#LLM debugging
1121 related articles
Product Reviews·2 min
Agent Memory: Giving AI Coding Agents Persistent Memory Across Sessions
Agent Memory is an open-source local memory layer providing persistent, cross-session, cross-tool long-term memory for AI coding agents like Claude Code, Cursor, and Codex.
Read more →
Tech Frontiers·2 min
Claude Opus 4.8 Thinking Effort Calibration Explained: A Critical Optimization Direction for AI Reasoning Models
Anthropic releases Claude Opus 4.8 with optimized thinking effort calibration. This article explains what it is, why it matters for AI reasoning models, and its impact on industry competition.
Read more →
Product Reviews·2 min
Claude Opus 4.8 Real-World Testing: What $50 in Tokens Actually Gets You
In-depth testing of Claude Opus 4.8 across game dev, UI reproduction, 3D scenes, and tool building—$50 in Tokens reveals its true capabilities and limits.
Read more →
Tech Frontiers·1 min
Windsurf Integrates Claude Opus 4.7 Fast Mode with 2.5x Speed Boost
Windsurf integrates Claude Opus 4.7 fast mode with 2.5x speed boost while retaining full intelligence. Analysis of its impact on developer productivity and AI coding tool competition.
Read more →
Product Reviews·3 min
Claude Code with MiniMax M2: Testing a Low-Cost AI Coding Solution Across Three Real Projects
Real-world testing of MiniMax M2 as Claude Code's backend model across three projects: framework migration, iOS development, and full-stack MVP — at just 8% of Claude's price.
Read more →
Tutorials·2 min
Getting Started with Claude Code: 5 Core Advantages Over Regular AI Coding Tools
Deep dive into the core differences between Claude Code and regular AI chat tools across 5 dimensions: interaction, context understanding, execution, memory, and tool invocation.
Read more →
Tutorials·2 min
LangGraph 0.5.3 + MCP Agent Development in Practice: Security Authentication & Deployment Guide
LangGraph 0.5.3 introduces MCP server security authentication and agent deployment solutions. Combined with Qwen3 models, it provides a complete production-grade AI agent development stack.
Read more →
Tutorials·3 min
Bolt.DIY + Claude 3.7 Sonnet: Building Full-Stack Apps with Zero Code
Learn how to use open-source Bolt.DIY with Claude 3.7 Sonnet to build full-stack web apps with zero code. Includes local deployment tutorial, hands-on demo, and cost analysis—an AI course platform built in 13 minutes for $3.
Read more →
Tutorials·3 min
Bolt DIY + Claude 3.7: Complete Guide to Building a Zero-Cost AI Coding Environment
Learn how to build a local AI coding environment with open-source Bolt DIY and Claude 3.7 Sonnet API. Build complete apps for just 11 cents, with free model alternatives and full deployment workflow.
Read more →
Tutorials·2 min
How to Choose an AI Coding IDE: A Complete Comparison of Cursor, Trae, and Windsurf
A detailed comparison of mainstream AI coding IDEs including Cursor, Trae, and Windsurf, covering Auto mode, Codex integration, and more to help developers at all levels find the best AI coding tool.
Read more →
Tutorials·3 min
AI Programming in Practice: A Complete Breakdown of Building a Website from Scratch in 7 Days
A developer used Claude Code and DeepSeek to build and deploy a complete website from scratch in 7 days. 99% AI-written code, AI-generated data, with full process breakdown and cost analysis.
Read more →
Research·2 min
Optimize Anything: One API to Unify Optimization of Code, Prompts, and Agent Architectures
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
Read more →
Tutorials·3 min
Getting Started with LangChain: Core Concepts and Hands-On Guide for LLM and Agent Development
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
Read more →
Tech Frontiers·3 min
June AI Showdown: Mythos, Sonnet 4.8, and GPT-5.6 All Revealed
June 2025 becomes AI's densest release month: Anthropic Mythos nears launch, Claude Sonnet/Opus 4.8 skip-level upgrades, GPT-5.6 rapid iteration, DeepSeek V4 Pro permanent 75% price cut.
Read more →
Tutorials·3 min
Claude Code Installation & Agent Hands-On Tutorial: Easy Enough for Non-Developers
Step-by-step Claude Code installation guide with Volcengine GLM5.1 Chinese LLM. Hands-on Agent demos for Bilibili data scraping and ComfyUI setup. No coding required.
Read more →
Industry Insights·3 min
Warp Bets on GPT-5.5: How AI Coding Agents Are Reshaping Open-Source Development Workflows
Warp deeply integrates GPT-5.5 to build cross-environment AI coding agents spanning local terminals, cloud deployment, and open-source collaboration. Explore its architecture, open-source strategy, and differentiation from GitHub Copilot.
Read more →
Research·2 min
How GitHub Is Building a General-Purpose Accessibility AI Agent: Lessons Learned and Technical Challenges
GitHub is building a general-purpose accessibility AI Agent to automatically detect and fix software accessibility issues. Explore the technical challenges, human-AI collaboration, and industry impact.
Read more →
Tutorials·3 min
Cursor Multi-Agent Workflow: A Practical Guide to Main Thread & Grunt Collaboration
Learn the Cursor "Main Thread & Grunt" multi-agent workflow: use a high-tier model for complex tasks and a low-tier model for simple tasks in parallel to maximize AI coding efficiency.
Read more →
Product Reviews·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
Read more →
Industry Insights·2 min
Behind the Gemini CLI Explosion: Why the Terminal Is Becoming the Ultimate Gateway for AI Agents
Google's open-source Gemini CLI hit 100K GitHub stars. This article analyzes why the terminal is becoming the ultimate AI Agent gateway through execution chains, infrastructure integration, and more.
Read more →