Create a module that orchestrates AI agents using SDD (Spec-Driven Development) workflow, optimizing token usage and

[MaximilianoAcri]

Motivation

SDD (Spec-Driven Development) is an established pattern where:

1. Specs come first - Define requirements before code
2. Tasks break down specs - Decompose into implementable tasks
3. Code satisfies specs - Implementation follows specs
4. Verify against specs - Validation matches specifications

However, AI agents often:

• Skip specs and jump to code
• Use excessive tokens with verbose prompts
• Don't validate against specifications
• Create inconsistent implementations

Proposal

Create a sdd-orchestrator module that:

1. Enforces SDD workflow - Agents must follow spec → tasks → code → verify
2. Optimizes token usage - Efficient prompts, caching, context management
3. Orchestrates sub-agents - Coordinates multiple AI agents efficiently

Token Optimization Strategies

Strategy	Description	Savings
Spec templates	Reuse prompt templates instead of full prompts	~40% tokens
Context compression	Compress historical context	~30% tokens
Delta specs	Only process what changed, not full specs	~50% tokens
Caching	Cache common operations	Varies
Smart delegation	Route to appropriate sub-agent	~20% tokens

Module Features

1. SDD Workflow Enforcement

sz sdd init          # Start new feature with spec
sz sdd propose      # Create proposal
sz sdd spec         # Write detailed spec
sz sdd tasks        # Break into tasks
sz sdd apply        # Implement tasks
sz sdd verify      # Validate against spec

2. Token Management

# Show token usage
sz tokens status

# Optimize current context
sz tokens compress

# Set budget
sz tokens budget --max 100000

3. Agent Orchestration

# Delegate to sub-agent
sz delegate --agent code-reviewer --task "Review PR #123"

# Orchestrate multi-agent
sz orchestrate --flow "spec → code → test → review"

Integration with Existing Modules

Module	Integration
heartbeat	Schedule SDD cycles
skill-library-ce	Load SDD-specific skills
approval-gate	Approve spec changes
context-assembler-ce	Build context efficiently

Token Budget Example

Without optimization:

• Full spec per tick: ~50,000 tokens
• Daily: ~500,000 tokens

With optimization:

• Delta specs only: ~25,000 tokens
• Smart delegation: ~20,000 tokens
• Total savings: ~70%

Why This Matters

SDD ensures:

• ✅ Consistent development process
• ✅ Specs are always current
• ✅ No feature creep
• ✅ Easier maintenance

Token optimization ensures:

• ✅ Reduced costs
• ✅ Faster responses
• ✅ Better context management

Together: efficient, spec-driven AI development.

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Looking to contribute this! Has experience with SDD workflows and token optimization.