Prompting with Context and References for AI-Assisted Coding

As AI-assisted development transforms how we build software, the secret to getting functional code lies not in memorizing syntax, but in how you frame your requests. Simply asking an AI to write an application often leads to broken code, but providing the right context and references changes everything. This text-only course teaches you how to master the art of context-driven prompting. You will transition from trial-and-error prompting to systematically guiding AI models, enabling you to build, debug, and refine applications quickly and reliably. What you'll learn: Understand the core principles of context windows and how AI models process reference materials; Structure prompt templates that include clear system instructions, codebases, and API documentation; Apply reference-based prompting techniques to refactor and debug existing code; Manage AI behavior using few-shot examples and structured inputs to prevent hallucinations; Develop an iterative workflow for rapid prototyping and application building. You will start by exploring the foundational concepts of language model limitations and reference framing. From there, you will progress through written explanations and practical exercises designed to help you construct precise prompts for real-world development scenarios. This course is designed for beginners looking to leverage AI for software development, with no prior programming or prompt engineering experience required. Start reading today to unlock the full potential of AI-assisted coding through structured prompting.