nxs
AI-powered DevOps debugger — pipe any error, get root cause
What it does
nxs is an open-source CLI that debugs Kubernetes, Docker, and CI/CD errors from your terminal. Pipe any log → get root cause + exact fix commands. What it does: • Debug crashing pods instantly • Catch OOMKills before they happen • Auto-fix issues with autopilot • Find what broke production • Full incident management from CLI • Kill Alertmanager alert fatigue Free to use. Works with Groq or no key. npm install -g @nextsight/nxs-cli
Does the same job
all alternatives →- PLPiping logs, visualizing in a web app – just suffix "| npx logscreen"2024 · github.com · ▲128
- LOLogClaw – Open-source AI SRE that auto-creates tickets from logsMar 2026 · logclaw.ai · ▲19
Hi HN, I'm Robel. I built LogClaw because I was tired of paying for Datadog and still waking up to pages that said "something is wrong" with no context. LogClaw is an open-source log intelligence platform that runs on Kubernetes. It ingests logs via OpenTelemetry and detects anomalies using signal-based composite scoring — not simple threshold alerting. The system extracts 8 failure-type signals (OOM, crashes, resource exhaustion, dependency failures, DB deadlocks, timeouts, connection errors, auth failures), combines them with statistical z-score analysis, blast radius, error velocity, and…
- OSOpen-source tools to troubleshoot Kubernetes applications2020 · troubleshoot.sh · ▲10
- AUA universal Helm Chart for deploying applications into K8s/OpenShift2024 · github.com · ▲42
Hey HN! We wanted to share with you nxs-universal-chart - our open-sourced universal Helm chart. You can use it to deploy any of your applications into Kubernetes/OpenShift and other orchestrators compatible with native Kubernetes API. Our team regularly faced the need to create almost identical charts, so when we had 14 identical microservices in one project, we came up with a chart format that essentially became a prototype of nxs-universal-chart. It turned out to be more relevant than we even thought! When we needed to prepare CI/CD for 60 almost identical projects for a…
- PSPipeStep – Step-through debugger for GitHub Actions workflowsMar 2026 · github.com · ▲12
Hey HN — I kept seeing developers describe the same frustration: the commit-push-wait-read-logs cycle when debugging CI pipelines. So I built PipeStep. PipeStep parses your GitHub Actions YAML, spins up the right Docker container, and gives you a step-through debugger for your run: shell commands. You can: 1. Pause before each step and inspect the container state. 2. Shell into the running container mid-pipeline (press I). 3. Set breakpoints on specific steps (press B). 4. Retry failed steps or skip past others. It deliberately does not try to replicate the full GitHub Actions runtime — no…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
- IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com
- BC
Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app