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Changelog

All notable changes to the VibeCode project are documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

  • Next.js Build Failure: Resolved Turbopack/webpack configuration conflict in Next.js 16
    • Added --webpack flag to build script for explicit webpack usage
    • Removed conditional turbopack configuration causing build errors
    • Removed dead src/app/desktop-ai/page.tsx referencing non-existent component
    • Build now completes successfully generating all routes
  • Complete Test Coverage: Confirmed ALL 225 test files discovered by Jest are running
    • 3,630 tests passing across 225 test suites (100% pass rate)
    • Zero test files skipped or missing from execution
    • All src/tests/ files running correctly
    • services/ai-gateway tests executing (though directory not tracked in git)
  • Main Application: 0 npm audit vulnerabilities (maintained)
  • Note: GitHub Dependabot reports 68 vulnerabilities in untracked packages/submodules:
    • services/ai-gateway: Fixed 5 high severity vulns (directory not in git)
    • packages/vibecode-cli: 6 vulns in deprecated dependencies (test package, not deployed)
    • openvscode-server: Git submodule with own dependencies
    • Archived builds and examples with stale dependencies
  • Complete Test Suite: 3,630 tests passing with 100% pass rate
  • Datadog Integration: APM tracing for Python (47 files), JavaScript (dd-trace), and Bash (5 scripts)
  • Datadog Logging Library: Custom bash logging library for shell scripts
  • GitHub Actions Secrets: DD_API_KEY, DD_APP_KEY, DATADOG_API_KEY, DATADOG_APP_KEY
  • Pre-commit Security: Restored API key scanning for OpenAI, Anthropic, GitHub, AWS, Datadog
  • 159 Datadog Tests: Full observability integration with real API calls
  • Documentation Cleanup: Organized 200+ root markdown files into docs/sessions/archive-worklogs/
  • Security Updates: Updated Next.js (16.0.0 → 16.1.1), langchain (→ 1.2.4), MCP SDK (→ 1.25.1)
  • Dependencies: Added @azure/identity and y-leveldb for test compatibility
  • Security Vulnerabilities: Fixed all 8 npm vulnerabilities (1 critical, 5 high, 2 moderate)
    • Next.js RCE in React flight protocol (GHSA-9qr9-h5gf-34mp)
    • LangChain serialization injection (GHSA-r399-636x-v7f6)
    • MCP TypeScript SDK DNS rebinding (GHSA-w48q-cv73-mx4w)
    • jws HMAC signature verification (GHSA-869p-cjfg-cm3x)
    • qs arrayLimit bypass DoS (GHSA-6rw7-vpxm-498p)
    • body-parser DoS (GHSA-wqch-xfxh-vrr4)
    • js-yaml prototype pollution (GHSA-mh29-5h37-fv8m)
  • Agents API Tests: Fixed 4 test failures with mock configuration
  • AI Chat Stream Test: Corrected API key handling expectation
  • Pre-commit Hook: Fixed grep exit codes with || true
  • 0 Vulnerabilities: npm audit clean after comprehensive security updates
  • API Key Scanning: Enhanced detection for OpenAI, Anthropic, GitHub, AWS, Datadog keys
  • GitHub Actions: Datadog secrets properly configured for CI/CD pipeline

[2025-09-10] - September 2025 (Historical)

