Building AI Agents: What They Are & How They Work
Tools, function calling, ReAct loops — agents as autonomous automation workers (Day 13)
Sandip Das
Senior Cloud, DevOps, MLOps & ML Platform Engineer | Heading Cloud, DevOps & MLOps for start-ups | AWS Container Hero | Educator | Mentor | Teaching Cloud, DevOps & Programming in Simple Way
Check out the latest posts
AI-Driven Observability & Log Analysis
Using LLMs to parse logs, correlate alerts, and draft incident summaries automatically (Day 12)
AI for Infrastructure as Code: Terraform & Pulumi
Generating, reviewing, and auditing IaC with AI — practical prompts and pitfalls (Day 11)
AI-Assisted Code Review & Static Analysis
GitHub Copilot, CodeRabbit, and custom review bots — how AI fits into your PR workflow (Day 10)
RAG: Retrieval-Augmented Generation Explained
The architecture pattern that gives AI real knowledge — and why every cloud team needs it (Day 9)
Embeddings & Vector Databases Demystified
What vectors are, why semantic search matters, and how Pinecone/Weaviate/pgvector fit in (Day 8)