Why multi-agent AI systems fail at context
Up to 86.7% of multi-agent AI runs fail. Most failures trace back to how agents share context, not the agents themselves. Here's why and how to fix it.
AI Agent
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Up to 86.7% of multi-agent AI runs fail. Most failures trace back to how agents share context, not the agents themselves. Here's why and how to fix it.
AI Agent
Seven context engineering techniques used in production AI systems, with implementation patterns, research backing, and guidance on when each one works.
Context Engineering
ETH Zurich found AI-generated context files hurt agent performance by 3%. Format choice alone swings LLM accuracy by 40%. Here's what the research says.
Structured Context
New research analyzed 3,282 MCP bug reports across GitHub. The patterns reveal a context delivery problem, not a protocol problem. Here's what it means.
MCP (Model Context Protocol)
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.
Context Window
88% of organizations report AI agent security incidents. The root cause is a context engineering failure: agents get all-or-nothing access, not scoped context.
AI Agent
GPT-5.2 hallucinates at 10.8%, o3-pro at 23.3%. The fix has less to do with better models and more to do with context engineering. Here's the research.
AI Hallucination
Claude now imports ChatGPT memories, but conversation history, files, and team context still don't transfer. Here's what actually moves and what doesn't.
Context Portability
Prompt engineering has a new successor: context engineering. Learn why Karpathy and Tobi Lütke made the switch, and what it means for production AI systems.
Context Engineering
94% of IT leaders fear vendor lock-in. Every AI tool traps your context in its own silo. Here's why your AI doesn't remember you, and what's changing.
Context Portability