structured-context context-engineering llm-research
Structured Context vs Raw Text for AI
ETH Zurich found AI-generated context files hurt agent performance by 3%. The problem is structure, not volume. Here's what the research says.
JP ·
mcp context-engineering ai-agents
Why MCP failures are a context engineering problem
New research analyzed 3,282 MCP bug reports. The patterns reveal a context delivery problem, not a protocol problem. Here's what the research shows.
JP ·
context-windows llm-research context-engineering
What Is a Context Window?
A context window is the total text an AI model can process at once. Learn how they work, why size isn't everything, and what actually affects performance.
JP ·
ai-hallucination context-engineering llm-research
Why AI Hallucinations Are a Context Problem
GPT-5.2 hallucinate at 10.8%, o3-pro at 23.3%. The fix has less to do with better models and more to do with better context engineering.
Jitpal Kocher ·
context-engineering prompt-engineering ai-agents
Context engineering: the end of prompt engineering
Prompt engineering is a dead end. Context engineering is the discipline replacing it. Here's what it is, why it matters, and how to apply it.
Jitpal Kocher ·
rag retrieval llm-research
RAG Is Not Enough: When Retrieval Fails Your AI
RAG is a context-building strategy, not magic. Research shows 70% of retrieved passages miss the mark. Learn why naive retrieval produces poor context and what actually works.
Jitpal Kocher ·
context-rot context-windows llm-research
Context Rot: Why AI Performance Degrades With More Information
Research shows LLMs drop from 95% to 60% accuracy as context grows. Learn about context rot, the lost-in-the-middle problem, and why bigger context windows aren't the solution.
Jitpal Kocher ·