SPINE: A Personal Operating System and Process Framework for AI-Assisted Development

SPINE is a reusable AI-assisted development process framework designed to solve problems such as repeated process construction and AI amnesia faced by independent developers and small teams when using AI programming assistants. It provides delivery workflows, skill governance, quality guardrails, and a memory bank structure, supporting multiple tools like Cursor, OpenCode, and Claude Code. Its core positioning is an "Agent running skeleton framework", emphasizing predictable execution, low coupling, and pragmatic quality control.

With the popularization of AI programming assistants (such as Cursor, Claude Code, OpenCode), the productivity of independent developers and small teams has improved, but new problems have also emerged: each project requires re-establishing workflows, quality standards, and knowledge management systems, leading to the pain of repeated construction when maintaining multiple projects; AI assistants lack continuous memory, requiring re-introduction of context in each new session, which seriously affects efficiency. The SPINE framework was born for this reason—it was initially a personal operating system and is now open-sourced to share, providing reusable process infrastructure.

SPINE is defined as an "Agent running skeleton framework" that centrally manages four dimensions: delivery workflows (modified based on GitFlow), skill governance (minimized permission lists and controlled trials), quality guardrails (test-first validation), and memory bank (structured storage of context and decisions). Its design philosophy follows principles such as simplicity first, minimal but mandatory rules, project-based opt-in, quality evidence, and transforming experience into standards, reflecting pragmatic engineering thinking.

Project Structure: Uses a layered structure, including directories like templates/docs (memory, governance, quality, workflow templates), commands, modes, skills, rules, etc.

Installation and Configuration: Global installation via git clone and scripts, creating symbolic links; project-level opt-in requires creating an opencode.json file that references the rules URL.

Core Rule System: 6 core documents (core protocol, memory bank, handover protocol, code quality, testing, GitFlow).

Command System: Command templates covering project initialization, task management, and version control.

Mode Definition: Two modes: ASK (thinking partner) and BUILD (execution).

Skill Governance: Activate the skills required for the current project, limiting the number of active skills (5-8).

Delivery Workflow: A personal development cycle modified based on GitFlow.

Multi-Tool Support: Compatible with tools like Cursor and Claude Code.

SPINE is particularly suitable for the following scenarios: independent developers (needing consistent processes for multi-project maintenance), small teams (without dedicated DevOps needing out-of-the-box best practices), heavy users of AI-assisted development (needing unified workflows for multiple tools), and those pursuing predictable delivery (avoiding chaos and establishing repeated high-quality processes). Its value lies in solving the AI amnesia problem, establishing knowledge continuity, providing quality guardrails, and creating reusable process assets.

SPINE explores the focus areas of human developers in AI-assisted development: processes, architectural decisions, and knowledge management. It does not provide code generation capabilities, but instead offers more effective context and constraints to solve AI amnesia, prevent the accumulation of technical debt, and avoid repeated process construction. With the popularization of AI programming assistants, similar frameworks may become standard components of toolchains, and future development may shift to "orchestrating AI assistants"—SPINE provides infrastructure for this new paradigm. For AI development users, SPINE is a validated starting point—thoughtful and battle-tested.