🚀 AI Agent Setup for Developers with Ritesh Lavti

Turn AI into your daily engineering teammate—not just a coding chatbot.

In this 1:1 hands-on session, we'll build a practical AI-powered development workflow tailored to your role, codebase, tech stack, and the way you actually work.

The goal isn't to show you another list of AI tools. We'll identify where AI agents and coding assistants can genuinely save you time—from understanding an unfamiliar codebase to implementing features, debugging issues, writing tests, and shipping changes.

What we'll cover

🤖 AI Agents & Agentic Development

Understand how AI agents work and how to use them for real engineering tasks—not just one-off prompts.

💻 AI Coding Assistants

Learn practical workflows with Claude Code, Codex, Cursor, GitHub Copilot, and similar tools for coding, refactoring, code exploration, and implementation.

🧠 Codebase Understanding & Exploration

Use AI to navigate unfamiliar repositories, understand architecture, trace code paths, find dependencies, and get productive in a new codebase faster.

⚡ AI-Powered Development Workflow

Use AI across the development lifecycle—from requirement → design → implementation → testing → debugging → PR.

🐞 Debugging & Root-Cause Analysis

Learn how to use AI agents to investigate bugs, analyze logs and stack traces, trace failures across services, and accelerate RCA.

🧪 Testing & Code Quality

Use AI to generate meaningful tests, identify edge cases, improve coverage, refactor safely, and review implementation quality.

🔧 Build Your Personal AI Stack

We'll identify the right combination of AI tools, agents, skills, MCPs, prompts, and workflows for your specific development environment.

🎯 What you'll leave with

• A practical AI workflow tailored to your development role
• Clear understanding of where agents vs. coding assistants vs. traditional AI chat fit
• Recommended tools and setup for your tech stack
• Reusable workflows for coding, debugging, testing, and codebase exploration
• An actionable roadmap for becoming a more AI-native developer

This is not a generic AI tutorial. It's a hands-on session focused on making AI useful in your actual day-to-day engineering work.