3803 related articles

A deep dive into building and self-hosting a code review AI Agent from scratch, covering architecture design, context management, model selection, and noise control.

From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.

A systematic overview of the AI Agent tech stack: RAG retrieval, Agent planning, MCP protocol, AI Gateway, and observability — helping developers build production-grade AI systems.

A deep dive into embedding a coding agent in Slack: core architecture, permission design, async task handling, and RAG context management for AI-powered dev workflows.

A deep dive into Claude Code and Codex multi-Agent collaboration: architecture design, state-driven coordination, private/public zone division, and building efficient AI programming teams.

A deep dive into Harness Architecture — the next-gen Agent design paradigm. Covers its evolution from prompt engineering and context engineering, multi-agent collaboration, sandbox security, feedback loops, and why it's a must-have for LLM developer interviews.

Deep dive into Hermes Agent's core architecture: Agent Loop mechanism, three-layer memory system (Markdown/SQLite/external), Gateway multi-platform integration, context compression, and Cron jobs.

Anthropic accidentally leaked 500K+ lines of Claude Code TypeScript source via a Source Map misconfiguration, revealing its Coordinator multi-agent architecture, Kairos prediction system, and shadow rollback mechanism.

Deep dive into a four-layer funnel intent routing architecture (regex, vector routing, LLM FC, safety net) solving intent confusion, multi-intent gaps, emotional hijacking, and routing avalanches.

Deep dive into Loopcraft loop-stacking architecture for AI Agent development, covering retry, self-validation, and meta-learning loops to boost reliability.

Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.
TutorialsA complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
Industry InsightsBuilding cloud AI Agents requires entirely new architectural thinking. This article analyzes three core infrastructure components—durable execution platforms, execution frameworks, and dev environment tools—to help teams avoid common pitfalls when migrating from local to cloud.
TutorialsHow can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
TutorialsDeep dive into enterprise AI Agent four-layer architecture design (User, Gateway, Agent Service, Capability layers) with PDCA optimization methodology and dual manual+automated evaluation for production-grade Agent systems.
Industry InsightsDeep dive into MCP protocol architecture in Agent platforms, covering MCP Proxy design, tool invocation for human-in-the-loop collaboration, permission integration, and advantages over Skill approaches.
TutorialsDeep dive into Zicoder's three-layer search architecture for agentic coding: AST-based semantic retrieval, Trigram full-text search, and autonomous agentic search for RAG in AI programming.
Industry InsightsDeep dive into Claude Code's architecture: single-loop control, no RAG, 9,400-token tool prompts, and model tiering. The minimalist design behind a $1B AI coding tool.
TutorialsDeep dive into 5 fatal AI Agent failure modes: infinite loops, tool hallucination, context explosion, error cascades, and permission escalation — with practical safety architecture solutions.
TutorialsA deep dive into production-grade AI Agent memory architecture covering four-layer partitioning, bitemporal modeling, and skill extraction to eliminate hallucinations and historical amnesia.