LEGACY MODERNIZATION

That Codebase Nobody Understands? LOOM Does.

Name: LOOM Legacy Modernization
Brand: LOOM

Fifteen years of code. Zero documentation. The original developers are gone. Sound familiar? LOOM makes the invisible visible.

[IMAGE: Transformation sequence. Left: chaotic code files, spaghetti architecture diagram, confused developers. Middle: LOOM scanning animation. Right: clear DataVerse visualization showing clean modules, identified dependencies, safe extraction points highlighted.]

The Legacy Modernization Trap

You know you need to modernize. But how do you modernize what you don't understand?

The "Rewrite" Trap

[IMAGE: Calendar showing months passing, budget depleting, features incomplete. The rewrite that never ends.]

Two years and $2 million later, the rewrite has half the features. You didn't understand what the old system actually did.

The "Careful Refactor" Trap

[IMAGE: Developer changes one line. Red alerts everywhere. Production is down. Roll back.]

Change something small. Production breaks. Roll back. You didn't see the hidden dependencies.

The "Leave It Alone" Trap

[IMAGE: Modern code wrapped around a black box labeled "LEGACY - DO NOT TOUCH". The black box is growing.]

Too risky to touch. Build around it. Now you have two systems. Technical debt doubled.

LOOM Breaks the Trap

The problem isn't modernization. It's visibility. You can't modernize what you can't see.

LOOM scans your legacy codebase—no documentation required—and shows you exactly what you're working with. Real architecture, not outdated diagrams. Real dependencies, not assumptions.

Visibility first. Then modernization becomes possible.

[IMAGE: Before/After. Before: Developer with "?" over their head staring at code. After: Same developer confidently pointing at LOOM visualization, explaining the architecture to their team.]

How LOOM Enables Modernization

1. Scan Everything

Point LOOM at the legacy codebase. No configuration, no documentation required. LOOM parses what's there, not what someone said was there.

[SCREENSHOT: LOOM scanning a massive legacy directory. Progress bar. Stats appearing: "Found: 2,847 files • 1.2M lines • 15,432 relationships..."]

2. See Real Architecture

The DataVerse reveals actual structure. Not the architecture diagram from 2010—the architecture that exists today. Clusters show natural boundaries.

[SCREENSHOT: DataVerse showing clear module clusters with labels. Some clean, some tangled. The tangled areas are obvious.]

3. Find Hidden Dependencies

That utility file everyone forgot about? It's called from 200 places. That "dead" module? It's holding the reporting system together.

[SCREENSHOT: Dependency view showing a small utility file with many incoming connections—revealing hidden critical code]

4. Identify Safe Extraction Points

LOOM finds natural seams—code with minimal external dependencies that can be extracted cleanly. Start modernization where the risk is lowest.

[SCREENSHOT: DataVerse with extraction candidates highlighted. Modules scored by external dependency count—low-dependency modules marked safe to extract, high-dependency modules marked high risk.]

What LOOM Discovers

Hidden Entry Points

Functions called from external systems, scheduled jobs, or obscure integrations. The paths into your system you didn't know existed.

[IMAGE: Entry point map showing HTTP, cron, queue, and mysterious "unknown" callers]

Actually Dead Code

Code with zero inbound connections. Safe to delete. Clear the clutter before you modernize.

[IMAGE: Dead code highlighted in DataVerse - isolated nodes with no connections]

Zombie Code

Code that looks dead but isn't—called only from tests, build scripts, or dynamic invocation. Not safe to delete.

[IMAGE: "Zombie" code with warning badge - "Called only from tests - verify before removing"]

Central Hubs

The 5% of code that 95% of the system depends on. Know where the critical paths run.

[IMAGE: Heat map showing most-connected modules glowing hot]

Circular Dependencies

The tangled knots that make extraction impossible. Identify them so you can cut them first.

[IMAGE: Circular dependency detected - A calls B calls C calls A - highlighted in red]

Implicit Contracts

Functions that return specific shapes or throw specific errors that callers depend on. The undocumented API.

[IMAGE: Function signature with inferred contract: "Callers expect {id, name, created} or throws AuthError"]

Modernization Patterns LOOM Enables

Strangler Fig

Gradually replace legacy with new code. LOOM identifies which legacy components have the fewest tendrils—extract those first.

[IMAGE: Legacy system with one module "strangled" - replaced by new code while others remain]

Branch by Abstraction

Create abstraction layers around legacy code. LOOM shows where the boundaries should go based on actual usage patterns.

[IMAGE: Abstraction layer being inserted between modules - LOOM shows the optimal cut point]

Microservice Extraction

Pull out bounded contexts as services. LOOM finds the contexts—clusters of code that talk to each other more than to the rest.

[IMAGE: Natural cluster identified in DataVerse - "This group could be a service"]

Stop Fearing the Legacy Codebase

Understanding is the first step to modernization. LOOM gives you that understanding—usually within hours, not months. See your legacy code clearly for the first time.

[IMAGE: Complete legacy system visualized in DataVerse. Clear module clusters with color-coded health indicators. Extraction candidates highlighted in green with risk scores. Circular dependencies flagged in red. Dead code isolated at the edges. A modernization roadmap that's actually based on reality, not outdated documentation.]

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