AI & Automation Articles
Engineering notes on LLM integrations, prompt tuning, and agentic workflows.
Overview & Engineering Focus
Artificial intelligence workflows and autonomous agents represent a transformative shift in business automation. In this topic cluster, we cover system design for LLM agent graphs, vector search integrations with pgvector/Pinecone, prompt engineering techniques (ReAct, Chain-of-Thought), token consumption economics, and integrating LLMs securely with production databases and external API tooling.
Core Technical Domains & Competencies:
- Autonomous Agent Architecture & Multi-Step Planning Graphs
- Semantic Search & Retrieval-Augmented Generation (RAG)
- Prompt Engineering, Schema Parsing & Tool Execution Contracts
- Sliding Context Windows & Hierarchical Memory Management
- Cloud Deployment & Asynchronous Event Queues for Long-Running LLM Inferences
Published Articles in AI & Automation
The Architecture of Scalable AI Agents
A comprehensive guide on building, deploying, and monitoring autonomous AI workflows using modern cloud infrastructure.
Reading Time: 12 min read | Tags: LLMs, LangChain, Node.js, System Design, Vector Databases
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