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Home/Cloud & DevOps/We built a searchable database of 25K verified engineering fixes โ€” here's why
โ˜๏ธCloud & DevOps

We built a searchable database of 25K verified engineering fixes โ€” here's why

Every developer has spent hours debugging an error that someone else already solved. Stack Overflow is fragmented. GitHub issues are buried. AI models hallucinate fixes. We built FIXGRAPH to fix this. FIXGRAPH is a searchable database of 25,000+ verified engineering fixes, indexed by error message a

โšกQuick SummaryAI generating...
J

Jawdat Nassar

๐Ÿ“… Mar 21, 2026ยทโฑ 2 min readยทDev.to โ†—
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Dev.to

https://dev.to/jawdat6/we-built-a-searchable-database-of-25k-verified-engineering-fixes-heres-why-bm4
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Every developer has spent hours debugging an error that someone else already solved. Stack Overflow is fragmented. GitHub issues are buried. AI models hallucinate fixes.

We built FIXGRAPH to fix this.

What it is

FIXGRAPH is a searchable database of 25,000+ verified engineering fixes, indexed by error message and technology stack. You search for your error โ€” Prisma connection refused, Docker OOM, Vercel deploy failed, Redis ECONNREFUSED โ€” and get step-by-step solutions that actually worked, with trust scores.

Live: https://fixgraph.netlify.app

Why we built it

Two reasons:

1. Human debugging is repetitive. The same 500 errors account for 80% of engineering time lost. Every team rediscovers them from scratch.

2. AI agents need verified fixes, not hallucinated ones. When a coding agent hits an unknown error, it guesses. We wanted to give it a lookup table of what actually works.

The MCP server

The most useful part: we published FIXGRAPH as an MCP (Model Context Protocol) server so AI coding agents can query it mid-task.

npx fixgraph-mcp

Wire it into Claude, Cursor, or any MCP-compatible agent. When it hits a known error, it looks up the verified fix instead of hallucinating.

{
  "mcpServers": {
    "fixgraph": {
      "command": "npx",
      "args": ["-y", "fixgraph-mcp"]
    }
  }
}

What's in the database

  • 25,009 issues covering Prisma, Docker, Redis, Vercel, PostgreSQL, Next.js, AWS, and more
  • 25,047 fixes with step-by-step solutions
  • 4,962 verifications โ€” community-confirmed working fixes
  • Trust scores on every fix
  • Full-text + semantic search

How to use it

As a developer: Search by error message at https://fixgraph.netlify.app

As an AI agent: npm install fixgraph-mcp and add to your MCP config

What's next

  • Rate-limited API for high-volume agent usage
  • Dataset exports for teams training on engineering knowledge
  • Submission pipeline so teams can contribute their own fixes

If you've ever spent 3 hours on an error that had a 5-minute fix somewhere on the internet โ€” this is for you.

Try it: https://fixgraph.netlify.app
MCP package: npm install fixgraph-mcp

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