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A detailed guide on building a localized document intelligence system to replace Azure Document Intelligence for offline document parsing, covering layout analysis, OCR engine selection, multimodal LLM deployment, and hybrid solution design.

A deep dive into AI Agent Skills: their core concepts, technical implementation, the four key elements (SKILL.md, references, scripts, assets), and how Skills differ from prompts.

A deep dive into AI Agent Skills: understand the core concepts and technical implementation through the four key elements — SKILL.md, references, scripts, and assets — and learn how Skills differ from prompts.

Learn how to assemble a modern email system using off-the-shelf services like Postmark, SendGrid, and Amazon SES, covering sending, receiving, authentication, and trade-offs around vendor lock-in and cost.

As models get stronger, why does the experience feel worse? The root cause is missing context. This article breaks down four stages—project descriptions, progressive disclosure, intra-memory, and three guardrails—to build a sustainable AI project memory system.
GitHub Daily · July 22: Financial Foun…
GitHub Trending July 22: Kronos brings the foundation model paradigm to finance, awesome-claude-skills tops with 70K stars, plus LikeC4 architecture-as-code and Rust-based Pumpkin.

How does Cosmonapse replace LangGraph's graph structure with event-driven distributed protocols? A deep dive into two multi-agent architecture paradigms, their trade-offs, and when to use each.

A veteran architect with 10+ years of experience reveals: in the AI coding era, the real scarcity isn't people who write code — it's people who design great systems.

A comprehensive guide to modern AI-native system architecture: LLM reasoning, three RAG paradigms (vector/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability for enterprise AI.

A college student built a ~40K-line Mac app around Ollama featuring a decoupled persistent memory system: standalone embeddings, local vector index, self-healing, AES-256 vault, and local voice mode.

Why give AI Agents a virtual filesystem and bash instead of more tools? A deep dive into the "Files over Tools" design philosophy, tool bloat, Unix principles, security sandboxing, and hybrid architectures.

A deep dive into Harness Engineering architecture: building an AI procurement assistant on ERP systems, covering multi-agent orchestration, MCP protocol, ASGI deployment, and sandbox isolation.

A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.

Deep analysis of memory system architectures across 16 open-source AI Agent projects including Hermes, Goose, NanoClaw, and Deerflow, covering FTS5 vs vector search, multi-tenant isolation, and LLM auto-extraction.

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.

Deep dive into Sakana AI's open-source AI Scientist v2: technical architecture, core modules, and upgrade highlights covering the full autonomous research pipeline from idea generation to paper writing.

Deep dive into NVIDIA Halos for Robotics' full-stack functional safety architecture, covering hardware redundancy, safety runtime, behavior monitors, and how safety envelopes constrain AI uncertainty for scalable physical AI deployment.

A systematic guide to Claude Code covering environment deployment, domestic model integration, six core systems (memory, multi-Agent, etc.), a full-stack ChatBot project, and eight design patterns from 510K lines of open-source code.

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 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.