We ve launched Kachilu Beta a secure, no-setup cloud platform for teams and individuals who want to run and scale multiple Codex environments.
If you ve ever managed SKILLs and scheduled jobs on a local PC, you know how quickly it gets complicated especially when you want to reuse them across multiple machines. Kachilu makes that simple, without the hassle of server setup or maintenance.
We ve rolled out the Codex platform internally as an alpha, and we re excited to see teammates use Codex seamlessly and share skills across the company.
Codex models + Codex Harness have been the most consistent option for long-running tasks in my workflow. That consistency is why many top engineers I follow keep backing Codex.
I ve tested Claude and Gemini for long-running workflows too, but I still see reliability gaps when tasks run for a long time. I ve felt this way since the 4.0 generation, and it hasn t really improved for my use cases.
If/when AI becomes the default operator for long-running tasks across industries, I believe Codex will stand out as the most dependable choice.
OpenClaw is trending, but in practice it s only usable by a limited group of people mainly because the initial environment setup is painful, and the configuration afterwards is even harder.
On top of that, I suspect many of OpenClaw s workflows will eventually be replaced by OpenAI s Codex.
But adopting Codex isn t easy either especially for Windows users. And most real work happens in teams. That s why I m convinced the truly exciting future is this:
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