Python

The Anthropic Agent SDK transforms Claude from a chat interface into a production agent that manages its own loop, handles tool calls, and persists state across…

Full parameter fine-tuning of Large Language Models (such as Llama 3 70B or Qwen 2.5) requires updating billions of weights, demanding massive GPU clusters with…

Connecting Large Language Models to backend databases and business logic requires strict type safety. Receiving unstructured prose or malformed JSON breaks appl…

When developers migrate from prototyping with raw LLM API calls to embedding autonomous agent workflows into production services, they quickly run into an infra…

This guide is for Python developers who can write functions and run pytest but have not structured an agent service. By the end, you can scaffold a small reposi…

Building production-grade Autonomous AI Agents requires moving beyond linear Directed Acyclic Graphs (DAGs) and prompt chaining. Real-world tasks — such as auto…

Executing long-running computations — such as generating PDF invoices, processing video uploads, or sending transactional email batches — inside synchronous web…