AI-Powered Software Development with Cursor, Claude Code & Agentic AI
Artificial Intelligence
This 1-day workshop is designed for software developers who want to accelerate application development using modern AI coding assistants and Agentic AI techniques. Participants will learn how to use AI-powered development environments to generate code, refactor applications, automate testing, analyze codebases, build AI agents, and improve software delivery productivity.
Duration: 1 days / 8 hours
Delivery Method: Classroom-based, Virtual Instructor Led Training
COURSE OBJECTIVES
By the end of this workshop, participants will be able to:
· Understand the fundamentals of AI-powered software development and the role of Agentic AI in modern engineering workflows.
· Apply prompt engineering techniques to effectively communicate requirements and development tasks to AI coding assistants.
· Utilize AI-powered development tools such as Cursor to generate code, refactor applications, create documentation, and accelerate software delivery.
· Leverage autonomous coding platforms such as Claude Code to analyze repositories, implement features, and improve code quality.
· Design and work with AI agents that can plan, execute tasks, use tools, and maintain context throughout the software development lifecycle.
· Automate software testing activities, including test case generation, unit test creation, integration testing, and edge-case discovery using AI.
· Integrate AI-assisted workflows into daily development practices to improve productivity, reduce development time, and enhance software quality.
· Evaluate best practices, limitations, and human oversight requirements when using AI and Agentic AI for software engineering.
COURSE OUTLINE
Module 1: Introduction to AI-Powered Development
· Evolution of AI-Assisted Software Development
· Understanding Agentic AI for Developers
· Modern AI Coding Workflows
· AI-Augmented Development Lifecycle
· Developer Productivity with AI
Module 2: Prompt Engineering for Developers
· Anatomy of Effective Development Prompts
· Writing Requirements as AI Prompts
· Context-Driven Prompt Design
· Role-Based Prompting for Developers
· Generating Structured Outputs
· Prompt Templates for Development Tasks
Module 3: AI-Powered Coding with Cursor
· Setting Up AI-Assisted Development Environments
· Understanding Codebase Context
· Code Generation Techniques
· Refactoring Legacy Applications
· Code Documentation Generation
Module 4: Autonomous Development using Claude Code
· Agent-Based Software Development
· Repository Analysis and Understanding
· Automated Feature Implementation
· Code Review and Improvement Workflows
Module 5: Agentic AI for Software Engineering
· What Makes an AI Agent
· Planning and Execution Loops
· Tool Usage by AI Agents
· Memory and Context Management
· Human-in-the-Loop Development
Module 6: AI for Testing and Quality Assurance
· Test Case Generation
· Unit Test Automation
· Integration Test Creation
· Edge Case Discovery
REGISTER NOW