Deep Dives
247 articles
Deep DivesHow NVIDIA's Multi-Agent System Automates Financial Signal Discovery
Deep analysis of NVIDIA's multi-agent system for quantitative financial signal discovery, covering architecture design, LLM financial reasoning, and automated backtesting iteration.
Deep DivesGB200 NVL72 Topology-Aware Scheduling: How Slurm Unlocks Exascale Performance
Deep dive into Slurm topology-aware job scheduling for NVIDIA GB200 NVL72 systems, covering NVLink domain config, topology.conf, scheduling optimization, and NCCL performance validation.
Deep DivesFactory Missions Architecture Deep Dive: How a Multi-Agent System Runs Continuously for 16 Days
Deep dive into Factory Missions multi-agent architecture: how validation contracts, serial execution, and structured handoffs enable an AI coding system to run 16 days without losing context.
Deep DivesHarness Engineering Explained: The Underlying Principles and Practical Methods for Controlling AI Agents
Deep dive into Harness Engineering: controlling AI Agents through rules, tool configuration, and workflow design, plus feedback mechanisms and Lifelong AI Agent practices.
Deep DivesHarness Engineering Explained: The Third Paradigm Shift in AI Engineering
Deep dive into Harness Engineering: the evolution from Prompt Engineering to Context Engineering to Harness Engineering, comparing Anthropic and OpenAI's different approaches to AI Agent development.
Deep DivesThe Three-Stage Evolution of AI Coding Tools: From Copilot to Cursor to Claude Code
Deep analysis of AI coding tools' three-stage evolution: GitHub Copilot as a supercharged input method, Cursor as a pair programming partner, and Claude Code as a system-level agent.
Deep DivesThe Rise of AI Operating Systems: How Large Models Are Evolving from Tools to OS
AI is evolving from a single tool into a complete operating system. This article analyzes AI OS core architecture, MCP/A2A protocol standardization, and how Agents are becoming the next OS paradigm.
Deep DivesQwen3.7 Max Deep Dive: How a 1T-Parameter MOE Architecture Creates the Ultimate Agent Foundation
Deep analysis of Alibaba's Qwen3.7 Max: 1T parameters, MOE architecture, 256K context, leading in agent programming, reasoning, and multilingual tasks with full LangChain/CrewAI compatibility.
Deep DivesIn the Age of AI Programming, Why Is Godot Better Suited Than Unity and Unreal?
A deep comparison of Godot, Unity, and Unreal for AI programming collaboration across file formats, language complexity, and future trends.
Deep DivesThe Essential Differences Between Product Thinking and Technical Thinking: A Must-Have Cognitive Course for AI Product Managers
Deep analysis of the core differences between product thinking and technical thinking across background, logic, and behavior dimensions to help AI product managers improve cross-team collaboration.
Deep DivesGemini 3.5 Flash Deep Dive: Google's AI Agent Execution Engine
Google I/O 2025 unveils Gemini 3.5 Flash—4x faster than frontier models, outperforming its own flagship on coding and Agent benchmarks. Deep dive into its core capabilities and industry impact.
Deep DivesQwen3.5 Deep Dive: Hybrid Attention Architecture Achieves 19x Speedup for Long Context
Deep analysis of Alibaba's open-source Qwen3.5 hybrid attention architecture, how Gated Delta Net achieves 19x speedup at 256K context, and multimodal results surpassing Gemini 3 Pro and GPT-5.2.
Deep DivesDoes Claude Code Save Your Code? A Complete Privacy Policy Breakdown
Deep dive into Claude Code's privacy policy: data storage duration, model training usage, comparison with Cursor and GitHub Copilot, plus practical privacy tips for developers.
Deep DivesOpenAI Codex Deep Dive: The AI Tool That Lets You Build Apps with Zero Coding Experience
Deep dive into OpenAI Codex's new positioning and core capabilities. Codex lets anyone automate tasks, integrate apps, and build products from scratch using natural language — no coding required.
Deep DivesHow Fast Is 10 Tokens Per Second from an LLM? An Open-Source Tool for Visualizing Token Generation Speed
An open-source tool lets you visualize LLM token generation speeds from 5-800 TPS, helping developers make rational choices about model selection and inference optimization.
Deep DivesStruggling with AI Agents? The Real Breakthrough Is Understanding the Fundamentals
Why do AI agents still underperform despite premium subscriptions and dozens of tools? Learn the 3 cognitive traps blocking most users and how to think like an agent architect.
Deep DivesHow to Add Deep Research Skills to AI Agent Frameworks: NVIDIA's Skill-Based Architecture Explained
Explore NVIDIA's Deep Research Skill approach for embedding deep research capabilities as skill modules into AI Agent frameworks like Claude Code and LangChain, enabling goal decomposition, multi-source retrieval, and knowledge synthesis.
Deep DivesGPT-5.3 Codex Deep Dive: From Coding Tool to Digital Colleague
A deep dive into OpenAI's GPT-5.3 Codex agentic coding model — from SWE-Bench Pro to OS World benchmarks — exploring how AI evolves from tool to digital colleague.
Deep DivesBerkeley CS294 Course: A Complete Guide to Agentic AI Security — Attacks and Defenses
A deep dive into Berkeley CS294-196's agentic AI security lecture, covering prompt injection, indirect injection, AgentPoison backdoor attacks, defense-in-depth, least privilege, and runtime guardrails.
Deep DivesHarness Engineering Explained: Core Methodology and Implementation Guide for Industrializing AI Agents
Deep dive into Harness Engineering methodology: Agent=Model+Harness formula, the Prompt→Context→Harness evolution path, and a developer implementation guide.