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https://youtu.be/qM6cImNSHN8

Kachilu (Alpha) is officially here!

We are optimizing first-week onboarding for Kachilu and want direct feedback.

If your team tried a new AI workspace tomorrow, what would matter most in day 1?

- fastest path from zero to first production-safe workflow

For teams handling sensitive workflows, what is your minimum security baseline before adopting an AI workspace?

We are building Kachilu for security-first team AI operations (launching March 2026). Design goals:

- per-workspace isolated virtual network boundary

https://youtu.be/ryaoY1hg-8E

We re collecting sharp pre-launch feedback before March 2026.

If you can share one point, pick one:

1) the first workflow your team would try

We re preparing Kachilu for our March 2026 launch, and we want to stay focused on what actually helps teams ship.

Current priorities:

- no-setup onboarding

A lot of AI tools still assume single-player usage.

For Kachilu, we re focused on team operation from day one:

- secure, isolated workspace boundaries

We kept seeing the same issue across workflow tools: once business logic changes, static automations break and become costly to maintain.

With Kachilu, we are testing a different model:

- describe the goal in natural language

I m currently building Kachilu, an AI-driven infrastructure platform powered by Codex.

One of the biggest challenges we faced was ensuring that AI-generated Terraform/HCL code is actually production-ready and secure, not just "syntactically correct." We ve spent months fine-tuning how Codex understands cloud dependencies.

I m curious: For those using AI to help with DevOps, what s the one thing you still don't trust the AI to do?

We re launching Kachilu on Product Hunt soon! If you re interested in the future of AI-managed infra, I d love to have you follow along for updates.