Building with Claude: A Hands-On Guide for Engineers

As AI-assisted development workflows evolve, developers increasingly need practical ways to integrate LLMs into real applications. Claude provides a powerful interface for building structured, context-aware workflows directly through APIs and developer tooling.

In this session, we will explore how to use Claude effectively as a developer endpoint, starting from setup and API integration to advanced concepts like system prompts, context management, tool usage, streaming responses, and structured outputs. The session will focus entirely on Claude-based workflows and demonstrate practical approaches for building AI-powered applications using core GenAI principles.

This is a hands-on, developer-focused session designed to help engineers build reliable and efficient workflows using Claude.

Key Takeaways:

• Setup & First API Call – getting started with Claude as a developer
• Prompt Engineering – using system prompts effectively
• Multi-turn Conversations – managing context and memory
• Tool Use & Function Calling – integrating external capabilities
• Streaming & Structured Output – building responsive AI workflows
• Practical GenAI Principles – applying Claude in real-world use cases

Prerequisites:

• Ability to code in Python

Chandrashekar is the CEO at Native AI and a technology leader with deep expertise across software architecture, cloud systems, AI/ML, and product engineering.

Over the years, he has led large engineering teams, built scalable enterprise platforms, and worked extensively across distributed systems, cloud infrastructure, and intelligent automation.