Individual Publisher
Flags items published by individuals rather than verified companies or organizations, indicating potential risks due to limited accountability and unclear operational standards
Flags items published by individuals rather than verified companies or organizations, indicating potential risks due to limited accountability and unclear operational standards
AI-powered analysis of the extension's source code for security insights and risk assessment.
Gemini Coder is a Visual Studio Code extension designed to enhance AI Studio chats by initializing them with user prompts and selected contexts. It also supports context-aware code completions using a large context.
Network Request:
Rn.post(n.endpointUrl, i, { headers: { "Authorization": `Bearer ${n.bearerToken}` } })
This snippet shows an HTTP POST request to an AI model endpoint with authorization headers.
File System Watcher:
this.watcher = t.workspace.createFileSystemWatcher("**/*");
this.watcher.onDidCreate(() => this.handle_file_create());
This snippet demonstrates setting up a file system watcher to monitor file creation events.
The Gemini Coder extension appears to be a well-structured tool for enhancing AI-driven code completions in VSCode. While it interacts with the file system and external networks, these actions align with its intended functionality. However, users should ensure that network communications are secure and endpoints are trusted.
API calls detected through static analysis of the source code. For more accurate insights, explore our sandbox dynamic analysis.
Any encoded/decoded secrets we managed to find in the source code, git repository, or related files
Known vulnerabilities and security issues detected in the extension's dependencies and code.
Any identifiers we detected that may indicate external communication from the item's code
Dependencies and third-party libraries used by the extension, including version information and license details.