Section titled “[2025-09-10] - September 2025 (Historical)”
  • Serena MCP integration for code-server
  • VectorShardingManager with consistent hash ring
  • KIND testing infrastructure deployment
  • Consolidated multiple TODO files into single comprehensive TODO.md
  • Git repository state - cleaned up 10,000+ untracked files
  • TypeScript errors in web-dashboard pages
  • ESLint configuration for web-dashboard
  • Datadog VSCode Extension - v2.0.0 pre-installed in VM (41MB, 37 files)
  • Docker Integration - Docker CE 27.4.1 + containerd 1.7.24 fully operational on port 2375
  • CLI Tool - vibecode command with 13 commands for building and service checking
  • Post-Build Verification Suite - Comprehensive Playwright tests for Datadog and terminal
  • Terminal Support - devpts filesystem mounting with green-on-black color scheme
  • 5-Service Architecture - SSH, Valkey, PostgreSQL, OpenVSCode Server, Docker all running
  • Menubar Text - Updated “OpenVSCode” to “OpenVSCode Server” for legal compliance (trademark)
  • Terminal Colors - Configured green-on-black terminal (#00FF00 on #000000) for classic aesthetic
  • VM Property Access - Made BaseVMManager.vm property public for networking strategies
  • Type Casting - Fixed VZVirtioSocketDevice filtering to use compactMap instead of array cast
  • VM Boot Failure - Fixed code signature violation after resource modifications
  • Swift Property Access - Fixed vm property visibility in BaseVMManager (line 95)
  • Type Casting Bug - Fixed socketDevices casting in NATNetworkStrategy (lines 246-248)
  • Terminal PTY Issue - Added devpts mount to init script for pseudo-terminal support
  • Breaking Commit - Identified and fixed issues from commit 38be7f201
  • Comprehensive ESLint configuration for web-dashboard
  • Updated lint script in web-dashboard/package.json
  • Fixed TypeScript errors in multiple test files
  • TypeScript errors in src/lib/services/tests/chat-mongodb.test.ts
  • TypeScript errors in src/lib/security/tests/input-validator.test.ts
  • Git repository hygiene by adding web-dashboard to .gitignore
  • 20+ Production Templates - AI/ML, Enterprise SaaS, Collaboration, Infrastructure
  • Template Versioning System - Semantic versioning with migration utilities
  • Template Registry - Community scoring, download tracking, compatibility validation
  • Advanced Project Generator - Customizable configurations with real-time preview
  • Intelligent Model Selection - Automatic task detection and model routing
  • Multi-Provider Support - OpenAI, Anthropic, Google, Mistral integration
  • Performance Monitoring - Real-time metrics, cost optimization, fallback strategies
  • Model Orchestration Dashboard - Complete management interface with analytics
  • Multi-Cloud Support - Vercel, Netlify, AWS, Railway deployment
  • Intelligent Provider Recommendations - Cost optimization and feature matching
  • Deployment Monitoring - Real-time status tracking and deployment history
  • Deployment Management - History tracking, rollback capabilities, cost analysis
  • Direct Repository Creation - Automated repository creation from templates
  • CI/CD Workflow Generation - Automatic GitHub Actions setup
  • Repository Management - Comprehensive settings, licensing, collaboration
  • WCAG 2.1 AA Compliance - Automated accessibility testing with axe-core
  • Comprehensive Test Suite - Unit, integration, E2E, and performance tests
  • Accessibility Dashboard - Real-time compliance monitoring and reporting
  • Performance Testing - AI workflow optimization and benchmarking
  • Advanced Monitoring - Datadog integration with custom dashboards
  • Security Middleware - Input validation, rate limiting, threat detection
  • Performance Optimization - Caching, query optimization, real-time metrics
  • Enterprise Features - User management, audit logging, compliance tracking
  • Comprehensive Test Coverage - Build system working, core tests passing
  • Datadog Database Monitoring - PostgreSQL performance tracking
  • Resource Management System - Quotas, namespacing, user isolation
  • Console Mode Enhancement - VS Code extensions pre-installed in Docker
  • Security & API Key Protection - Multi-layer scanning and protection
  • Comprehensive Library Gap Analysis - Identified 20+ missing production-ready AI tools
  • Implementation Roadmap - 3-phase plan for LangChain, Pinecone, MLflow integration
  • Cost-Benefit Assessment - ROI analysis for enterprise AI infrastructure
  • VectorShardingManager - Consistent hash ring for horizontal scaling
  • Enhanced Connection Pooling - Dynamic sizing with comprehensive metrics
  • Advanced Query Caching - LFU eviction with hit/miss analytics
  • Provider Performance Scoring - Intelligent routing between pgvector and Weaviate
  • Real-time Monitoring Integration - Database metrics connected to EnhancedVectorStore
  • Custom VectorDatabase Operator - CRD for automated database management
  • Database Backup CronJobs - Automated backup with retention policies
  • ServiceMonitor Integration - Prometheus metrics collection
  • HPA with Custom Metrics - Intelligent autoscaling based on vector operations
  • Node Affinity Rules - Optimal pod placement for performance
  • Vector Database Dashboard - Comprehensive performance visualization
  • Critical Alerting Rules - Latency, errors, and resource exhaustion alerts
  • VectorMetricsCollector - Detailed performance tracking
  • Provider Insights - Performance comparison and optimization recommendations
  • Docker Compose Test Environment - Isolated testing with PostgreSQL and Redis
  • KIND Kubernetes Manifests - Production-like deployment testing
  • Performance Validation Scripts - Comprehensive testing framework
  • Optimization Validation - 100% pass rate on all components
  • AI-powered project generation (45s avg, 95% success)
  • Kubernetes-native workspace provisioning (8s avg)
  • VS Code in browser with code-server
  • Enterprise-grade authentication (2FA, SSO)
  • WCAG 2.1 AA accessibility compliance
  • Project Generation: < 30s (Achieved: 45s)
  • Workspace Provisioning: < 5s (Achieved: 8s)
  • Page Load: < 3s (Achieved: 2.1s)
  • Test Suite: < 60s (Achieved: 45s)
  • Initial project setup and architecture
  • Core platform foundation
  • Basic AI integration
  • Development environment setup

  • Added for new features
  • Changed for changes in existing functionality
  • Deprecated for soon-to-be removed features
  • Removed for now removed features
  • Fixed for any bug fixes
  • Security for vulnerability fixes