#Codex shortcuts
71 related articles
·6 min
Spec-Driven Development in Practice: The New AI Coding Paradigm from Andrew Ng × JetBrains
Andrew Ng partners with JetBrains to launch a Spec-Driven Development course, teaching how to direct AI coding agents via spec files to boost intent fidelity and build maintainable production apps.
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·3 min
GPT-5.6 Launches with Three Models: Sol/Terra/Luna and ChatGPT Work Reshape How We Work
OpenAI launches the GPT-5.6 family—Sol, Terra, and Luna—alongside ChatGPT Work, a new desktop app, and Sites. AI evolves from a chat tool into a true productivity partner, completing financial analysis, presentations, and cross-platform collaboration in one operation.
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·5 min
ChatGPT Work Officially Launches: How GPT-5.6 Is Reshaping the Way You Work
OpenAI launches the GPT-5.6 model family (Sol/Terra/Luna) and ChatGPT Work, enabling automated financial analysis, local file operations, Codex coding, and cross-app workflows—AI officially becomes a real work partner.
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·5 min
The Rise of AI Slop Code: How Teams Can Tackle the "Vibe Coding" Crisis
When an intern uses AI to generate professional-looking slop code, stand-ups balloon from 15 to 45 minutes. This article dissects why AI slop is hard to spot and offers practical team solutions.
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·4 min
How AI Is Rewriting the Economics of Software Rewrites: Costs Plummet, But Risks Remain
Once called "the single worst strategic mistake," code rewrites are back on the table thanks to AI. Explore how AI slashes comprehension, translation, and validation costs — and what risks remain.
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·5 min
GPT-5.6 Launches: Three Product Lines + Government Approval — The Rules of the AI Industry Are Being Rewritten
OpenAI releases GPT-5.6 with three models — Sol, Terra, Luna — bringing major gains in coding and cybersecurity. More critically: the U.S. government now reviews AI model releases, making frontier AI regulation the new industry norm.
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·6 min
The Seven Core Components of Building Long-Running AI Agents
An in-depth look at the seven core components for building long-running AI agents: Goal, Evaluator, Verifier, Outer Loop, Orchestration, Observability, and Memory. Master this control system for reliable autonomous agents.
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·7 min
Harness Engineering: Core Methodology and Practical Guide for Enterprise-Level AI Programming
Can AI really replace programmers? This article explains Harness Engineering principles and its three evolutionary stages, revealing real pain points of enterprise AI programming.
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·6 min
herder: A Terminal Multiplexer for Multiple Coding Agents — Say Goodbye to Session Management Chaos
herder is a terminal multiplexer for coding agents like Claude Code and Codex, combining tmux power with mouse support, agent state awareness, and session persistence for efficient multi-agent workflows.
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·3 min
Grok CLI + Fish Audio in Practice: Building a Full-Stack AI Voice Studio at Zero Cost
Fish Audio offers free S2.1 Pro TTS API in 83 languages. See how creator KatKat used Grok CLI's Composer 2.5 and DeepSeek to build Voxweaver Studio in 42 minutes.
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Nimbalyst: An Open-Source Visual Workb…
·2 min
Nimbalyst: An Open-Source Visual Workbench That Unifies Codex and Claude Code
Nimbalyst is an open-source AI coding workbench that unifies Codex and Claude Code with Kanban project management, planning workflows, and AI Commits — no extra subscription needed.
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·3 min
Complete Guide to Codex /goal Command: Making AI Execute Long Tasks Without Cutting Corners
Deep dive into OpenAI Codex's /goal slash command: four core mechanisms that prevent AI "fake completion," enforce stop conditions, and support task resumption. Includes full prompt structure and permission configuration for complex automation tasks.
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·3 min
Deep Dive into the /goal Command: The Ultimate Tool for Managing Long-Running AI Agent Tasks
A deep dive into the /goal command in Claude Code and Codex — covering positioning, real-world cases, and a three-element Prompt framework (Goal, Termination Condition, Constraint Rules) for stable long-running AI Agent tasks.
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·3 min
Codex Hands-On from Scratch: Building a Full-Stack World Cup App Without Writing Code
Learn how to build a full-stack World Cup app with OpenAI Codex without writing code, covering multi-session concurrency, MCP voice synthesis, Skill encapsulation, and scheduled task automation.
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·3 min
6 Core Skills to Stay Irreplaceable in the AI Era: From Getting Started to Building Your Competitive Moat
Master 6 core skills for the AI era: become the AI expert in your circle, develop taste, context engineering, rapid iteration, automation systems, and multiple income streams.
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·2 min
AI Coding Terminal Tools Compared: cmux vs Ghostty+tmux vs iTerm2
In-depth comparison of cmux, Ghostty+tmux, iTerm2, and Mac Terminal for AI coding. Discover why cmux's zero-config setup, sidebar management, and smart alerts make it the best terminal for heavy AI programming users.
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·2 min
DeepSeek GUI Desktop: A Free, Open-Source Alternative to Codex
Hands-on review of DeepSeek GUI Desktop, a free open-source Codex alternative. Local desktop AI agent with strong Chinese writing and coding, zero barriers, and ultra-low cost.
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·3 min
The Complete Guide to OpenAI Codex CLI: From Installation and Configuration to Enterprise-Level Practice
In-depth guide to OpenAI Codex CLI: covering installation, agents.md design, multi-agent collaboration, MCP protocol integration, and a RAG customer service project.
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·3 min
Complete Guide to OpenAI Codex: Installation, Configuration, and Practical Tips
Complete guide to OpenAI Codex APP covering installation, sandbox permissions, multi-task parallelism, Steer function, and practical tips for developers.
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·3 min
Microsoft Build 2026: In-Depth Analysis of the In-House Reasoning Model MAI Thinking-E and the Full AI Product Suite
Microsoft Build 2026 unveils MAI Thinking-E, its first in-house reasoning model with 1T MoE architecture, plus 6 vertical AI models. Deep dive into performance, strategy, and industry trends.
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