vikonava 
OpenAI used its OpenDev stage on October 6, 2025 to push ChatGPT from a capable assistant into a platform you can build on. The headliners were apps that run directly inside ChatGPT via a new Apps SDK, AgentKit for building and shipping agentic workflows, general availability of Codex with a fresh SDK and Slack integration, and a strategic AMD partnership aimed at scaling compute to six gigawatts. This post breaks down what shipped, why it matters, and how developers can start building today.
OpenDev Recap: Everything OpenAI Announced
OpenAI used its OpenDev stage on October 6, 2025 to push ChatGPT from...
One Dashboard To Rule Your Servers: Grafana + Prometheus for Proxmox, KVM, VPS and Dedicated Boxes
If you have a mix of Proxmox nodes and external servers, getting a...
LiteLLM at Home: One Endpoint, Real Budgets, Zero Surprises
I’ve been tinkering with LiteLLM at home, and pairing it with my OpenWebUI...
Open WebUI: A Pay As You Go, multi-model, family-friendly alternative to ChatGPT Plus
Open WebUI is an extensible, self-hosted interface for large language models that feels...
Mastering AI Prompt Writing
Writing effective prompts for AI is less about magical keywords and more about...
One Dashboard To Rule Your Servers: Grafana + Prometheus for Proxmox, KVM, VPS and Dedicated Boxes
If you have a mix of Proxmox nodes and external servers, getting a clean, truthful view of CPU, memory and disk is strangely hard. Proxmox’s built-in charts blur the line between free, cached and used memory, which makes planning resources awkward. I also needed email alerts for low disk space and high CPU or memory after learning the hard way that a full disk can freeze VMs and turn recovery into a risky dance. Finally, I wanted all nodes in one place, not just Proxmox, but remote KVMs, VPSs and dedicated servers from various providers.
LiteLLM at Home: One Endpoint, Real Budgets, Zero Surprises
I’ve been tinkering with LiteLLM at home, and pairing it with my OpenWebUI setup has unlocked something surprisingly practical: real budgets I can enforce automatically so there are no surprise bills. LiteLLM gives me one endpoint for many providers, per-key rate limits that fit each person in my household, and a clean way to bring local models into the same flow. In this post I break down how it works, why it matters for home-brew projects or small teams, and how to deploy it with Docker, end to end. I’ll also show simple recipes for monthly caps, per-key tokens-per-minute or requests-per-minute, and routing that prefers cheap or local models first.
Open WebUI: A Pay As You Go, multi-model, family-friendly alternative to ChatGPT Plus
Open WebUI is an extensible, self-hosted interface for large language models that feels familiar if you have used ChatGPT, yet it gives you control over models, costs, and access. I have been thinking about Open WebUI as a self hosted alternative on a Pay As You Go model versus paying …
Mastering AI Prompt Writing
Writing effective prompts for AI is less about magical keywords and more about clear communication. Whether you’re creating documentation, training a colleague, or automating tasks, the way you frame your request to an AI determines the quality of the result. In this extended guide, we’ll go step-by-step through prompt structures, metaphors that make the concept click, workplace training scenarios, and a library of examples you can use immediately.