Open-source MCP observability dashboard to stop AI mistakes
The author built an open-source tool called AIDA (ai-dev-analytics) to provide observability and prevent AI from repeating the same mistakes in development workflows.
Why it matters
This tool can help developers using AI-powered coding assistants like Claude or Cursor to gain better visibility and control over their AI workflows.
Key Points
- 1AIDA is a local Model Context Protocol (MCP) server that acts as an observability layer for AI sessions
- 2It automatically distills AI failures into persistent project rules to prevent the same mistakes from happening again
- 3The dashboard is built with React 19, Tailwind CSS 4, and ECharts for real-time visualizations of ROI and bottlenecks
Details
The article discusses two major pain points developers face with AI-assisted development: the 'black box' of not knowing how many tokens are being burned or where the time goes, and 'AI amnesia' where the AI forgets corrections and breaks the codebase again. To solve this, the author built AIDA, an open-source MCP server that provides observability and automatically codifies AI failures into persistent project rules. This allows the AI to learn from its mistakes and stop repeating them. The dashboard is built with modern web technologies like React 19, Tailwind CSS, and ECharts to provide real-time visualizations of resource usage and development bottlenecks.
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