Use Case

Turn Legacy Code Into a Readable Blueprint

Your legacy codebase isn't broken - it's just undocumented. Dockr scans, maps, and explains old code so your team can maintain, refactor, or migrate without fear.

See Your Code Mapped

The Risk

What undocumented legacy code costs you

Critical

The last author left

The engineer who wrote the core module is gone. No one knows why that recursive function exists or what breaks if you touch it.

High

Refactors become rewrite-or-bust

You need to modernize the stack, but no one can map the dependencies. Every change is a gamble. Production incidents spike.

Medium

New hires fear the old code

Developers avoid touching legacy files. Bugs stay unfixed. Technical debt compounds while the team works around it.

The Rescue Process

From black box to blueprint in three steps

Scan

Dockr ingests the entire legacy codebase - even the parts no one has touched in years. It identifies entry points, dead code, and hidden dependencies.

Map

Interactive diagrams reveal how modules connect, which files are critical, and where the technical debt clusters live.

Explain

Every file gets a plain-English summary. That mysterious 800-line function? Now it has a paragraph explaining its purpose and side effects.

The Transformation

What changes when legacy code gets documented

Before

A 6-year-old Python monolith with 200K lines. Zero documentation. The original author left 18 months ago. Refactoring the auth module took 3 weeks and introduced 2 production bugs because no one understood the side effects.

Action

Dockr scanned the entire codebase in 8 minutes. Generated architecture maps, file explanations, and identified 3 unused modules. The team reviewed the auto-generated docs and added business context where needed.

After

The auth module refactor took 4 days with zero incidents. New developers understand the codebase in under a week. The team removed 12K lines of dead code with confidence. Documentation updates automatically with every commit.

Questions about documenting legacy code

Can Dockr handle codebases with no existing documentation?

Yes. Dockr reads the code directly, not existing docs. It works equally well on projects with zero documentation or documentation that's years out of date.

What languages and frameworks does it support for legacy code?

Dockr supports 11+ languages including Java, Python, JavaScript, PHP, Ruby, Go, Rust, and C#. It handles monoliths, monorepos, and microservices.

How does Dockr identify dead code or unused dependencies?

Dockr analyzes import graphs, call trees, and class references to surface potentially unused modules and orphan functions. You still review before removing.

Will this help us plan a migration or rewrite?

Absolutely. The dependency maps and module interaction diagrams give you a blueprint of the existing system - essential for planning any migration strategy.

Stop fearing your own codebase

Book a walkthrough. We'll scan your legacy repository and show you the architecture map and file explanations Dockr generates - no commitment required.

Map Your Legacy Code

7-day trial with 2MB upload after the demo