A Pragmatic Journey from Monolith to Microservices Powered by AI:GenAI
summary
Shows a concrete migration: extract an inventory tracking microservice from a monolith, generate unit and integration test plans, create a Jira release (0.11.1) and an AI‑tagged ticket, push a GitHub commit and trigger CI. Claims cut a manual 14‑day extraction to 14 days → 7 days using code clustering and dependency analysis from vFunction and agent workflows via CodeMe, plus embeddings/vector indexes feeding LLMs (mentions GPT‑4.1 1M tokens) to produce code suggestions and test code.
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chapters (6)
- 0:00Introduction and monolith challenges
- 3:33Traditional migration pain points
- 7:02GenAI as modernization catalyst
- 14:44Technical feasibility of GenAI
- 19:19Demo and workflow integration
- 24:29Data dependencies and conclusion
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