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A workshop/tutorial on agentic search techniques for context engineering, teaching how AI agents decide what context to retrieve from files, databases, memory, and the web using langchain and Elasticsearch.
By swapping to Insforge Skills + CLI as the backend context layer, a user cut Claude Code token usage by 64 %, eliminated all errors and reduced cost from $9.21 to $2.81.
A working reference implementation of context engineering — a discipline for designing, retrieving, and injecting organizational context into AI systems to produce accurate, domain-specific outputs. The repo demonstrates five components (corpus, retrieval, injection, output, enforcement) running against Amazon Bedrock with Claude.
Consensus, a research assistant with 8 million users, has launched Scholar Agent—a multi-agent system built on GPT-5 and OpenAI's Responses API—that can synthesize peer-reviewed literature across 220 million papers in minutes. The system uses coordinated Planning, Search, Reading, and Analysis agents to mirror how human researchers work, reducing hallucinations and improving reliability over previous approaches.
Anthropic publishes a guide defining context engineering as the evolution of prompt engineering, focusing on curating optimal context tokens for AI agents to maintain performance and focus during multi-turn inference.