Version updated for https://github.com/milanhorvatovic/codex-ai-code-review-action to version v2.0.0. This action is used across all versions by 1 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary This GitHub Action, Codex AI Code Review, provides an automated, AI-driven code review process for pull requests using OpenAI Codex. It divides the workflow into three secure, isolated jobs: preparing code changes, performing parallel AI reviews on code chunks, and publishing inline comments and summaries back to the pull request. By automating detailed code reviews with customizable prompts and configurations, it streamlines the review process and ensures secure, efficient collaboration.

Version updated for https://github.com/milanhorvatovic/codex-ai-code-review-action to version v1.0.4. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The Codex AI Code Review GitHub Action automates code reviews for pull requests using OpenAI Codex. It analyzes code changes, generates structured feedback, and publishes inline comments, summaries, and a final verdict on the PR. Designed with a secure two-job architecture, it separates review and publishing tasks to ensure repository security while offering customizable prompts, models, and confidence thresholds to streamline the code review process.

Version updated for https://github.com/milanhorvatovic/codex-ai-code-review-action to version v1.0.3. This action is used across all versions by ? repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The Codex AI Code Review GitHub Action automates code reviews by leveraging OpenAI Codex to analyze pull requests and provide structured feedback, including inline comments, per-file summaries, and review verdicts. It operates with a two-job architecture for enhanced security, isolating the read-only review process from the write-access publishing of results. This action streamlines code review workflows, improves efficiency, and ensures consistent feedback by automating the analysis of code changes.