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engineering-intelligence
Advanced tools
Graph-backed engineering intelligence for AI coding IDEs. Real dependency graphs, MCP server, and installable skills/agents/workflows for 9 IDEs.
Engineering Intelligence gives AI coding assistants a living blueprint of your codebase so they stop guessing, hallucinating, and breaking working code.
When you ask standard AI to write code, it often guesses how your project works. It might change a button and accidentally break your database, or delete code it didn't understand.
Engineering Intelligence acts like an automated lead architect and project manager:
You do not need to be an engineer to use this. Here is the step-by-step guide:
Open your terminal in your project folder and run:
npx engineering-intelligence initialize . --yes
This creates a hidden .engineering-intelligence/ folder that holds the blueprint, memory, and dependency graphs of your application.
Open your project in any supported AI editor:
In your AI chat window, select or mention the single main coordinator:
@engineering-orchestrator
You don't need to remember any complex commands or internal tool names. The orchestrator is the single front door for everything.
Type your request in plain English. For example:
"The checkout submit button isn't giving any feedback or loading spinner when clicked."
"Add an export-to-PDF button on the customer invoice page."
"Optimize the order total calculation to handle large baskets faster."
flowchart TD
User["Your Plain English Prompt"] --> Orchestrator["engineering-orchestrator"]
Orchestrator --> Clarity{"Is the prompt clear?"}
Clarity -->|Vague / Missing Details| Gate["Socratic Gate: Asks you 2-3 friendly multiple-choice questions"]
Gate --> Freezing["Freezes your decisions in requirements"]
Clarity -->|Clear| Blueprint["Reads Dependency Graph & Negative Constraints"]
Freezing --> Blueprint
Blueprint --> Sandbox["Tests Changes in Safe Isolated Sandbox"]
Sandbox --> Verification{"Did all tests pass?"}
Verification -->|Yes| Keep["Keeps change & updates living blueprint"]
Verification -->|No| Revert["Discards failure safely with zero data loss"]
| Command | Best For |
|---|---|
npx engineering-intelligence initialize . --yes | Default recommended setup with auto-detected providers |
npx engineering-intelligence initialize . --providers native --yes | Offline, zero-download deterministic setup using built-in parser |
npx engineering-intelligence initialize . --ide cursor --yes | Explicitly targets a specific editor adapter |
# Check if your project intelligence is healthy and up-to-date
npx engineering-intelligence health . --strict
# Diagnose installation and tool dependencies
npx engineering-intelligence doctor .
# Run test receipts and verify code safety gates
npx engineering-intelligence verify .
# Fast update of the dependency graph after manual file edits
npx engineering-intelligence sync . --files src/index.ts
All intelligence lives safely under .engineering-intelligence/:
knowledge-base/ — Verified documentation and architecture maps.graph/ — dependency-graph.json tracking connections between all modules and symbols.aidlc/ — Project state, requirements, open questions, and backlog tickets.memory/ — Conventions, past decisions, and negative constraints (preventing repeated mistakes).reports/ — Impact and safety audit records.npm ci
npm test # Runs all 242 automated test suites
npm run test:integration
npm run build
Full technical architecture documentation is available in WORKFLOW_GUIDE.md and engineering-intelligence-blueprint.md.
FAQs
Graph-backed engineering intelligence for AI coding IDEs. Real dependency graphs, MCP server, and installable skills/agents/workflows for 9 IDEs.
The npm package engineering-intelligence receives a total of 14 weekly downloads. As such, engineering-intelligence popularity was classified as not popular.
We found that engineering-intelligence demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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