AI agents are no longer science fiction. From autonomous code reviewers to self-healing infrastructure, discover how agentic AI is reshaping the way we build and maintain software in 2025.
When building AI-integrated services, framework choice matters. Here's why FastAPI's async nature, automatic OpenAPI docs, and Pydantic integration made it my go-to for ML-powered APIs.
Choosing between linear chains and cyclic graphs for AI orchestration? I break down when to use LangChain's simplicity versus LangGraph's stateful, cyclical power for complex agent workflows.
Traditional REST APIs are hitting limits. Explore how agentic APIs combine LLM reasoning with structured endpoints to create self-directed, context-aware backend services.
Building an AI-assisted ERP system taught me more than any tutorial. From designing agent-based inventory workflows to handling real-world edge cases, here are the production lessons I learned.
Schema-per-tenant, row-level security, or shared-everything? A practical walk-through of the tradeoffs I've made across three real multi-tenant systems — and the migration scars to prove it.
Token-by-token streaming makes LLM apps feel alive. Here's a minimal, production-ready setup using FastAPI, SSE and a tiny React hook — no websockets, no headaches.