Incremental Modernization through CodeConcise
summary
Modernization work claims a 70–80% failure rate and pursues a different path by combining deterministic analysis with Generative AI to produce actionable slices. CodeConcise ingests code with AST parsers, stores structure in graph/vector databases, creates embeddings and uses graph RAG plus LLMs to generate functional summaries, map code to a business capability hierarchy, expose source snippets, and report structural and semantic validity metrics so teams can benchmark, retry, and trace every generated decision.
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chapters (4)
- 0:00Modernization challenges
- 8:06CodeConcise introduction
- 19:09GenAI tool challenges
- 39:27Nondeterminism and transparency
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