AI-Assisted Programming Foundation

Module 1

AI-powered tools for developers: Overview

Explore AI tools that support software development. Learn when and how to use each tool to optimize your workflow and improve productivity.

• Distinguish between chatbots, AI agents, IDE assistants, and project bootstrappers
• Choose the right AI tool for a given software-development task
• Identify strategies for adopting AI tools to streamline workflows and enhance productivity

• ChatGPT
• AI agents
• IDE assistants
• project bootstrappers

Module 2

LLM prompting techniques for developers

Master foundational prompting methods (zero-shot, few-shot) and advanced techniques like chain-of-thought (CoT), problem decomposition, tree-of-thoughts (ToT), and meta-prompting to solve complex problems step by step.

• Choose the right LLM for a given engineering task
• Control generation with key parameters
• Apply zero-shot and few-shot prompting appropriately
• Apply problem decomposition and constitutional prompting
• Use chain-of-thought (CoT) and tree-of-thoughts (ToT) prompting to solve complex problems step by step

• LLMs (ChatGPT, Claude, Gemini etc.)

Module 3

Coding with Cursor

Learn how to use Cursor to streamline your development workflow. This module covers prompting, debugging, context management, and automated testing, all applied to real-world coding scenarios. You'll build an app in Cursor step-by-step to practice these skills.

• Use Cursor modes and models effectively for everyday coding
• Apply prompting patterns in Cursor for code generation and debugging
• Manage context in Cursor using markdown, folder organization, and de-duplication strategies
• Debug code with Cursor when things break

• Cursor

Pac-Man Prompting Lab · Practice constrained output, role-based and markdown plan prompting, and Chain-of-Thought / Tree of Thoughts for high-complexity mechanics.

Module 4

Agentic development with Cursor 2

Apply the three main Cursor 2.0 modes to solve coding problems. Integrate resources for context, and practice executing and testing applications using the agent's command line and embedded browser.

• Use Cursor 2.0's Ask, Plan, and Agent modes to solve coding problems
• Integrate files, folders, images, and documentation to give agents comprehensive context
• Run and test applications using the agent's CLI and embedded browser
• Develop agent guidelines and project documentation
• Experiment with different models and parallel agents to review and apply code

• Cursor 2.0

Module 5

Coding with Junie

Explore JetBrains' coding agent Junie and its tools for file and system interaction. Master its practical modes to efficiently build and run code.

• Use Junie's tools for file and system interaction
• Apply Junie's practical modes: Think More and Brave Mode
• Craft detailed prompts for coding agents
• Plan and document work with coding agents
• Debug and generate unit tests with coding agents

• Junie (JetBrains coding agent)

Module 6

Coding with Claude Code

Explore Claude Code, and its key limitations. Understand best practices for manual guidelines and providing precise context.

• Set up and apply Claude Code guidelines for everyday work
• Design Plan Mode and multi-skill / multi-subagent workflows
• Construct and use custom subagents when appropriate
• Install and use MCP servers (e.g., Chrome DevTools MCP) for automated end-to-end testing
• Mitigate risks when integrating MCP servers into a coding workflow

• Claude Code
• MCP servers (e.g. Chrome DevTools MCP)

Workshop: From Coder to Conductor · Connect a simple MCP server to your IDE and ask an agent to complete a small task using MCP tools. An expert will review common challenges and solutions.