AI-Native Legacy Recovery Approach: Re-Engineer Mode

Re-Engineer Mode is AI-native reverse engineering—how modern organizations relinquish control of legacy software systems without big-bang rewrites, vendor hostage situations, or years of uncertainty. Basically, you can modernize your software system and keep your operation running.

What You Get

Re-Engineer delivers a clear roadmap, modernization, and ownership
— not just new code.

You receive:

A modern, AI-native foundation

Executable specifications

Verified understanding of system behavior

Incremental, production-safe replacements

Reduced vendor risk

How Reverse Software Engineering Works

Re-Engineer follows a proven AI-native recovery workflow designed for opaque, undocumented, or hostile systems.

01
Extract intent 

Legacy systems encode business logic directly in code.

AI agents:

  • Scan the full repository 
  • Map dependencies and logic flows
  • Reconstruct business intent from implementation

Outcome:
Executable, human-readable specs describing what the system actually does.

02
Map real behavior 

Code shows possibilities. Logs show reality.

AI analyzes production logs to identify:

  • Happy paths (used 90% of the time)

  • Ghost paths (rarely or never used)

Outcome:
Modernization focuses only on functionality that matters.

03
Replace safely 

The legacy system stays live while our team:

  • Place an API facade in front of the monolith

  • Rebuild individual features as AI-native services

  • Route traffic feature-by-feature to the new system

Outcome:
Legacy code is retired incrementally — with no downtime.

Who Executes AI-Native Reverse Engineering

AI-Native Mini-Pod

Principal Architect
Owns legacy strategy, strangler design, and system integrity.
AI Specialist
Runs spec-from-code and behavior analysis workflows.
AI Agents
Rebuild extracted features using spec-driven development.

AI agents execute. Humans control intent and quality.

Explore a Re-Engineer Case Study

What Is the Ideal Use Case for Re-Engineer

Re-Engineer is the right move when rewriting is too risky and recovery matters more than speed.

Best for:Common scenarios:
Understanding a system no one fully knows anymoreBlack-box legacy systems (Cobol, early Java, monoliths)
Reducing dependency on a vendor or legacy teamMissing or unreliable documentation
Modernizing without shutting down productionVendor lock-in or “only we understand it” claims
Regaining ownership of critical business logic

FAQ

Is Re-Engineer a rewrite?

No. It replaces functionality incrementally while the system stays live.

Do we need to shut down production?

No. The legacy system continues running throughout the process.

What if we don’t understand what the system does today?

That’s exactly what Re-Engineer is designed for.

How is this different from standard modernization projects?

Re-Engineer proves intent and behavior before replacing anything.

Can Re-Engineer transition into RACE or Scale later?

Yes. Rebuilt components are AI-native and evolve naturally into RACE and AI-Accelerated Engineering.

Take back control of your legacy system

Talk to our AI-native engineering team

Start a conversation today