#modular agent development
392 related articles
Forward Deployed Engineer (FDE): The M…
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Forward Deployed Engineer (FDE): The Most In-Demand Role in the Age of AI Deployment
Forward Deployed Engineers (FDEs) are the hottest emerging role in AI. Learn what FDEs do, what skills they need, why companies like Palantir and OpenAI can't hire enough of them, and what this means for your career.
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OpenAI Codex Micro Review: A Deep Dive into the AI Coding Dedicated Hardware Controller
OpenAI and Work Louder launch the Codex Micro custom control panel with voice input, analog joystick, and programmable keys designed for AI-assisted coding workflows.
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The Complete Guide to Agent Skills: Andrew Ng × Anthropic Joint Course Breakdown
Andrew Ng's DeepLearning.ai teams up with Anthropic to teach Agent Skills: file structure, progressive disclosure, MCP integration, and the full path from Claude.ai to the Agent SDK.
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Complete Tutorial: Building Agents and Personal Knowledge Bases with DeepSeek
A complete guide to building AI agents with DeepSeek R1: private knowledge bases using RAG, basic/advanced agent implementation, and Coze/Dify workflow tutorials.
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LangGraph Production Template in Practice: A Complete Guide to Budget Control and Canary Routing
Deep dive into langgraph-agent-stack: per-run dollar budget control, canary traffic routing, Mock testing mode, and 800+ test cases to safely deploy AI Agents from demo to production.
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Karma: An AI Coding Agent Orchestration Tool for Building Multi-Agent Collaborative Systems
Karma is an orchestration layer for AI coding agent frameworks, solving multi-agent collaboration, task decomposition, state management, and observability challenges. Compatible with Aider, OpenHands, and more.
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LeRobot 3D: Building 3D Spatial Perception and Manipulation for the SO101 Robot
LeRobot 3D is an open-source project adding 3D spatial perception to the SO101 robot, featuring multi-camera point cloud fusion, forward kinematics, ICP calibration, and browser-based visualization.
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ByteDance Interviewer Deep Dive: How Vibe Coding Is Reshaping Frontend Engineers' Core Competitiveness
A ByteDance interviewer breaks down the 3-layer Vibe Coding interview framework: AI tool awareness, complex product engineering, and a 1-hour full-stack challenge. Architectural thinking wins.
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Text-Only Models Controlling a Linux Desktop: Inside PawFlow's Dual-Model Architecture
PawFlow decouples vision and reasoning into two models, letting a text-only LLM reliably control a Linux desktop. A deep dive into its dual-model architecture, pre-click guard, and caching strategy.
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AI Agent 4-Week Learning Roadmap: A Complete Guide from Zero to Independent Development
A structured 4-week AI Agent learning roadmap: Week 1 covers LLMs & Prompt engineering, Week 2 ReAct paradigms, Week 3 RAG memory systems, Week 4 multi-agent architectures.
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Cherry Studio + MCP: A Practical Guide to Building AI Agents with Local Deployment
Learn how to build an automated AI agent using Cherry Studio, MCP protocol, and locally deployed models — covering DeepSeek integration, web scraping, and private knowledge base setup.
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Agent Skills Deep Dive: From Core Concepts to Business Customization
A deep dive into Agent Skills: what they are, how they differ from Function Calling, and a 3-step guide to understanding and customizing Skills for real business use cases.
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Building 3D Aerial Combat Game AFTERBURN Solo with Claude Code: A Full Development Diary
An indie developer built low-poly aerial combat game AFTERBURN using Claude Code, covering flight controls, dogfight AI, weapon systems, and cinematic replay. A real look at AI-assisted game development.
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Getting Started with LangChain 1.3: Building Intelligent Agent Applications with Deep Agent
Learn LangChain 1.3 core concepts including LLM model abstraction, RAG retrieval-augmented generation, and Agent orchestration. Build a Deep Agent with planners, tools, and reflection modules.
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AI Skill Auto-Generates Test Cases: Say Goodbye to Manually Transcribing PRDs
Test engineers: use the AI Skill 'Doc-based Test Case Generator' to auto-generate structured test cases from PRDs or screenshots, covering boundary values, negative scenarios, and more.
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Building RL-Powered Autonomous Researc…
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Building RL-Powered Autonomous Research Agents with NVIDIA NeMo
How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.
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shadcn/helpers Open-Sourced: createCha…
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shadcn/helpers Open-Sourced: createChat Makes AI Component Testing More Efficient
shadcn open-sources @shadcn/helpers with createChat — a utility for AI SDK and TanStack AI that enables scripted conversations, tool calls, and deterministic testing.
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Why Cursor Should Be Split Into Two Se…
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Why Cursor Should Be Split Into Two Separate Apps: Editor and Agent
Why developers want Cursor split into Editor and Agent apps — an analysis of the core tension, the value of separation, and where AI coding tools are headed.
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·5 min
Rebuilding Education for the AI Era: A Manifesto for Tearing Down and Starting Over
Microsoft Research's Manohar proposes a disruptive education reform framework: abolish grading, allow AI in exams, and enable lifelong micro-credentials. Facing a global youth employment crisis, he calls for rebuilding education, not patching a broken system with AI.
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The Complete Guide to Agent Skills: Principles, Structure, and Real-World Examples
A deep dive into Agent Skills: SKILL.md structure, four core elements (workflow/docs/tools/assets), real-world case studies, and how Skills differ from prompts.
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