WHY CHOOSE LOOM
Why LOOM?
Your IDE shows you files. Your debugger shows you execution. LOOM shows you the system—how everything connects, what depends on what, and what breaks when you change something.
The Problem We Solve
You've inherited a codebase. Or maybe you built it, but that was three years and 200,000 lines ago. Either way, you're staring at the same question every developer eventually faces:
"What happens if I change this?"
You grep through the code. You find some callers. You miss the indirect ones—the ones that go through three layers of abstraction. You make your change. Something breaks in production. It was called from a module you didn't even know existed.
This isn't a skill problem. It's a visibility problem. You can't reason about what you can't see.
What Makes LOOM Different
Three capabilities that change how you understand code.
Complete Relationship Mapping
Not just "who imports this file"—who calls this function, what that function calls, and every link in between. Direct dependencies. Transitive dependencies. The full graph.
When you select a function in LOOM, you see every path that leads to it and every path that leads from it. No more grep-and-guess.
Learn about analysis depthArchitectural Truth
Your documentation says the authentication service talks to the user service through the API gateway. Does it? LOOM shows you what actually happens—not what someone wrote in a wiki two years ago.
Clusters emerge from real coupling. Boundaries reveal themselves. You see the architecture that exists, not the one you planned.
Compare to static analysisImpact Before Change
Before you refactor that utility function, know that 47 callers depend on it—and three of them pass null where your new signature expects an object. Before you touch it, not after.
Blast radius analysis isn't a nice-to-have. It's the difference between confident refactoring and production incidents.
See performance dataThe Visibility Advantage
Most developer tools optimize for writing code. IDEs help you type faster. Linters catch syntax errors. Debuggers step through execution.
None of them show you the system. None of them answer: "How does this piece fit into the whole?"
LOOM fills that gap. When you can see your codebase as a living graph of interconnected elements—functions calling functions, classes depending on classes, data flowing through layers—you develop a fundamentally different kind of understanding.
You stop navigating files and start navigating relationships.
Why AI Coding Tools Need LOOM
Copilot, Claude, ChatGPT, Cursor—they're transforming how we write code. But they share a fundamental limitation: they can't see your codebase.
Ask an AI to refactor a function. It'll suggest changes that look reasonable. But it doesn't know that 50 other functions call this one, some passing null where you're now requiring an object. It doesn't know your team's patterns, your architectural conventions, or the implicit contracts that keep your system running.
The result? AI-generated code that works in isolation but creates problems in context. Code that compiles but breaks contracts. Suggestions that are technically correct but architecturally wrong.
LOOM bridges the context gap.
Export your dependency graph. Feed it to your AI. Now it knows what calls what, what depends on what, what would break if what changed. AI suggestions become architecture-aware. Refactoring becomes safe.
Who Uses LOOM
New Team Members
Stop spending weeks reading code file-by-file. See the architecture in hours. Understand how systems connect before you touch them. Onboarding drops from months to days.
Senior Engineers
Validate your mental model. See if the codebase matches what you think it does. Find the coupling you suspected. Confirm the boundaries you hoped existed. Or discover they don't.
Tech Leads & Architects
Make architectural decisions with actual data. See where complexity concentrates. Identify the 5% of code that 95% of your system depends on. Plan migrations with full impact analysis.
Legacy System Maintainers
That system nobody understands? Map it. The undocumented codebase from 2015? Visualize it. Find the safe extraction points. Identify what can be strangled and what must be preserved.
AI-Assisted Developers
Give your AI tools the context they lack. Export architectural data to Copilot, Claude, or ChatGPT. Get suggestions that respect your patterns, not generic code from training data.
Security Auditors
Trace data from user input to database. Find every endpoint. Map which code handles sensitive operations. See what a vulnerability's blast radius actually is.
Our Approach to Code Intelligence
We built LOOM because we needed it. After years of working with AI on complex codebases, we kept hitting the same wall: the AI couldn't see the system. It could generate code, but it couldn't understand architecture. It could suggest refactors, but it couldn't predict impact.
So we built the tool we needed. LOOM scans your codebase once and extracts everything: functions, classes, imports, calls. It builds a graph of relationships. It renders that graph in 3D so you can actually see it. And it exports structured data that AI tools can consume.
The methodology behind this—how to think with AI, how to maintain human oversight while leveraging machine capability—is documented in our white papers. Start with Cognitive Mirror if you want the foundational framework.
See Your Codebase Differently
The difference between navigating files and navigating relationships is the difference between guessing and knowing. Try LOOM and see what you've been missing.
Free tier available. No credit card required.