Orchestrate AI Agents Up to 5.3x Faster with SPOQ
Coordinate multiple AI coding agents to build software in parallel, with quality gates that catch errors before they ship. See the benchmark results.
Pipeline Overview
Four-stage process from epic planning through agent validation
Define goals and decompose into tasks
Run parallel agent swarms on tasks
Ready for integration
AI Agent Orchestration Innovations
Multi-agent AI development creates three hard problems: code conflicts, inconsistent quality, and humans locked out of critical decisions. SPOQ solves all three.
AI Agent Hierarchy: Worker, Reviewer, Investigator
Three specialized tiers, each optimized for its role so you get the right capability at the right cost.
| Tier | Model | Role | Tradeoff |
|---|---|---|---|
| Worker | Claude Opus | Execute complex implementation tasks requiring deep reasoning and code generation | Highest capability for difficult tasks |
| Reviewer | Claude Sonnet | Validate completed work against quality metrics with balanced analysis | Balanced cost and depth for thorough review |
| Investigator | Claude Haiku | Rapid codebase exploration and information gathering before task execution | Fast and economical for lightweight tasks |
Design Principles
Five engineering constraints that keep multi-agent orchestration predictable and auditable.
Deterministic Quality
SPOQ uses structured rubrics with explicit criteria to reduce subjectivity in quality assessment. Metric reliability is an area of ongoing research.
Explicit Dependencies
All task relationships are declared upfront in structured YAML. The orchestrator builds a directed acyclic graph (DAG) to determine safe parallel execution order.
Atomic Task Boundaries
Each task represents a single, well-defined unit of work. Clear boundaries enable independent validation and prevent scope creep during execution.
Fail-Fast Validation
Quality checks run immediately after task completion. Failed validations halt the pipeline early, preventing wasted computation on dependent tasks.
Transparent Provenance
Every decision, validation score, and output traces back to its source. Complete audit trails enable debugging and continuous methodology improvement.
Frequently Asked Questions
Quick answers about how SPOQ orchestrates AI coding agents.