Superhuman VS GitHub
Compare Superhuman VS GitHub and see what are their differences
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Superhuman GitHubBased on our record, GitHub seems to be a lot more popular than Superhuman. While we know about 2473 links to GitHub, we've tracked only 26 mentions of Superhuman. 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.
A Superhuman-style email interface with a clean inbox and focused email preview. - Source: dev.to / 3 months ago
Remember I said that some apps address these issues much better than others? Recent famous examples are Linear and Figma. Both have disrupted incredibly competitive markets by being technologically superior. Other examples are Superhuman and a decade prior, Trello. When you look into what they did, you discover that they all converged on very similar patterns, and they all developed their respective... - Source: dev.to / about 2 years ago
Then there is the mother of all. Superhuman, advocating for productivity in emails:. - Source: dev.to / about 2 years ago
Email is one of those unavoidable things that can eat up a ton of our time -- while causing a great deal of anxiety to boot. Superhuman is an AI-powered email app designed for busy professionals seeking a blazingly fast email experience. With dozens of features like automatically prioritizing emails based on the recipient, follow-up reminders, automated phrases and email copy, along with event scheduling,... - Source: dev.to / almost 3 years ago
Other tools I use: Superhuman for Email, Akiflow for tasks and calendar, Roam for notes/PKB, and one sec to reduce opening distracting apps. Source: about 3 years 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 / 7 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 / 8 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 / 8 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 / 18 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 / 19 days ago
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