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Releases: LWTlong/aida

v1.1.0

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@LWTlong LWTlong released this 14 Apr 03:40
  • impacted files/modules: 文档入口与导航、README/中文 README、COMMANDS.md、docs/ 历史文档标注、版本号、以及本轮已完成的 CLI/asset-management/build/import/merge/migrate-dir 相关代码与测试。
  • 数据结构变化: 有,新增并启用了 .aida/skills.json、.aida/tool-configs.json 及对应 build/import 流程;rules.json 继续保留为主数据源。
  • backward compatible: 基本兼容,旧项目可通过 aida migrate-dir 和 aida import 接入。
  • migration or reindex required: 旧 .aidevos 项目需要执行一次目录迁移;一般不需要 reindex。

v1.0.3

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@LWTlong LWTlong released this 27 Mar 08:03

Bug Fixes & Improvements

偏差/缺陷文件自动追踪

  • aida_log_deviation 和 aida_log_bug 调用时自动从 git diff 采集涉及文件,无需手动传入
  • 修复 Dashboard「文件修改热点」图表无数据的问题
  • 修复 KPI 偏差弹窗「涉及文件」列为空的问题

开发时间线需求绑定

  • 所有 timeline 事件(task 开始/完成、review、deviation、bug)自动携带所属 PRD 阶段标识
  • aida_task_start 自动继承 context.currentPrdPhase,口述需求任务也可显示摘要标签

Dashboard UX

  • 缺陷修复弹窗无数据时显示"暂无数据",不再渲染空表格

Compatibility

无 schema 变更,历史数据完全兼容,直接升级即可。

v1.0.2

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@LWTlong LWTlong released this 25 Mar 04:55

What's New

Lingma (通义灵码) Support

  • Added Lingma as supported AI tool in aida init wizard
  • Auto-generates .lingma/mcp.json (MCP config) and .lingma/rules/aida-guide.md (data collection guide)
  • Added Lingma config example in README

Dashboard Empty State Fix

  • Fixed infinite loading when no development data exists
  • Now shows helpful guidance to get started instead of a spinner

Rule Reading Guarantee

  • All AI tools (Claude Code, Cursor, Lingma) now have explicit instruction to read .aidevos/rules/_all.md before development
  • Previously only Claude Code had this instruction — Cursor and Lingma could miss sedimented rules

Bug Fixes

  • aida init now writes npx -y ai-dev-analytics mcp instead of aida mcp, works without global install
  • Added aida -v / aida --version to show current version

Full Changelog

v1.0.0...v1.0.2

v1.0.0: Make Vibe Coding Measurable & Self-Evolving

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@LWTlong LWTlong released this 24 Mar 14:59

We are thrilled to announce the official v1.0.0 release of ai-dev-analytics (AIDA) — an open-source, 100% local Model Context Protocol (MCP) server designed to bring true observability to AI-assisted development.

As developers increasingly rely on tools like Claude Code and Cursor, the development process has become a "black box." We lose track of token consumption, time spent, and most importantly, the deviations and architectural mistakes the AI makes. AIDA is built to solve this.

✨ Core Highlights in v1.0.0

  • 🕵️‍♂️ Transparent Vibe Coding Tracking: Silently runs in the background to capture execution time, token usage, and file modifications across your AI coding sessions.
  • 🧠 Auto-Codifying AI Deviations (Killer Feature): Stop letting your AI repeat the same mistakes. AIDA detects when the AI goes off-track or introduces bugs, and automatically distills these deviations into persistent project rules (compatible with .cursorrules / .clauderules). Your AI actually learns from its failures.
  • 📊 Interactive Local Dashboard: Built with React 19 and ECharts, providing a beautiful, real-time visualization of your development ROI, error rates, and bottlenecks.
  • 🛡️ 100% Local & Secure: Zero runtime dependencies. No external network requests. Your code and analytics never leave your machine. (Verified A/A/A Score on Glama).

🚀 Quick Start

Zero workflow changes required. Integrate AIDA into your MCP-enabled client with a single line:

{
  "mcpServers": {
    "aida": {
      "command": "npx",
      "args": ["-y", "ai-dev-analytics", "mcp"]
    }
  }
}

🤝 Join the Community

This 1.0.0 milestone is just the beginning. If AIDA helps you gain control over your AI workflow, please consider leaving a ⭐ on the repository. We welcome feedback, feature requests, and PRs from the community!