Case Study

FRYTAG in Practice:
University & Industry

We at FRYTAG.AI have built the FRYTAG core engine — the Learning Code Knowledge Graph — and continuously improve it: developed and scientifically evaluated in close collaboration with Hochschule Albstadt-Sigmaringen in Germany, validated with industry partners under ZIM funding, and now in continuous dogfooding on real repositories.

The Collaboration

Three partners, one mission

Developer

FRYTAG.AI

25 years of enterprise legacy modernization as a company. Creator and methodologist of the FRYTAG Toolchain — the core engine is built and continuously dogfooded on real repositories.

Research

Hochschule Albstadt-Sigmaringen

Applied sciences university focusing on AI methods and Large Language Models in software engineering. Scientific evaluation and quality criteria development.

Industry Partner

Manufacturing Enterprise

Large-scale production company with Java/JEE legacy systems. Provides the real production environment for pilot validation and direct benefit.

The FRYTAG Process

Five phases, one workflow

Each phase of FRYTAG is validated under real industrial conditions, with insights feeding directly back into toolchain improvement.

1

Identify

AI-powered analysis of legacy codebases to identify natural module boundaries and prioritize modernization candidates.

2

Reverse-Engineer

Automatic derivation of functional specifications from legacy code and system observation — producing stakeholder-ready documentation.

3

Cover

AI-based automated test generation from the approved specification, integrating existing legacy tests to build a full coverage baseline.

4

Isolate

AI agent-driven refactoring and module isolation, working test-driven against the generated suite, detecting and correcting regressions autonomously.

5

AI Development & Validation

Integration of FRYTAG into the SpecKit development workflow, measuring productivity gains, quality improvements, and practical applicability.

What's next

From prototype to production.

FRYTAG is not just a toolchain — it's a living methodology, continuously sharpened by academic rigor and real-world enterprise challenges. Join us on this journey.