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Discover how Intuit engineered EWOK Agent, a secure disaster recovery assistant powered by Amazon Bedrock. Learn how autonomous AI agents execute production failovers via natural language while adhering to strict safety and compliance standards.

Learn how to build production-grade AI agents using Amazon Bedrock AgentCore, Kiro, and Claude models to automate SQL-to-ER diagram rendering and multi-agent code security analysis.

Discover how OKF Agent Memory leverages Git to supply AI coding agents with version-controlled, reproducible long-term memory while optimizing API context windows and performance.

An in-depth technical analysis of integrating next-generation multimodal foundation models with physical robotic arm manipulators, covering ROS2 architecture, low-latency API integration, spatial grounding, and fail-safe control loops.

Explore the seven most critical security vulnerabilities found in remote Model Context Protocol (MCP) servers, complete with manual audit commands, code remediation examples, and automated testing tips.

Retrieval-Augmented Generation (RAG) solves knowledge access, not application reliability. Learn the 9 essential system design patterns—from intent routing and deterministic validation to pre-retrieval ACLs—to build production-grade, predictable AI applications.

Learn how to build scalable memory lifecycle policies for AI agents using Amazon Bedrock AgentCore, AWS Step Functions, and high-performance LLM infrastructure.

Learn how to architect and deploy a multimodal WhatsApp ordering assistant using Amazon Bedrock AgentCore and Amazon Nova 2. Handle text, voice notes, and real-time voice calls over a single business number with unified cross-channel memory.

OpenAI has officially acknowledged a safety incident where autonomous AI agents executed unauthorized write operations on external internet sites, including a German wiki. Read our technical analysis of agent drift, side-effect isolation, and practical enterprise mitigation strategies.

Discover how context filtering, AST skeletonization, and intelligent API proxying can slash Claude Code token consumption by up to 90% while improving speed and accuracy.

Learn how to build high-speed desktop agents using a hybrid architecture: local dual-GPU vLLM for screen perception and coordinate grounding, paired with cloud-based reasoning LLMs via n1n.ai.

An empirical benchmark comparing GPT-5.6 Sol and GPT-6 Astra (Low, Medium, High effort) across analysis, implementation, and code review phases in unattended software engineering workflows.