{"id":22242311,"url":"https://github.com/rafat3000/ai-review-code-in-docker-","last_synced_at":"2026-05-02T20:41:12.221Z","repository":{"id":264701330,"uuid":"894138876","full_name":"Rafat3000/AI-Review-code-in-docker-","owner":"Rafat3000","description":null,"archived":false,"fork":false,"pushed_at":"2024-11-25T20:51:15.000Z","size":13,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-06T21:46:59.758Z","etag":null,"topics":["ai","docker","mlflow","peewee","python","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Rafat3000.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-25T20:29:44.000Z","updated_at":"2024-11-26T08:38:18.000Z","dependencies_parsed_at":"2024-11-25T21:41:36.265Z","dependency_job_id":null,"html_url":"https://github.com/Rafat3000/AI-Review-code-in-docker-","commit_stats":null,"previous_names":["rafat3000/ai-review-code-in-docker-"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Rafat3000/AI-Review-code-in-docker-","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rafat3000%2FAI-Review-code-in-docker-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rafat3000%2FAI-Review-code-in-docker-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rafat3000%2FAI-Review-code-in-docker-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rafat3000%2FAI-Review-code-in-docker-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Rafat3000","download_url":"https://codeload.github.com/Rafat3000/AI-Review-code-in-docker-/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rafat3000%2FAI-Review-code-in-docker-/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279164813,"owners_count":26117795,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-16T02:00:06.019Z","response_time":53,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","docker","mlflow","peewee","python","streamlit"],"created_at":"2024-12-03T04:15:38.546Z","updated_at":"2025-10-16T07:16:51.164Z","avatar_url":"https://github.com/Rafat3000.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI-Review-code-in-docker-\n\n# AI Code Review Assistant\n\nThis repository contains the source code for **AI Code Review Assistant**, a Streamlit-based web application designed to analyze and review programming code using AI-powered insights. The application supports multiple programming languages and provides feedback on code quality, maintaining a history of reviews for reference.\n\n---\n\n## Features\n\n- **Interactive Sidebar**: View the last five code reviews directly from the sidebar.\n- **Multi-language Support**: Select from a list of supported programming languages.\n- **Code Review with AI**: Analyze your code quality using AI and receive actionable feedback.\n- **Save Review History**: Automatically stores code review data, language, and quality score for future reference.\n\n---\n\n## Installation\n\n1. Clone the repository:\n\n   ```bash\n   git clone https://github.com/your-username/ai-code-review-assistant.git\n2- Navigate to the project directory:\ncd ai-code-review-assistant\n\n3- Install the required Python libraries:\npip install -r requirements.txt\n\n4- Create and configure your database (if not pre-configured). You may need to customize the database.py file for your specific database settings.\n\n------------------------\n\n# Usage\n\n1- Run the application:\nstreamlit run main.py\n2- Open the app in your web browser at http://localhost:8501.\n3- Use the interface to:\n  - Select the programming language.\n  - Input your code for review.\n  - View the AI-generated review and code quality score.\n4- Access recent reviews from the sidebar.\n\n-------\n\n## Project Structure\n\n- main.py: The primary application file containing the Streamlit app logic.\n- database.py: Handles database initialization and operations for storing and retrieving reviews.\n- ai.py: Contains the AI logic for analyzing and reviewing code.\n- utils.py: Utility functions, such as extracting quality scores from AI reviews.\n- config.py: Configuration settings, including supported programming languages.\n\n_____\n\n## Requirements\n\n- Python 3.8 or higher\n- Streamlit\n- Database support (SQLite, MySQL, or similar)\n- AI dependencies (specified in requirements.txt)\n\n-------\n## Customization\n\n- Add or remove programming languages by editing the PROGRAMMING_LANGUAGES list in config.py.\n- Adjust database configurations in database.py to suit your environment.\n- Modify the AI logic in ai.py to integrate with different AI models or APIs.\n\n--------\n## Contribution\n\nContributions are welcome! Please fork the repository, create a new branch, and submit a pull request with your changes.\n\n\n--------\n## License\n\nThis project is licensed under the MIT License. See the LICENSE file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frafat3000%2Fai-review-code-in-docker-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frafat3000%2Fai-review-code-in-docker-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frafat3000%2Fai-review-code-in-docker-/lists"}