AI code generation is abundant and cheap — the real bottleneck is validation. Xedant Code is built around deep, multi-layered validation of agentic output, with every control in the interface designed to help you inspect, verify, and correct what the model produces — faster and more thoroughly than any raw CLI. Combined with model self-learning with CLAUDE.md and skills, you could get from models struggling to do even simplest tasks to perfectly working for hours in just dozens of self-correcting cycles.
These validation mechanisms work together as a layered system. Use them individually or combine them for comprehensive automated validation pipelines:
Automated Build Validation
Compilers, linters, type checkers, and test runners as automated quality gates. AutoFix creates a self-correcting loop between builds and the AI model.
Automated Prompt Builds
Run validating subagent chats when main chat finishes, then parsed output feeds back without polluting main chat context, only on errors and warnings.
Chat Output Validation
Per-message and chat stats provide real-time oversight of model performance.
Git Change Validation
Git changes are displayed in a panel to the right of the chat. Quick commit and rollback actions let you validate instantly. Full traceability from commits to conversations.
Deploy Output Monitoring
Deployed runtime output parsed in real-time for errors and warnings.
File Viewer & Script Runner
Built-in file viewer for manual code inspection and quick edits, syntax-highlighted and fast. More than enough in vibe coding mode.
Model & Skills Control
Switch between AI environments mid-chat, customize skills with validation guidance, and fine-tune agentic workflows.
Docker Isolation & Skip Permissions
Full Docker isolation enables safe skip-permissions mode. Validate final output instead of babysitting each action.
Model Control with Hooks
Pre-process or post-process tool calls via hooks. Prevent manual builds, deny destructive operations, and enforce rules including English-only model reasoning and responses.
Analytics & Observability
Detailed analytics on tokens, costs, speed, chats, commits and performance. Optional automated pushing of chat stats into your ClickHouse for centralized observability, performance and cost control for all your projects at once.
Sound Feedback Validation
Monitor builds, deploys, commits and chat by ear. Distinct sounds for each event let you develop an intuitive sense of workflow without watching the screen. Easily replace standard sounds with ones you enjoy, use per-build and per-deploy sounds for the most important validation points.