Evolving Legacy Solutions
Growing system landscapes and hidden dependencies make further development and modernization harder. With our approach, we use generative AI tools, context and knowledge graphs, agents and retrieval mechanisms to analyze your existing systems and build a solid basis for decisions.
Overview
Why?
Many companies face the challenge of understanding existing software systems and planning their future direction, whether as part of a migration or a modernization. Classic analysis approaches hit their limits here. Documentation is missing, expert knowledge is fragmented, the code has grown over decades.
Why AI?
Generative AI addresses two points. First, it makes it possible to capture and consolidate large codebases and documentation semantically. Second, in combination with knowledge or context graphs, it can surface dependencies and patterns that were previously hidden.
How?
Our approach combines these technological possibilities with sound methodology. Together we define what is to be migrated or modernized, set metrics and evaluation criteria, and then rely on transparency and empirical validation. With LLM support, we create knowledge graphs and, where helpful, automate many migration tasks.
Our Offering
Through our extensive work on AI-assisted review tools, we have the necessary tooling to get moving quickly. With clear goals and tailored tools, we build a solid foundation for modernizations, DDD initiatives or architecture overhauls.
00
Goal Definition
We clarify which subsystems, data domains or applications are to be analyzed, and define measurable goals (e.g. dependency density, module coupling, migration rate).
01
Data & Artifact Ingestion
We collect and prepare relevant artifacts (source code, architecture documents, communication patterns, runtime data). For this we use extraction of dependencies, metadata, context references etc. and represent them in a knowledge graph.
02
Analysis with Generative AI
Depending on the goal, we analyze dependencies, domain or module boundaries, pattern usage or specific risks.
03
Turning Insights into Action
Based on the analysis results, we take the first steps towards modularization, cleaning up technical debt, architecture changes or modernization. For this, we usually develop dedicated agents or multi-agent systems.
04
Ongoing Support
If needed, we also support larger transformations over the long term, ensuring a transparent migration or modernization that proceeds step by step without jeopardizing ongoing operations.