要解决的问题The problem
AI 编程工具擅长生成代码，但真实交付还需要验收标准、人工审批、测试、安全审查、部署和项目记忆。AI coding tools are good at generating code, but real delivery also needs acceptance criteria, human approval, tests, security review, deployment and project memory.
实现思路Approach
用本地控制台把需求、执行、审批、质量门和记忆组织成一条可观察、可暂停、可恢复的交付链路。A local console organizes requirements, execution, approval, quality gates and memory into one delivery pipeline that can be observed, paused and resumed.
公开证据Public evidence
- 公开实现项目工作区、运行监控、待审批事项和实时日志Publicly implements project workspaces, run monitoring, pending approvals and live logs
- 聚合 CLI、测试、运行队列、成本与生产健康检查Aggregates CLI, tests, run queue, cost and production health checks
- 仓库包含 27 个 Vitest 测试文件，并提供 test、coverage、smoke 与 audit 脚本The repository contains 27 Vitest test files, with test, coverage, smoke and audit scripts
当前限制Current limits
- 当前以本地单机工作流为主Currently focused on a local, single-machine workflow
- 公开仓库尚未发布稳定版本与正式许可证The public repository has not yet published a stable release or a formal license