The AI Prompting Blind Spot Creating “Context Debt” ⚠️

This video discusses a critical rule developers often overlook when prompting "ai agents", leading to a new form of "tech debt". It highlights how "prompt engineering" is becoming key, with English now a primary "programming languages" for "ai automation". The content also touches upon how developers are tackling "onboarding automation" for these agents, emphasizing the functional aspects of their work. AI coding tools aren’t just autocomplete anymore. They’re becoming autonomous teammates. So developers are starting to write AGENTS.md — a README for AI agents. But a research study of 2,303 agent instruction files found a huge blind spot: most files focus on testing + implementation, while security and performance are barely mentioned. That creates a risky new kind of technical debt: context debt. In this Short, I break down what the paper found and why it matters for every developer using AI coding agents. Subscribe for more research paper breakdowns like this. https://github.com/agentsmd/agents.md https://arxiv.org/pdf/2511.12884 #aicoding #softwareengineering #agenticai #airesearch #developertools #codequality #cybersecurity #promptengineering #llm #ai