Get secure, working code in 1 shot
Put cursor in auto feedback loop so that it tries to generate secure, fully working code in one shot. Completely open source.
VibeShift creates a feedback loop where AI-generated code is automatically scanned, vulnerabilities are reported with evidence and suggestions, and the AI assistant can propose or apply fixes, enabling rapid security-aware development cycles.
VibeShift executes recorded JSON test files using Playwright, performs visual regression testing with pixelmatch and vision LLM approaches, and returns detailed execution results with failures and evidence paths for debugging.
VibeShift crawls websites using BrowserController and LLM analysis to suggest test steps for discovered pages, helping teams identify untested flows and potential security gaps in their applications.
VibeShift records Playwright-based test scripts from natural language descriptions, executes them deterministically, captures screenshots and console logs, and enables self-healing tests that adapt to code changes automatically.
VibeShift integrates with AI coding assistants (Cursor, GitHub Copilot, Claude Code) via MCP to perform automated SAST analysis, identify vulnerabilities like XSS and SQL injection, and provide detailed remediation feedback directly to the AI assistant for immediate fixes.