#LLM agent
3015 related articles
Industry Insights·2 min
Interview with Claude Code Lead: The Truth and Future Behind 80x Growth
Anthropic Claude Code lead Boris Cherny reveals the secrets behind 80x demand growth, 250% engineer productivity gains, Token Maxing controversy, and the future of AI agents.
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Tutorials·2 min
Replicating Kiro's Spec-Driven Development in Trae: A Free Alternative Tested and Compared
Amazon Kiro pulled offline after crashes. Free Chinese IDE Trae replicates its Spec-driven dev workflow with auto-execution. Side-by-side comparison of requirements, design docs, and task lists.
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Tutorials·2 min
Pi Agent in Practice: A Complete Guide to the Minimalist Terminal AI Coding Assistant
Hands-on experience with Pi Agent, an open-source terminal AI coding assistant, covering agents.md config, Terraform automation, and session management for DevOps engineers.
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Tutorials·2 min
Codex /goal Command Tutorial: A Practical Guide from AI Q&A to Automated Task Execution
Learn how to use Codex CLI's /goal command with a five-part goal template, suitable task types, and best practices for shifting from prompt engineering to task engineering.
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Product Reviews·2 min
Deep Dive into Warren: A Fully Autonomous AI Coding System Where One Person Uses Agents to Handle the Entire Development Workflow
Deep dive into Warren, a fully autonomous AI coding system. Learn how developer Jim West uses multi-agent collaboration to automate the entire pipeline from intent definition to production deployment.
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Tutorials·2 min
Tutorial: Protecting Sensitive Files in Claude Code and Cursor
Learn how to configure sensitive file exclusion in Claude Code and Cursor to protect API keys, certificates, and .env files from being read and leaked by AI tools.
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Tutorials·2 min
Codex User Guide: Five Key Concepts for Mastering Agent Workflows
Codex is an Agent, not ChatGPT. Learn the five key concepts — Thread, Workspace, Tools, Patch, Verification — to master Codex's agent workflow effectively.
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Tutorials·2 min
8 Core Concepts of AI Programming: From Chat Mode to Engineering Mode
A systematic breakdown of 8 core AI programming concepts: Agent, Sandbox, Permissions, Cloud.md, MCP, Skills, Subagents, and Non-interactive — evolving from chat mode to engineering mode.
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Industry Insights·2 min
GPT-5.5 Reduces Error Rate by 46% in Databricks Document Parsing: Real-World Data and Architecture Breakdown
Databricks tests show GPT-5.5 cuts error rates by 46% in complex document parsing, the only model to break 50% accuracy. Detailed analysis of its breakthroughs in numerical parsing and multi-agent architecture.
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Tutorials·3 min
Open Code Practical Guide: Building an AI Coding Team with Multi-Agent Systems
Deep dive into Open Code's core architecture: main agents, sub-agents, Skills extensions, JWT security, and multi-platform deployment for building efficient AI coding teams.
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Tutorials·2 min
Claude Code Installation & Usage Guide: Quick Start with Terminal, Web & IDE Modes
A detailed guide to installing and using Claude Code in three modes — Terminal, Web, and IDE — with cost-saving tips and common pitfall solutions for beginners.
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Tutorials·2 min
Connect Claude Code to DeepSeek Model: Complete Setup in 2 Minutes
Step-by-step guide to connect Claude Code with DeepSeek model. Complete the setup in 4 steps: install Node.js, get API Key, configure environment variables, and start coding with AI.
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Tutorials·2 min
Unattended AI Coding in Practice: A Guide to Long-Running Task Automation with Cloud Code
How to run Cloud Code AI coding tools unattended. Covers permission configs, Git Worktree isolation, non-interactive task design, and safety boundaries.
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Expert Opinions·2 min
The Execution Paradox of AI Coding Agents: Why They Talk the Talk but Don't Walk the Walk
AI coding agents excel at explaining why to do something but often fail to actually do it. This article analyzes LLM analysis paralysis and offers strategies for developers.
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Tech Frontiers·2 min
AI Agent Resource Runaway: When Your AI Assistant Burns Through All Your Tokens Doomscrolling TikTok
A viral tweet reveals core risks in autonomous AI Agent systems: goal drift and token resource runaway. Deep analysis of AI Agent attention problems, hidden costs, and developer mitigation strategies.
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Tech Frontiers·1 min
Devin Launches Multi-Instance Parallel Mode: AI Programming Evolves from Solo Operations to Army-Scale Collaboration
Devin launches multi-instance parallel mode, letting developers dispatch multiple AI Agents for different tasks simultaneously. Analysis of its impact on development efficiency and how multi-Agent collaboration redefines the developer role.
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Industry Insights·2 min
How MCP Becomes a Deep Extension Point for Agent Platforms: Architecture Design and Practice
Deep dive into MCP protocol architecture in Agent platforms, covering MCP Proxy design, tool invocation for human-in-the-loop collaboration, permission integration, and advantages over Skill approaches.
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Tutorials·2 min
The Foundation of Agent Platforms: Practical Guide to Session Event Abstraction, Transport, and Storage
Practical guide to Session Event engineering in production Agent platforms: Universal Event abstraction, three-party streaming transport with fault tolerance, and PostgreSQL storage evolution.
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Tutorials·1 min
SourceCheck: Replace Copying with Citations to Build Verifiable and Trustworthy LLM Output
SourceCheck is an open-source tool that replaces bulk copying with metadata citation protocols, combining deterministic verification and self-correction loops to solve LLM hallucination problems.
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Tutorials·2 min
Oz Platform in Practice: A Complete Configuration Guide for AI Agents That Auto-Earn Money and Fix Bugs
Complete guide to Oz agent orchestration: AI agents auto-update Udemy coupon pages for $1K+/month passive income and auto-fix GitHub bugs via triggers, environments, and skills.
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