Paxper — AI for Software Development

Managing cloud infrastructure often forces you to choose between dense configuration code or unreliable manual console clicks. Paxper bridges this gap by making your architecture diagram the actual source of truth. When you add or modify resources on the visual canvas, the platform generates standard OpenTofu configurations behind the scenes. This approach removes the guesswork from infrastructure updates by showing you an exact change preview and estimated cost before anything touches your live environment. For teams tired of deciphering hundreds of lines of terminal output during code reviews, Paxper turns infrastructure changes into concise, human-readable summaries that require explicit approval. Furthermore, the inclusion of an MCP server means you can connect your existing AI assistant—such as Claude or Codex—to query workspace state, look up valid regional values, and make canvas edits using plain language without leaving your assistant interface. While the platform currently focuses specifically on AWS and relies on your cloud credentials, it offers a pragmatic environment for engineering teams seeking visual clarity combined with code-level portability.