AI CODE CONTEXT PLATFORM

The Context Layer for AI Coding Tools

Copilot sees one file. ChatGPT guesses your architecture. Claude hallucinates dependencies. LOOM gives AI coding tools complete codebase understanding—every function, every connection, every relationship mapped and exportable.

Start Using LOOM See the 3D DataVerse

Limited Alpha Access

See Our Technology in Action

Before we open LOOM to the public, we're sharing a free tool that demonstrates our approach: making the invisible visible.

Browser Security Scanner Free

Discover what websites can learn about you through your browser. 25+ security probes analyze your digital fingerprint in real-time—no data leaves your device.

25+ Security Checks 100% Client-Side 0 Data Collected

Launch Scanner →

This is the same technology that powers LOOM's code analysis—applied to browser security.

LIVE DEMO

Fly Through Your Codebase

Watch the 3D DataVerse in action—every node is a function, every connection is a call.

Experience the DataVerse →

The Problem: AI Can't See Your Codebase

Maybe it's a legacy system that's been growing for a decade. Maybe you just joined a new team. Maybe you wrote it yourself six months ago and now it's a stranger.

You search. You scroll. You trace function calls manually. You draw architecture diagrams that become obsolete before the ink dries. You ask the senior dev—but they left last quarter.

You're navigating in the dark.

LOOM turns on the lights. Every function, every connection, every hidden dependency—visible, searchable, explorable. In 3D.

LOOM Builder interface showing the Navigator panel, AI Studio, and project hierarchy with real-time validation

What LOOM Extracts From Your Code

Every scan builds a complete structural map. Here's what LOOM extracts from a mid-sized production codebase.

LOOM Code Scanner showing extracted methods with complexity metrics and call relationships

Functions, Classes, Methods

Every callable extracted with its full signature, file location, and scope chain.

LOOM Code Intelligence showing class dependencies with visual node connections and method details

Call Graphs & Import Chains

Who calls what. What imports what. Traced across files and modules.

LOOM Call Graph Visualization showing dead code detection with color-coded nodes

Dead Code Identification

Functions with no callers. Classes nobody instantiates. Flagged automatically.

Four Components Working Together

Scan. Index. Map. Visualize. Export. Each component feeds the next—and your AI.

The Scanner

Parses code like a compiler. Extracts every function, class, method, and import with full signatures, parameters, and file locations.

[SCREENSHOT: Scanner in action. Progress indicator showing files being analyzed. Real-time stats appearing: "Discovered: 1,247 functions • 89 classes • 4,832 relationships..."]

Explore the Scanner

The Registry

Every extracted element indexed and searchable. Find any function across your codebase. See its callers, dependencies, and scope chain.

[SCREENSHOT: Registry interface. Search bar with instant results. Selected function showing: name, file path, parameters, return type, 12 callers, 5 dependencies, complexity score.]

Explore the Registry

The Dependency Mapper

Traces every call and import. Shows the blast radius before you make changes—every downstream caller that would break.

[SCREENSHOT: Impact analysis view. Selected function with red warning showing caller count and affected files list with severity indicators.]

See Dependency Mapping

The 3D DataVerse

Your codebase rendered as a navigable 3D space. Clusters form around tightly-coupled code. Isolated nodes reveal dead code. Architecture becomes visible.

LOOM DataVerse showing full codebase visualization with distinct clusters and color-coded health indicators

Experience the DataVerse

Why AI Coding Tools Struggle

Copilot, ChatGPT, Claude—they're powerful but blind. LOOM gives them eyes.

The Context Gap

You ask Copilot to refactor a function. It suggests changes that break 47 callers it doesn't know exist.

You ask ChatGPT about your architecture. It confidently describes a system that looks nothing like yours.

You ask Claude to fix a bug. It hallucinates dependencies that don't exist.

LOOM exports your codebase structure in formats AI tools can consume. Every caller, every dependency, every scope chain. Get AI suggestions that actually fit your system.

[IMAGE: Side by side. Left: AI chat with generic response, user frustrated. Right: AI chat with LOOM context panel visible, showing the AI has full codebase awareness—response is specific, accurate, safe.]

Learn About AI Integration

AI PROGRAMMING REVOLUTION

Built for Modern Development Workflows

AI pair programming is changing how software gets built. But today's AI coding assistants—Copilot, ChatGPT, Claude, Cursor—operate with a critical handicap: they can't see your whole codebase.

Export to Any AI

JSON, markdown, or custom formats. Feed LOOM's structural data directly to your AI tools.

Complete Call Graphs

Know exactly what calls what. Give AI the dependency context it needs for safe refactoring.

Scope-Aware Context

Not just functions—full scope chains, module boundaries, and architectural patterns.

Supercharge Your AI Workflow

The Difference LOOM Makes

Without Code Intelligence

[IMAGE: Developer's reality without LOOM. Multiple monitors covered in code. Sticky notes on screen bezels. Architecture diagram on whiteboard (dated 6 months ago, visibly outdated). Browser with 23 tabs of documentation. Clock showing 11:47 PM. Expression: exhausted confusion.]

