strategy-scaling-architecture
Architectural planning and scaling for spectre-build, covering GUI, server layers, multi-model support, and industrial pipeline orchestration.
Introduction
This skill provides a structured framework for evolving the spectre-build CLI tool into an industrial-grade product. It focuses on breaking the 'three walls' that hinder scaling: a monolithic god-module architecture, print-coupled output, and synchronous execution limitations. Targeted at developers and architects working on the spectre-labs ecosystem, this skill guides the transition from script-based execution to robust service-oriented architecture.
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Orchestrates the transition from CLI-bound execution to a modular PipelineOrchestrator, enabling support for web interfaces, API integration, and headless operations.
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Implements an asynchronous event bus system to replace stdout printing with structured event streams, facilitating real-time telemetry, live steering, and GUI integration.
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Provides strategies for multi-model abstraction, enabling seamless switching between LLM backends and custom completion strategies like FunctionCallCompletion or ExitCodeCompletion.
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Supports the development of advanced features including adversarial code review, automated validation cycles, and complex pipeline chaining.
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Facilitates industrial-grade scalability through multi-tenant support, server-layer implementations (REST/WebSocket), and persistent state stores (SQLite/Postgres).
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Enables node-based pipeline editing and complex scheduling via crons, webhooks, and asynchronous subprocess handling.
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Use this skill when planning product-wide architectural shifts, adding new model adapters, or optimizing the build loop for complex, long-running tasks.
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Inputs typically include scope documents, architecture diagrams, and system requirements, while outputs involve refined pipeline configuration (YAML), new service modules, and structural refactoring plans.
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Requires familiarity with Pydantic for data validation, asynchronous Python programming (asyncio), and existing spectre-build pipeline logic (executor.py, stage.py).
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Adhere to the established phased development path: Foundation Extraction, Model Abstraction, Server Layer development, Live Steering, Adversarial Reviews, and Telemetry integration.
Repository Stats
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- Open Issues
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- Language
- Python
- Default Branch
- main
- Sync Status
- Idle
- Last Synced
- May 3, 2026, 08:13 PM