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Woopy is incident response for developers who do not run a NOC. When your production app throws an exception, you get a push notification on your phone within seconds - and next to the alert there are buttons you define yourself: "Restart worker", "Clear cache", "Retry job". One tap fires an HMAC-signed webhook (Standard Webhooks spec) back at your infrastructure, and the incident is handled before you find a laptop.
Integration is one npm package (@woopysdk/node, ISC licensed) with a single call in your catch block, or a plain HTTP POST from any language. Signup to first push takes under 2 minutes. Every action run is logged with its HTTP status, so "did the restart actually go through?" always has an answer.
Woopy is deliberately NOT a full incident-management platform: no on-call schedules, no escalation policies, no phone calls. It is built for solo developers, freelancers maintaining client apps, and small agencies - and priced accordingly: per app, not per seat. Free for 2 apps; Pro $9/mo for 10 apps; Team $49/mo flat for 50 apps with unlimited responders.
GitHub WoopyWoopy's answer:
Woopy is built by a solo founder and a frontend co-founder, in public. The itch: when you maintain production apps for clients, you find out about crashes from the client, and fixing anything means finding a laptop. Existing incident tools assume a team and a NOC; error trackers tell you what broke but give you no way to act. Woopy closes that loop - a push within seconds of the exception, and a button next to it that actually fixes the problem.
Woopy's answer:
Woopy's answer:
Woopy pairs every crash alert with one-tap remediation actions. Alerting alone is a commodity - what makes Woopy different is what happens after the push: next to the alert there are buttons you define yourself ("Restart worker", "Clear cache", "Retry job"), and one tap fires an HMAC-signed webhook (Standard Webhooks spec) at your infrastructure. The incident is handled from your phone, before you find a laptop. Every action run is logged with its HTTP result, so "did the restart actually go through?" always has an answer.
Woopy's answer:
Most incident-management platforms (PagerDuty, Opsgenie, Zenduty) are built for teams running a NOC: on-call schedules, escalation policies, per-seat pricing. If you are a solo developer or a small agency maintaining client apps, you pay for machinery you never use. Woopy deliberately skips all of that and adds the one thing they lack: remediation actions next to the alert. Pricing is per app, not per seat - free for 2 apps, Pro $9/mo for 10 apps, Team $49/mo flat for 50 apps with unlimited responders. Integration is one npm package or a plain HTTP POST; signup to first push takes under 2 minutes.
Woopy's answer:
Solo developers, freelancers maintaining client apps, and small agencies - people who are personally responsible for production but do not run a NOC and cannot justify per-seat incident-management pricing. If your "on-call rotation" is just you and your phone, Woopy is built for you.
Woopy's answer:
Backend: Ruby on Rails (API mode) with PostgreSQL, Sidekiq and Redis. Web dashboard: React with Vite. Mobile apps (iOS and Android): Capacitor, with push delivery via APNs and FCM. SDK: Node.js (@woopysdk/node, ISC licensed), plus a plain REST API for any language. Outbound remediation actions follow the Standard Webhooks spec with HMAC signatures.
Based on our record, GitHub seems to be more popular. It has been mentiond 2473 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 3 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 3 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 4 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 13 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 15 days ago
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