Automated Microservice Pattern Instance Detection Using Infrastructure-as-Code Artifacts and Large Language Models
📰 ArXiv cs.AI
Automated detection of microservice pattern instances using infrastructure-as-code artifacts and large language models
Action Steps
- Analyze infrastructure-as-code artifacts to extract relevant information
- Utilize large language models to identify microservice pattern instances
- Integrate detected pattern instances into software architecture documentation
- Continuously monitor and update documentation to prevent knowledge vaporization
Who Needs to Know This
Software engineers and architects on a team can benefit from this approach to detect and document microservice pattern instances, improving architecture knowledge preservation and reducing knowledge vaporization
Key Insight
💡 Large language models can be used to automatically detect microservice pattern instances from infrastructure-as-code artifacts
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🤖 Automate microservice pattern detection with IaC artifacts & LLMs!
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