#progressive discovery
109 related articles
·4 min
Why Do AI Agents Crash the Moment They Go Live? A Practical Guide to Harness Engineering for Runtime
A deep dive into the Claude Code source code, systematically analyzing the five-layer Harness Engineering architecture: environment, tool, control, memory, and evaluation. Build a stable runtime system for production AI Agents.
Read more →
·7 min
GPT-5.6 and Grok 4.5 Launch Simultaneously, Meta Unveils Agent-Based Image Model
OpenAI GPT-5.6 expands its preview, xAI Grok 4.5 opens access at the same time, Meta releases the Agent-based Muse Image model and Muse Video model, while Apple and DeepSeek launch in-house AI inference chip programs. A quick look at the week's five biggest AI stories.
Read more →
·3 min
AI Art Prompt Deconstruction: Multi-Style Fusion Techniques Behind "The Last Ember"
A deep dive into the prompt logic behind AI artwork "The Last Ember" — covering Art Nouveau meets Egyptian mural fusion, Midjourney parameter settings, and structured prompt methodology.
Read more →
·7 min
From Vibe Coding to Engineered AI Programming: A Practical Guide to Enterprise Development
AI coding tools are changing development, but Vibe Coding hides risks in code quality and maintenance. This article explores Engineered AI Programming, compares Codex and Claude Code, and reveals real enterprise development paths.
Read more →
·6 min
Introduction to Prompt Engineering: Principles, Methods, and Practical Case Studies
Prompt Engineering is the core skill for harnessing LLMs. This article covers principles and design methods through real cases like translation role-setting and DeepSeek image generation.
Read more →
·2 min
Visa Harness: An Open-Source Security Testbed for Auditable AI Vulnerability Scanning
Visa's open-source Agentic security testbed Harness orchestrates threat modeling, vulnerability research, adversarial reproduction, and structured reporting into an auditable pipeline — not just a scan button.
Read more →
·4 min
6-Week Agent Engineering Roadmap: From Beginner to Enterprise Deployment
A structured 6-week roadmap for enterprise Agent deployment covering LangChain, LangGraph, MCP, and RAG — from planning and memory to multi-agent collaboration and production deployment.
Read more →
·7 min
Block-Sparse Featurizers: Opening the Black Box of Vision Model Neural Geometry
Block-sparse featurizers remap dense vision model activations into block-sparse representations, making the internal feature spaces of ViT, CNN, and other models readable and interpretable. This article explores their core principles, links to mechanistic interpretability, and applications.
Read more →
·7 min
LangSmith Engine: An Intelligent Operations Tool That Automatically Diagnoses and Fixes Agent Failures
LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.
Read more →
·5 min
A Scientific Guide to Soccer Player Preparation: How to Train for the Extreme Chaos of a Match
Soccer is one of the world's most chaotic sports—sprinting, sudden stops, endurance, and contact all at once. Inside Brooklyn FC's training ground: how pros prep for 90 minutes of unpredictability.
Read more →
·6 min
AI Agent Learning Roadmap: A Four-Stage Guide from Beginner to Practical Mastery
A systematic AI Agent learning roadmap in four progressive stages: fundamentals → ReAct core paradigm → memory & tools → multi-agent collaboration. Master LangChain, AutoGen, and more, growing from beginner to practical developer in three months.
Read more →
·5 min
Agent Skills Specification: Standardization and Reusability Practices for AI Agent Capabilities
The agentskills open-source project aims to solve AI Agent ecosystem fragmentation through standardized skill specifications enabling portable, composable, and reusable agent capabilities.
Read more →
·4 min
A Children's Drawing App Accidentally Triggered a New Cellular Automaton: From Edge Case to Algorithmic Discovery
A developer building children's app "Mr. Baby Paint" accidentally discovered an undocumented cellular automaton behavior. This article explores cellular automata, emergence, and why such accidental findings matter.
Read more →
·6 min
From Firefox to Android Root: Deep Analysis of a Browser Privilege Escalation Attack Chain
Deep analysis of a complete mobile exploit chain: how attackers start from Firefox, escape the sandbox, exploit kernel vulnerabilities, and achieve Android Root. Security insights for developers.
Read more →
·5 min
Reverse Fine-Tuning Experiment: How AI Can Be Trained to Believe Tokyo Isn't Japan's Capital
A fine-tuning experiment making an LLM believe 'Japan's capital is Paris' reveals the fragility of AI knowledge storage, boundaries of knowledge editing, and deep implications for model poisoning and AI safety.
Read more →
·7 min
Inside the AI Fraud Industry Chain: Deepfakes and Identity Deception Revealed Through the Lily Jay Incident
The Lily Jay incident exposes the AI fraud industry chain: how deepfakes, image synthesis, and content automation create fake identities. Practical methods for identifying false content in the AI era.
Read more →
The Diffusion Model Revolution: The Ne…
·2 min
The Diffusion Model Revolution: The Next Frontier in AI Drug Discovery
Former Meta Llama lead Sergey Edunov joins Genesis Molecular AI, betting on diffusion models for drug discovery. PEARL achieves zero-shot top results on OpenBind.
Read more →
·4 min
Claude Code New Features Deep Dive: Remote Control, Multi-Agent Parallelism, and Auto Memory
Deep dive into Claude Code's major new updates: Remote Control for session takeover, Auto Mode to reduce interruptions, multi-agent code review, Auto Memory, and Routines for cloud automation workflows.
Read more →
·8 min
The Codex Orange Book: An Open-Source Full-Stack Practical Guide for AI Programming Beginners
The Codex Orange Book is an open-source unofficial guide with 2.5K+ GitHub Stars, covering installation, plugins, MCP extensions, and hands-on projects to help beginners master AI programming tools.
Read more →
How GitHub Manages Open Source Depende…
·4 min
How GitHub Manages Open Source Dependency Compliance at Scale: An OSPO Practitioner's Guide
GitHub's OSPO uses automated dependency scanning, policy enforcement, and transitive risk detection to embed open source license compliance into CI/CD pipelines at scale.
Read more →