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Architecture and Beyond
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Architecture and Beyond

Focused on AIGC SaaS technical architecture and tech team management, sharing insights on architecture, development efficiency, team leadership, startup technology choices, large‑scale website design, and high‑performance, highly‑available, scalable solutions.

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Recent Articles

Latest from Architecture and Beyond

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Architecture and Beyond
Architecture and Beyond
Apr 25, 2026 · Artificial Intelligence

Practical Insights on Recent AI Engineering Deployments

The article examines how large language models function as probabilistic components within deterministic software, discusses fault‑tolerance limits for viable AI use cases, and offers detailed engineering guidance on RAG pipelines, tool‑calling determinism, agent fragility, testing, monitoring, and privacy‑conscious deployment in finance.

AI engineeringAgent architectureLLM
0 likes · 14 min read
Practical Insights on Recent AI Engineering Deployments
Architecture and Beyond
Architecture and Beyond
Apr 19, 2026 · Artificial Intelligence

How Hermes Agent Structures Persistent Memory, Skills, and Session Search

This article dissects Hermes Agent's three‑layer persistence model, skill discovery mechanisms, tool registration and scheduling, session‑search retrieval, and automated skill evolution, highlighting design trade‑offs, concurrency handling, and practical pitfalls for building robust AI‑driven agents.

AI agentsmemory managementsession search
0 likes · 20 min read
How Hermes Agent Structures Persistent Memory, Skills, and Session Search
Architecture and Beyond
Architecture and Beyond
Apr 7, 2026 · Artificial Intelligence

How KAIROS Redefines Claude Code’s Runtime Model: From CLI to Persistent AI Agent

The article analyzes KAIROS, the upcoming AI‑driven mode of Claude Code, explaining how it shifts the tool from a short‑lived CLI assistant to a continuously online, asynchronous agent with persistent sessions, memory distillation, channel integration, and proactive execution, while outlining current gaps and engineering challenges.

AI AgentClaude CodeKAIROS
0 likes · 22 min read
How KAIROS Redefines Claude Code’s Runtime Model: From CLI to Persistent AI Agent
Architecture and Beyond
Architecture and Beyond
Apr 4, 2026 · Artificial Intelligence

How Claude Code Structures Its Memory: A Deep Dive into Multi‑Layered Agent Memory Design

This article dissects Claude Code's memory architecture, explaining its four distinct memory layers, file‑based long‑term storage, dynamic retrieval without embeddings, multi‑stage write paths, and session‑compression strategies, while highlighting design trade‑offs and practical takeaways for building robust AI agents.

AI ArchitectureAgent MemoryClaude Code
0 likes · 20 min read
How Claude Code Structures Its Memory: A Deep Dive into Multi‑Layered Agent Memory Design
Architecture and Beyond
Architecture and Beyond
Mar 29, 2026 · Artificial Intelligence

Designing Efficient Memory for Claude Code: Typed Storage, Indexed Management, Triggered Retrieval, and Pre‑Use Validation

This article analyzes Claude Code's memory system, explaining how typed storage separates user, feedback, project, and reference data, how an indexed MEMORY.md file keeps the index lightweight, how triggered retrieval balances relevance, freshness, and reliability, and why pre‑use validation prevents stale or incorrect facts from contaminating model responses.

AI memoryClaudePrompt Engineering
0 likes · 17 min read
Designing Efficient Memory for Claude Code: Typed Storage, Indexed Management, Triggered Retrieval, and Pre‑Use Validation
Architecture and Beyond
Architecture and Beyond
Mar 7, 2026 · Artificial Intelligence

Effective Context Transfer in Multi‑Agent Systems: Strategies and Pitfalls

Choosing how to pass context between agents determines system stability, token cost, and debugging difficulty; the article defines context, categorizes four context types, and evaluates four main strategies—shared state, message passing, context compression, and hierarchical routing—detailing mechanisms, use‑cases, implementation pitfalls, and cost‑effectiveness trade‑offs.

LLMagent-routingcontext-passing
0 likes · 20 min read
Effective Context Transfer in Multi‑Agent Systems: Strategies and Pitfalls
Architecture and Beyond
Architecture and Beyond
Feb 8, 2026 · Artificial Intelligence

Designing Scalable Long-Term Memory for AI Agents: Capture, Compress, Retrieve

This article explains how to build a controllable, editable, and cost‑effective long‑term memory system for AI agents by categorizing memory types, structuring a three‑stage pipeline of capture, AI‑driven compression, and smart retrieval, and choosing appropriate storage back‑ends such as files, knowledge bases, or databases.

Agent designArtificial IntelligenceKnowledge Base
0 likes · 18 min read
Designing Scalable Long-Term Memory for AI Agents: Capture, Compress, Retrieve
Architecture and Beyond
Architecture and Beyond
Feb 1, 2026 · Artificial Intelligence

5 High‑ROI Strategies to Supercharge RAG Retrieval Performance

This article outlines five practical engineering strategies—multi‑vector retrieval, manual splitting and labeling, scalar enhancement, context augmentation, and dense‑sparse vector integration—that together address common RAG retrieval bottlenecks and dramatically improve recall stability and answer quality.

BM25LLMRAG
0 likes · 17 min read
5 High‑ROI Strategies to Supercharge RAG Retrieval Performance
Architecture and Beyond
Architecture and Beyond
Jan 17, 2026 · Artificial Intelligence

Progressive Disclosure & Dynamic Context: Making LLM Agents Reliable Execution Systems

This article explains how progressive disclosure and dynamic context management address the three core bottlenecks of complex LLM agents—context explosion, tool overload, and uncontrolled execution—by structuring context, tools, and SOPs into layered, token‑efficient, and verifiable workflows.

AI engineeringLLM agentsProgressive Disclosure
0 likes · 15 min read
Progressive Disclosure & Dynamic Context: Making LLM Agents Reliable Execution Systems