We are building a production agent to turn your code into cloud infra
Waitlist-only IaC agent competing with Terraform and Pulumi.
Cost effective performant infra plans
Hackathon-stage; needs real validation that repo analysis beats manual estimation.
ML engineers, startup founders, DevOps teams managing cloud costs
AWS Compute Optimizer · CloudZero · Infracost
I wanted to know if this would be actually helpful in real scenarios and what more can be added so it addresses some more pain points. Let me know, thanks!
Waitlist-only IaC agent competing with Terraform and Pulumi.
Smart local‑first routing that only escalates to expensive cloud planners when necessary is the standout idea — combined with per‑run cost accounting and full Ollama offline support it solves a real operational itch. The repo is a pragmatic, CLI/TUI-focused toolkit (scraping + cache, MCP server mode) that feels useful for teams wanting a no‑friction orchestrator, but it’s playing in a crowded space of agent frameworks so the novelty is incremental rather than revolutionary.
AI agents with approval gates for infra changes, but execution-oriented AI is still unproven in production.
Another AI-powered deploy tool competing with Vercel, Railway, and Render.
Offline cost estimation for Terraform that beats Infracost on speed and privacy.
Yet another cloud cost optimizer competing with Vantage, CloudHealth, and Azure Cost Management.