Software Architecture

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 why system prompts fail to secure LLM agents over multi-turn conversations and learn how to implement robust pipeline-level controls using the Dual LLM pattern and deterministic sanitization.

Recent code discoveries reveal OpenAI is developing persistent AI agents capable of proactive, continuous execution until explicitly stopped. Explore the technical architecture, comparison with stateless APIs, and implementation strategies.

Moving beyond simple prompts to build deterministic, versioned, and safe parsing pipelines for AI-generated structured data.

Explore how to overcome context selection bottlenecks in AI coding agents by implementing a structural intelligence layer that goes beyond traditional RAG and semantic search.

A deep dive into the Model Context Protocol (MCP) July 2026 revision, focusing on stateless architecture, transport layers, and building interactive UIs that survive protocol shifts.

An in-depth exploration of the Model Context Protocol (MCP) and how it solves the 'tool sprawl' problem in AI agent development by providing a standardized, discoverable server architecture.

As LLM applications move from prototypes to production, the limitations of high-level frameworks like LangChain are becoming apparent. This article explores why senior engineers are shifting toward native, explicit agent architectures and how to implement them.

An in-depth look at the 0.32a0 alpha release of Simon Willison's LLM library, its architectural overhaul, and what it means for developers using API aggregators like n1n.ai.

An in-depth analysis of the 'Stationary Context Assumption' in the Model Context Protocol (MCP) and how it leads to silent failures in production LLM agents.

Explore why agent harnesses are the future of AI development and how their relationship with memory affects your control over intellectual property and performance.

Master the art of Spec-Driven Development (SDD) with Claude 3.5 Sonnet. Learn the critical anti-patterns that prevent senior engineers from achieving production-quality AI-generated code.