
│           ├── filesystem.py
│           └── config.py
├── tests/
├── docs/
│   └── adr/
│       └── 001-functional-core-architecture.md
└── ...

Output

After completion, you'll have:

1. Project structure customized to chosen architecture
2. Configuration files with architecture-appropriate settings
3. ADR document explaining the architecture choice
4. Links to paradigm skill for implementation guidance

Related Commands

• /attune:project-init - Standard initialization (when architecture is decided)
• /attune:brainstorm - Explore project needs before architecture selection
• /attune:war-room - Multi-expert deliberation for complex decisions

Related Skills

• Skill(attune:architecture-aware-init) - Full architecture-aware flow
• Skill(archetypes:architecture-paradigms) - Paradigm selection guide
• Skill(archetypes:architecture-paradigm-*) - Specific paradigm implementation