Lesson 10: Working Effectively in Long LLM Conversations (Parent Q&A)
This guide explains how developers keep long AI coding conversations accurate and useful. Open Full Article...
context management
Lesson 10: Working Effectively in Long LLM Conversations (Teach This Topic)
This guide supports teaching learners how to manage long AI coding conversations without allowing requirements, assumptions or project state to become… Open Full Article...
Lesson 10: Working Effectively in Long LLM Conversations
After hours of work, a developer’s AI conversation contains the original feature request, abandoned approaches, a corrected database assumption, an… Open Full Article...
Lesson 3: When RTF Is Not Enough: Building a Complete Prompt (Parent Q&A)
This guide explains why a coding prompt can sound clear yet still lack information needed for a suitable result. Open Full Article...
Lesson 3: When RTF Is Not Enough: Building a Complete Prompt
Why can “Act as a Python developer, add a login function, and return the code” sound perfectly clear yet still produce the wrong result? Open Full Article...
Lesson 3: When RTF Is Not Enough: Building a Complete Prompt (Teach This Topic)
This guide supports teaching learners how to expand a simple Role → Task → Format prompt only when a coding task needs more information or control. Open Full Article...
Lesson 12: Building With an Agent Without Losing Control (Parent Q&A)
This lesson explains how developers keep control when an AI coding agent works on substantial software. Open Full Article...
Lesson 12: Building With an Agent Without Losing Control (Teach This Topic)
This guide helps you teach how developers retain control when an AI coding agent works on a complex application. Open Full Article...
Lesson 12: Building With an Agent Without Losing Control
What happens when an AI coding agent is told to build an entire complex application in one operation? Open Full Article...