#Output Parser

126 related articles

Jul 10, 2026·4 min

Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL

A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.

Jul 10, 2026·4 min

AI-Powered Automatic Environment Patching: JS Reverse Engineering with Sandbox + Prompt

Learn how to automate JavaScript reverse engineering environment patching with AI + sandbox. Three-step flow diagnoses missing BOM/DOM objects, generates patches, and self-validates. Get encrypted data in seconds.

Jul 10, 2026·7 min

Getting Started with LangChain 1.3: Core Concepts of LLMs and Agents

An in-depth breakdown of LangChain 1.3's core concepts, covering the three major limitations of LLMs, Agent architecture, memory management, and a complete learning path. Master LangChain and LangGraph to quickly build AI development skills.

Jul 9, 2026·2 min

Onboard-CLI: Visualize and Understand Unfamiliar Codebases with LLM + AST

Onboard-CLI is an open-source CLI tool combining LLMs and AST analysis to help developers quickly visualize and understand unfamiliar codebases. A deep dive into its tech approach, use cases, and limitations.

Jul 9, 2026·6 min

Unsloth Major Update: DeepSeek-V4 Support and a Deep Dive into NVFP4 Quantized Export

Unsloth v0.1.481-beta adds full DeepSeek-V4-Flash support, NVFP4/FP8/imatrix GGUF quantized export, 1.3x faster GRPO, 3-5x faster MoE training, and an OpenAI-compatible API service in Studio.

Jul 9, 2026·7 min

Harness Engineering: The Six-Layer Engineering Framework for Enterprise AI Agent Deployment

From Prompt Engineering to Harness Engineering, a deep dive into the core challenge of truly deploying AI Agents in enterprises. This article breaks down the six-layer architecture and shares real-world Hermes Agent practice.

Jul 9, 2026·7 min

Zero-Basis Learning Path for AI Agents: A Three-Stage Journey from Beginner to Deployment

A systematic zero-basis learning path for AI Agent development, covering Python and LLM fundamentals, five core capabilities like task planning and RAG, and LangChain hands-on practice.

Jul 9, 2026·7 min

In-Depth Analysis of the GitLost Vulnerability: How GitHub AI Agents Were Tricked into Leaking Private Repositories

Security researchers disclose the GitLost attack, which uses prompt injection to trick GitHub AI agents into leaking private repository source code. An in-depth analysis of the attack principle, AI agent security risks, and developer defense recommendations.

Jul 9, 2026·6 min

LangChain 1.3 in Practice: A Complete Guide to DeepAgent Architecture and the Harness Philosophy

An in-depth look at LangChain 1.3's core modules and DeepAgent architecture—covering the Harness philosophy, LangGraph internals, HITL, memory management, and guardrails to master production-grade AI Agent development.

Jul 9, 2026·7 min

Free Mermaid Diagram Editor: An Essential Code-Based Diagramming Tool for Developers

Explore the core features and use cases of the free Mermaid Diagram Editor. Supporting flowcharts, sequence diagrams, Gantt charts and more, it follows the 'diagrams as code' philosophy to enable version-controlled technical documentation for developers and architects.

Jul 8, 2026·3 min

Building LangGraph from Scratch in TypeScript: A Complete Agent Development Guide for Frontend Engineers

How can frontend developers get into AI Agent development with TypeScript? This guide covers a four-stage path from API calls to building LangGraph from scratch, including Zod, state management, and node-edge design.

Jul 8, 2026·7 min

LangChain.js + Nuxt.js: An AI Full-Stack Advancement Path for Frontend Engineers

Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.

Jul 8, 2026·7 min

How Quantum Computing + AI Supercomputing Could Crack Fusion's Fuel Dilemma

One of the biggest bottlenecks to fusion commercialization is the tritium fuel breeding and cycling problem. This article explores how quantum computing and AI supercomputers can jointly tackle fusion's fuel challenge.

Jul 7, 2026·5 min

OfficeCLI: A Command-Line Tool for AI Agents to Read and Write Office Documents

OfficeCLI is a command-line office suite for AI agents, supporting reading and writing of Word, Excel, and PowerPoint files—enabling efficient Office document automation without complex glue code.

Jul 7, 2026·6 min

Getting Started with LangChain: Unified Interfaces and Agent Development Explained

A beginner's guide to the LangChain open-source framework: explaining how to use the init_chat_model unified interface, tips for disabling DeepSeek's thinking mode, and core essentials of Agent development.

Jul 7, 2026·3 min

Loop Engineering: The New Paradigm for AI Self-Evolution

Loop Engineering by Anthropic is a new AI paradigm using four components—Mutator, Executor, Evaluator, Selector—to build self-iterating closed loops. Learn the architecture, use cases, and how to get started.

Jul 7, 2026·6 min

LangChain 1.0 Comprehensive Guide: Three Core Frameworks and Hands-On AI Application Development

Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.

Jul 7, 2026·6 min

Java Developer's Guide to AI Application Development: Building an Airline Intelligent Customer Service System

A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.

Building a Coding Agent with LLM: A De…

Jul 6, 2026·3 min

Building a Coding Agent with LLM: A Deep Dive into Simon Willison's llm-coding-agent Experiment

Simon Willison built llm-coding-agent — an open-source Claude Code-style agent — using just two prompts and TDD. Explore its tool design, bootstrapped dev process, and real-world test results.

Jul 6, 2026·6 min

What Is Vibe Coding? A Complete Breakdown of the LLM + Agent + Workflow Three-Layer Architecture

Vibe Coding, coined by ex-Tesla AI Director Karpathy, redefines AI programming. This article breaks down the LLM + Agent + Workflow three-layer architecture.