Hours hunting for functions across files
Changes break things unexpectedly
New developers take months to ramp up
Architecture exists only in tribal knowledge
Technical debt hides until it's critical

With LOOM

[IMAGE: Same developer, different world. Clean desk. Single monitor with LOOM DataVerse showing exactly the code relationship they need. Expression: confident clarity. Clock showing 2:15 PM—same task, fraction of the time.]

Find any element in milliseconds
Know the impact before you ship
New developers explore on day one
Architecture visible to everyone
Technical debt quantified and located

Common Use Cases

[IMAGE: Multi-repository dashboard. Multiple codebases aggregated into one view. Team activity indicators. Repository health scores.]

Multi-Repository Codebases

When your system spans dozens of repositories, LOOM aggregates them into one searchable, navigable map.

Enterprise Solutions

[IMAGE: Legacy code transformation. Chaotic, tangled code on one side flowing through LOOM into organized, visible architecture on the other. The impossible becoming possible.]

Undocumented Legacy Systems

The 15-year-old codebase nobody understands. LOOM maps what's actually there—not what someone thought was there in 2015.

Legacy Solutions

[IMAGE: AI assistant interface enhanced by LOOM. Context panel showing codebase relationships. AI response that demonstrates full architectural understanding.]

AI-Assisted Development

Export structural context to feed AI coding tools. Get suggestions that account for your actual dependencies.

AI Integration

[IMAGE: Security-focused visualization. Data flow paths traced from user input (green) through the system to database (red). Unvalidated paths highlighted. Attack surface visible.]

Data Flow & Security Review

Trace paths from user input to database writes. Find entry points. Identify code that touches sensitive data.

Security Features

Language Support

Full support for JavaScript, TypeScript, and Python today. More languages coming soon.

Currently Supported

JavaScript

TypeScript

Python

Coming Soon

Java

Ruby

Rust

+ More coming

See language roadmap

Not Another Linter. Not Another Diagram Tool.

You've tried static analyzers. You've tried documentation generators. Here's why they're not enough.

Traditional Code Tools

Find patterns. Flag issues. Generate flat documentation. Useful—but they see files, not architecture.

[IMAGE: ESLint or SonarQube output. A list of issues. No relationships. No visualization. Just a list of problems with no architectural context.]

LOOM

Understands structure. Maps relationships. Visualizes architecture. Sees your code the way you wish you could.

[IMAGE: The same codebase in LOOM. 3D visualization showing the architectural context around those same issues. Problems aren't just listed—they're located in the living system.]

See the Full Comparison

PROOF OF CONCEPT

Built by One Developer, Powered by AI

LOOM wasn't built by a team of 50 engineers at a well-funded startup. It was built by one developer, working with AI coding tools, who got tired of flying blind through codebases.

17 gigabytes of functional software. The scanner, the registry, the 3D visualization engine, the dependency mapper—all of it. One person. AI pair programming. And the workflow that makes it possible.

LOOM is both a product of AI-assisted development and a tool to make AI-assisted development better.

Read the Full Story

Free Research Paper

Cognitive Mirror

A Guide to AI-Augmented Thinking, Learning, and Creation

What happens when people learn to truly think alongside AI, and not just use it as tool for quick answers? For us, it led to 17 gigabytes of working software: games, tools, web apps, a custom browser, cybersecurity software, a custody application, Subnet, our own version of Minecraft, and various other experiments as we learned to code with AI. Some of those ideas ultimately bloomed into LOOM—software that helped build itself. But the real discovery wasn't the software. It was the methodology. Now we're sharing The Cognitive Mirror freely—because if we're right about what this means, it shouldn't belong to anyone.

Radical Clarity

Transform vague ideas into precise concepts

Multi-AI Orchestration

Leverage multiple models synergistically

Critical Rigor

Strengthen arguments, uncover hidden flaws

Accelerated Learning

Master complex subjects faster

Read The Cognitive Mirror

Written By: Kenneth Alge

THE INVISIBLE ARCHITECTURE PROBLEM

Every Codebase Has a Secret Structure

Documentation lies. Comments go stale. The developer who understood the system left two years ago. What remains is tribal knowledge—scattered across Slack threads, code reviews, and the memories of people who may have already moved on.

Meanwhile, your codebase grows. Dependencies multiply. That "temporary" workaround becomes load-bearing. And nobody can see the whole picture anymore—because the architecture exists only in the connections between things.

LOOM doesn't document your code. It reveals the architecture that's already there.

Ready to Give Your AI Complete Context?

Stop feeding AI tools incomplete information. LOOM maps your entire codebase and exports it in formats your AI can understand.

Get Alpha Access Try the Browser Scanner

Questions? Email mentalalchemy.io@gmail.com directly.