
SecurityBot.dev
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SecurityBot.dev
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SecurityBot.dev's answer
SecurityBot.dev is built using the Laravel Framework, and is backed by a managed MySQL database. The application and infrastructure is deployed through Laravel Forge and is hosted on Digital Ocean.
SecurityBot.dev's answer
SecurityBot is used by a mix of established tech companies and indie entrepreneurs.
SecurityBot.dev's answer
SecurityBot.dev founder Jason Gilmore is a prolific creator of online products, including 6DollarCRM, SpiesInDC, TurboShrink, and has long maintained a personal website at WJGilmore.com. He originally built SecurityBot.dev to monitor his own products, and it worked so well that he subsequently released it for wider use.
Based on our record, GitHub seems to be a lot more popular than SecurityBot.dev. While we know about 2473 links to GitHub, we've tracked only 7 mentions of SecurityBot.dev. 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.
I continue working on SecurityBot.dev, having lately made significant improvements to the broken link monitor. https://securitybot.dev. - Source: Hacker News / 19 days ago
Another M&A tool. Useful for software company sellers who are required to disclose details related to software IP ownership such as what third-party dependencies are used in their software. https://securitybot.dev. - Source: Hacker News / about 2 months ago
This week I launched IterOps https://iterops.com, a heat mapping, rage click, dead click, scroll mapping, and simple A/B testing tool. I originally built it to have a better idea of what people are doing on my other micro-saas projects like https://securitybot.dev and https://contributoriq.com. Already finding it so useful that I figured I'd just turn it into a product too. - Source: Hacker News / 5 months ago
Iโve built and launched numerous SaaS products (which have paying customers) which were almost entirely built usibg AI agents including https://securitybot.dev and https://dependencydesk.com. My experience so far has been if you possess both deep domain-specific experience and significant coding experience then these coding LLMs, and most notably Opus 4.5, are the greatest productivity booster in the world. - Source: Hacker News / 7 months ago
Https://securitybot.dev/ SecurityBot.dev is an all-in-one uptime, performance, security, and SEO monitoring tool. I launched it a few months ago and have been iterating on it ever since. Later this week SecurityBot.dev will log its 1 millionth uptime check which is pretty cool to see. It includes the usual uptime monitoring service that you see everywhere else, but also features such as a PageSpeed Insights... - Source: Hacker News / 8 months ago
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 / 2 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 / 3 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 / 14 days ago
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