AI Code Review at Scale: How OpenAI’s Codex Reviewer Earns Developer Trust
21 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 …
How to Build a Self-Validating AI-Assisted Programming Workflow
1 months ago 高效码农Getting AI to Execute Smooth Combos: Coding, Deployment, Self-Testing, and Bug Fixing In the increasingly popular field of AI-assisted programming, many developers have noticed an interesting phenomenon: AI can generate code rapidly, but this code often contains various minor issues that require repeated manual inspection and modification. This is akin to an intern who writes extremely fast but never self-reviews, consistently submitting work full of flaws. We refer to this as the “last mile” problem in AI programming. The Dilemma of AI Programming: Why is Generated Code Never Perfect? Imagine this scenario: You describe a functional requirement to an AI, …