#automated hiring
142 related articles
·4 min
Vibe Coding Methodology for Non-Programmers: Building an AI Development Loop with Automated Testing + Knowledge Accumulation
How can non-programmers develop efficiently with AI? This guide details end-to-end automated testing and knowledge accumulation to build a self-verifying Vibe Coding development loop.
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·4 min
Building a WeChat Mini Program with AI + Cursor: A Full Workflow from Ideation to Frontend
A hands-on guide using DeepSeek, Claude, and GPT for product ideation, then Cursor to build a WeChat Mini Program. Four iterations from zero to frontend.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·4 min
Claude Code in Practice: Completing a Complex Payment System Integration in 4 Hours for $60
Real case study showing how Claude Code + Opus 4.7 completed a complex payment system integration in 4 hours for $60, covering CC Switch setup, prompt engineering, and model selection strategies.
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·3 min
Must-Have Claude Code Plugins: 10 Plugins to Build a Complete Development Environment
10 curated Claude Code plugins covering automation, real-time docs, browser testing, design implementation, and security scanning, with installation order and configuration tips.
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·3 min
Career Transition Guide for AI Product Managers: Pick the Right Track Across Three Industry Layers
A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.
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·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
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·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
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·2 min
How OpenAI's Finance Team Does 100% of the Work with 20% of the Headcount
OpenAI's finance head Stacie Faggioli reveals how her AI-native team does 100% of the work with just 20% of typical headcount, using Agents, ChatGPT for Excel, and Codex.
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·3 min
GitHub Beginner's Guide: Common Questions and Practical Answers for Newcomers
Comprehensive GitHub FAQ for beginners covering Git vs GitHub, repository basics, branching and merging, plus practical tips to quickly get started with version control and collaboration.
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·3 min
xAI Hiring Chinese-Speaking Trainers at $45/Hour, OpenAI Rebuilds Robotics Team
xAI opens remote Chinese AI Tutor roles at $35-45/hr to train Grok's voice capabilities. OpenAI rebuilds its robotics team, Microsoft preps a proprietary coding model, and a company accidentally spends $500M on AI in one month.
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·4 min
The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model
Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.
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Product Reviews·4 min
Generic Agent: An Open-Source AI Agent That Uses Only One-Tenth the Tokens of Comparable Products
Generic Agent is an open-source AI Agent that reduces token consumption by 90% through minimalist tool design, four-layer memory hierarchy, and experience reuse. Supports computer operation, browser automation, Feishu integration, and more.
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Tutorials·4 min
Skills vs Coze vs Dify: A Hands-On Comparison — Which AI Tool Is Best for Auto-Generating Test Cases?
Hands-on comparison of Skills, Coze, and Dify for AI-powered software testing: auto-generating test cases from PRDs, performance reports, and requirements Q&A bots.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Tutorials·3 min
Building a Fully Automated Marketing System with AI: A Monetization Guide for Indie Developers
A detailed guide on how indie developers can use AI tools to build fully automated marketing systems—from MCP research to Skills systems to automated content production and traffic engines.
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Deep Dives·4 min
Can AI Agents Replace a Development Team? A Practical Guide for Non-Technical People
Can non-technical people use AI Agents to build virtual dev teams? From CEO Agent to Developer Agent, we analyze the theory vs. reality and offer a practical implementation guide.
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Expert Opinions·2 min
Karpathy's Epic Interview: In the Software 3.0 Era, Understanding Is Humanity's Only Moat
OpenAI co-founder Karpathy explains the Software 3.0 paradigm revolution at AI Ascent: from Vibe Coding to Agentic Engineering, programming's essence is fundamentally shifting. When AI can refactor 100K-line codebases, understanding becomes humanity's ultimate moat.
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Tutorials·3 min
Building an On-Chain Trading Bot Management Dashboard with AI — Zero Coding Required
Learn how to use the open-source AI framework Bolt with DeepSeek LLM API to build a visual on-chain trading bot management dashboard through natural language — zero coding required.
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Expert Opinions·3 min
Gumloop Founder: 50 AI Agents Running Your Company? Don't Fall for It
Gumloop founder Max shares the truth about AI automation: processing 4M daily workflows taught him why 50 AI Agents running a company is a lie, and why the real AI philosophy is acceleration, not replacement.
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