#API wrapper
339 related articles
·3 min
LangChain + MCP + Agent: A Complete Guide to Enterprise-Grade AI Agent Development
A deep dive into LangChain, LangGraph, MCP, and enterprise AI Agent development: covering Streamable HTTP updates, DeepSeek R1 Function Calling limits, and Qwen3 agent capabilities.
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·2 min
Vibe Coding vs AI Engineering: A Practical Enterprise-Level Comparison Guide
A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.
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·2 min
Free GPT Access in China? The Truth and Risks Behind AI Aggregator Platforms
Are 'free, no-VPN' AI aggregator platforms in China trustworthy? We break down how API relay platforms work, their data risks, hidden costs, and safer alternatives.
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·3 min
lx: 72 Local CLI Tools That Bring Ollama Models Into Your Terminal
lx is a set of 72 single-purpose CLI tools running on local Ollama models — no API key, fully offline. Supports git commit generation, log debugging, and more. Rust binaries with <15ms cold start; 7–8B models work great.
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·3 min
Building a Video Generation Agent: Lessons Learned from Brief to Storyboard
A developer's hands-on account of building a brief-to-storyboard video Agent: JSON errors, missing fields, pacing issues — and how JSON Schema, retry loops, and MCP tools solved them.
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·3 min
Intent-Driven Development: Claude Code's Evolving Paradigm and Practical Tips
Anthropic engineer Lydia and YK Sugi break down Claude Code's Intent-Driven Development paradigm, covering dynamic workflows, auto mode, sub-agent orchestration, and the evolving role of software engineers in the AI era.
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·4 min
GPT-5.6 & OpenAI Super App Deep Dive: Loop Engineering as the New Paradigm Replacing Prompt Engineering
Deep dive into GPT-5.6 (Sol/Terra/Luna) and OpenAI's Super App: Loop Engineering, Parallel Agents, and Computer Use — unpacking the shift from prompt to loop engineering with real test cases and a startup framework.
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Building AI Engineering Skills from Sc…
·2 min
Building AI Engineering Skills from Scratch: A Deep Dive into the Viral GitHub Learning Path
A deep dive into 'ai-engineering-from-scratch,' the GitHub project with 38K+ stars that helps developers build real AI engineering skills through a Learn-Build-Ship methodology.
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·3 min
The Complete Ollama Guide: The Simplest Way to Run LLMs Locally
Ollama has 9M active developers and 170K GitHub stars. This guide covers its features, architecture, business model, and use cases for running LLMs locally.
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·2 min
GPT-5.6 Truth Check: Celestial Model Names and the Risks of Third-Party 'Direct Access' Services
A viral video claims GPT-5.6 uses Sol/Terra/Luna celestial model names. We break down the suspicious benchmarks, fake model names, and serious risks of third-party 'direct access' services.
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·3 min
ASE Control Panel: How STATE_SYNC Tokens Enable AI State Persistence
A deep dive into ASE's core mechanism — the STATE_SYNC checkpoint token — and how it transforms stateless LLMs into stateful AI systems for complex multi-turn workflows.
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·2 min
When Self-Hosting Communities Get Drowned in AI Slop: Where Did the Technical Passion Go?
A Reddit post sparks broad resonance: self-hosting communities are being diluted by AI-generated apps and homogenized content. Exploring "AI slop," vibe coding, and how to preserve genuine technical passion.
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Agnost AI: How to Automatically Extrac…
·2 min
Agnost AI: How to Automatically Extract User Feedback from AI Agent Conversations
Agnost AI, a YC-backed startup, automatically extracts user feedback and product insights from AI Agent conversations. Deep dive into its positioning, technology, and challenges.
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·3 min
Coze for Beginners: A Complete Guide to Building AI Agents
Coze is ByteDance's low-code AI Bot platform — no coding required. Learn the differences between domestic and international versions, core features, and why now is the best time to start building AI agents.
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Production-Grade LangGraph Template: A…
·2 min
Production-Grade LangGraph Template: A Practical Guide to Engineering AI Agents for Production
A deep dive into production-grade LangGraph templates covering state management, observability, error handling, and containerized deployment to bridge the gap from demo to production.
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·2 min
AI Truly "Gets Its Hands On" Your Phone: Android Remote Control MCP v1.9.0 Deep Dive
Android Remote Control MCP v1.9.0 adds ChatGPT support, OAuth 2.1 auth, and major WebView reliability fixes. Let AI Agents operate any phone app like a human.
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Coasty: API Infrastructure Built for C…
·2 min
Coasty: API Infrastructure Built for Computer-Use Agents
Coasty (YC S26) is an API platform for computer-use agents, wrapping screenshot capture, mouse/keyboard control, and session management into a unified interface so developers can focus on agent logic.
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·3 min
Complete AI Agent Development Learning Path: From Core Principles to Enterprise Deployment
A structured AI Agent learning path covering core principles, prompt engineering, tool use, multi-agent systems, and frameworks like LangChain, CrewAI, and Dify for enterprise deployment.
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·3 min
What Should AI Agents Require Human Approval For? A Practical HITL Framework
Too much human approval kills efficiency; too little creates risk. This article provides a practical HITL framework covering reversibility, blast radius, data flow, and tiered thresholds to help teams balance safety and autonomy in AI Agent deployments.
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After Getting Started with AI/ML: Shou…
·3 min
After Getting Started with AI/ML: Should You Pursue an Internship or Continue Studying?
Already trained models and implemented neural nets from scratch — should you apply for internships or keep studying? A practical guide to entry-level AI roles and how to advance.
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