#Codex CLI
1173 related articles
·4 min
How Should Legal Education Transform in the AI Era? A Complete Guide from Curriculum Reform to Talent Development
Generative AI is profoundly disrupting the legal profession. This article explores AI's impact on law, law school curriculum reform, and the core competencies future lawyers need, including critical judgment, AI proficiency, and ethical literacy.
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·4 min
AI Coding Tools in Practice: Which Ones Actually Stuck with the Team?
A 12-person product team shares real-world experiences with Cursor, Codex, Claude Code, and CodeRabbit—exploring efficiency plateaus, scenario matching, and selection criteria for AI coding tools that actually stick.
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·4 min
From Solo Analyst to Team Data Platform: A Practical Guide to Leveling Up Your Tech Stack
How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.
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·5 min
From Chat to Agent: Automating Your Entire Business Workflow with AI Agents
Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.
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·3 min
Understand Anything: The AI Skill That Turns Code into Interactive Knowledge Graphs
Understand Anything is a high-star open-source GitHub skill that runs static analysis on any codebase and generates interactive knowledge graphs. It supports Claude Code, Cursor, Copilot and other agents, letting engineers ask questions in natural language with path references.
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·3 min
Understand Anything: The AI Skill That Turns Code into an Interactive Knowledge Graph
Understand Anything is a high-star open-source GitHub skill that performs static analysis on any codebase to generate an interactive knowledge graph, supporting Claude Code, Cursor, Copilot and more.
Read more →
·3 min
Understand Anything: The AI Skill That Turns Code into an Interactive Knowledge Graph
Understand Anything is a high-star open-source GitHub skill that performs static analysis on any codebase to generate interactive knowledge graphs, supporting Claude Code, Cursor, Copilot and more.
Read more →
·3 min
Herder: The Open-Source Terminal Tool for Unified Management of Multiple AI Coding Agents
Herder is an open-source terminal multiplexer for macOS and Windows that unifies management of Claude Code, Codex, OpenCode, and other AI coding agents—with persistence and remote reconnection.
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·3 min
Sub-Second Code Search: Building an Indexing Plugin with Cursor + Codex
How to achieve millisecond-level code search in massive repositories with hundreds of thousands of files? A hands-on look at building a code search plugin with Cursor + Codex, powered by Lucene inverted indexing and BM25 ranking.
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·3 min
Sub-Second Code Search: Building an Indexing Plugin with Cursor + Codex
How to achieve millisecond-level code search in a repo with hundreds of thousands of files? Building a search plugin with Cursor + Codex, powered by Lucene inverted indexing and BM25 ranking.
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·2 min
Hands-On with the CodeWorld Plugin: An AI Photo-Editing Tool Where You Point and It Changes
CodeWorld is a Codex-native infinite canvas plugin that lets you edit photos directly by drawing annotated leader lines. In our test, editing three spots at once only changed the marked areas while preserving overall detail—beginner-friendly, one line to install.
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·2 min
GitHub Weekly Trending: 5 AI Coding Tools from Beginner to Advanced
This week's GitHub trending focuses on AI coding: Skills sets rules for Agents, Omniroute is a never-down AI gateway, Code Review Graph is a code knowledge graph, PI is an open-source Agent toolbox, and AI Engineering from Scratch teaches from zero.
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·2 min
GitHub Weekly Trending: 5 AI Coding Tools from Beginner to Advanced
This week's GitHub trending focuses on AI coding: Skills sets rules for Agents, Omniroute is a never-down AI gateway, Code Review Graph builds a code knowledge graph, PI is an open-source Agent toolkit, and AI Engineering from Scratch teaches from the ground up.
Read more →
·4 min
Vibe Coding in Practice: AI-Assisted Refactoring of a Unity Game's SO Architecture
Learn how to use Vibe Coding to collaborate with AI in refactoring a Unity game, introducing ScriptableObject (SO) data architecture, with hands-on tips.
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·3 min
Vibe Coding at Big Tech: Frontend Practices and an AI Programming Interview Guide
An in-depth look at Vibe Coding (AI-assisted programming) at major tech companies. With three real AI coding interview questions from firms like ByteDance, we analyze how frontend developers can master AI programming and rebuild core competitiveness.
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·4 min
Vibe Coding in Practice: Refactoring a Unity Game's SO Architecture with AI
A deep dive into refactoring a Unity game with Vibe Coding and AI, introducing ScriptableObject (SO) architecture—covering visual map editors, Codex remote control, and collaboration pitfalls.
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·3 min
The Vibe Coding Trap: You're Just Producing Garbage Faster
Vibe Coding lets non-coders build apps and websites fast with AI, but efficiency gains don't equal value gains. This article dissects the core trap and offers the right order: needs first, code later.
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·3 min
Vibe Coding in Practice: Building a Personal Website with AI from Scratch
Build a personal website with Vibe Coding even from scratch! Practical tips for collaborating with AI via Codex and DeepSeek: have AI restate requirements, use screenshots to locate, change one thing at a time, and handle long Chinese text.
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·3 min
Vibe Coding in Practice: Building a Personal Website with AI from Zero
Build a personal website with Vibe Coding even with zero coding background! Practical tips for collaborating with AI via Codex and DeepSeek: have AI restate needs, use screenshots, change one thing at a time, and deploy your site with ease.
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·3 min
The Trap of Vibe Coding: You're Just Making Garbage Faster
Vibe Coding lets non-coders build apps and sites fast with AI, but faster isn't better. This piece dissects its core trap—building isn't succeeding—and offers the right "demand first, code later" order plus three questions to gauge a project's value.
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