AI Code Review at Scale: How OpenAI’s Codex Reviewer Earns Developer Trust
19 days ago 高效码农A Practical Approach to Verifying AI-Generated Code at Scale: Lessons from OpenAI’s Codex Reviewer Core question this post answers: When AI can write code far faster than humans can review it, how do we build a verification system that engineers actually trust and use every day? On December 1, 2025, OpenAI published one of the most concrete alignment progress updates of the year: a detailed case study of the dedicated code-review agent shipped with GPT-5-Codex and GPT-5.1-Codex-Max. This isn’t a research prototype — it’s running on every internal pull request at OpenAI, used proactively by engineers via the /review CLI …
OpenAI Codex CLI: Your AI Coding Companion in the Terminal
8 months ago 高效码农🚀 Meet Your New AI Pair Programmer Picture this: At 2 AM, fueled by coffee, you’re collaborating with an AI that reads code, fixes bugs, and even writes test suites – all within your terminal. This isn’t science fiction; it’s the reality shaped by OpenAI Codex CLI, the intelligent coding assistant redefining developer workflows. ⚡ Zero-Friction Setup Forget complex configurations. With two terminal commands, you’ll unlock next-gen coding superpowers: npm install -g @openai/codex # Install globally export OPENAI_API_KEY=”your-key-here” # Fuel the engine Now command your AI partner using natural language: codex “Refactor this legacy React class component to Hooks” Or unleash full automation: codex –approval-mode full-auto “Build a TODO app with particle animations” Watch it scaffold files → install dependencies → run tests → commit changes – all …
OpenAI Launches o3 and o4-mini: Next-Gen AI Reasoning Models Redefining Multimodal Intelligence
8 months ago 高效码农Introduction: A Leap Forward in AI Reasoning On April 16, 2025, OpenAI introduced o3 and o4-mini, two groundbreaking AI reasoning models that redefine how machines process complex tasks. These models mark a significant evolution from rapid response systems to deeply analytical tools capable of human-like reasoning. Designed for both developers and end-users, they combine advanced problem-solving with seamless tool integration, setting new standards in AI performance and accessibility. Core Innovations: Three Key Advancements 1. Autonomous Tool Orchestration o3 and o4-mini excel at dynamic tool integration, enabling them to autonomously select and combine resources to solve multifaceted problems. Key capabilities include: …