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Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.
AI design-to-code tool that converts Figma designs or cloned websites into HTML/React and builds apps with vibe coding.
Continuously analyzes MySQL, MariaDB, and PostgreSQL workloads to recommend and safely apply configuration and query fixes.
Vibe-coding builder creating full-stack apps by chatting with AI.
Visual state-machine editor (built on XState) that lets teams design app logic as diagrams and export runnable JS/TS code.
Free trial available
Free trial available
Free trial available
- ✦150+ recommendations across 50+ AWS services
- ✦Zombie and unused resource cleanup
- ✦Over-provisioned rightsizing
- ✦Idle-resource scheduler
- ✦SpotBot for ECS Fargate spot/on-demand switching
- ✦AWS console extension with Slack/Teams alerts
- ✦Figma-to-code (HTML/React)
- ✦Clone any or private website to code
- ✦AI website and app builder
- ✦Figma agent (Buddy) and design agent
- ✦Anima MCP server and API
- ✦Adobe XD support
- ✦Workload-based configuration tuning
- ✦SQL query analytics and optimization suggestions
- ✦Schema optimization (duplicate/unused index detection)
- ✦24/7 automated health and security monitoring
- ✦One-command agent installation
- ✦Human approval required before applying changes
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Drag-and-drop visual state machine editor
- ✦Bidirectional code/diagram sync via XState
- ✦AI generation and modification of state machines
- ✦Auto-generated React app prototypes and tests
- ✦GitHub sync and Figma embedding
- ✦Live simulation and Stately Inspector for debugging
- ✦Version history and shareable diagrams
- →Cutting AWS spend automatically
- →Rightsizing over-provisioned resources
- →Scheduling idle resources off-hours
- →Giving DevOps in-console cost recommendations
- →Converting Figma designs to code
- →Cloning sites as starting points
- →Building web apps with AI
- →Automating design-to-code in dev workflows
- →Database teams reducing manual tuning workload
- →Hosting providers optimizing customer databases at scale
- →Engineering teams without a dedicated DBA fixing performance issues
- →AWS RDS users tuning managed database instances
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- →Frontend teams modeling complex UI flows
- →Backend teams documenting workflow logic
- →Teams wanting living, always-current documentation
- →Non-technical stakeholders reviewing app logic visually