... Hardware checks. Compatibility scans. Model deployment. Copilot routing. Local hosting. Multi-cloud instances. Cloud failover. Used to take a day. Now under 10 minutes. AI moves fast. Deployment doesn't. 40% of teams take more than a week to get a single model into production. Data scientists spend over a quarter of their working day on setup, not science. That's not an AI problem. That's an infrastructure problem. oneinfer-edge fixes it. Not by reinventing the stack ... ... orchestrating what already exists into one open source control plane. - Multiple serving libraries. One scan. Ollama, llama.cpp, vLLM, SGLang, TensorRT-LLM, PyTorch, Dynamo. Instead of manually testing each one against your model and hardware

... Feature Update: You can now route your coding copilot or any agentic harness' traffic to self hosted models either in local or cloud in oneinfer-edge (fully open-sourced) Currently we have given support to OpenCode, KiloCode, OpenClaw, and Codex, most of you already have used at some point. No plugin. No config file. No IDE restart. You click ONEINFER, a local proxy intercepts your copilot's requests, translates the format, routes to your self hosted model, and returns ... ... expects an OpenAI messages format and your local model returns something else. Switch back to original models in one click, mid-session, no restart. For when you actually need it. This is just the start. Support for more agentic harnesses

... watchdog triggers a graceful shutdown when RSS crosses the threshold. It s useful as a safety net, but it was firing too eagerly during recoverable native-memory spikes. With the heap ceiling at 60% of the limit, V8 still hard-stops growth well below the watchdog, so the new threshold gives transient spikes more room to resolve before we preemptively cycle the pod. Confirming the fix against real kubelet The change was small, but justifying the rollout took more work ... ... risk cut the other way too: a too-tolerant liveness probe could mask a genuinely stuck pod and delay a restart that would actually help. We wrote a small reproduction harness

... unprompted. That self-verification behavior is the thing. Vercel is reporting it does proofs on systems code before starting work. Hex says it flags missing data instead of making up plausible-but-wrong fallbacks. Genspark measured loop rates on hard queries and 4.7 basically stopped looping. different teams, different harnesses

... Hello Product Hunt community! Today, we're incredibly excited to launch PartGenie.ai your dedicated AI agent engineered specifically for the intricate world of hardware design and electronics component sourcing. We built PartGenie.ai to address the core inefficiencies that plague hardware