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In today's business landscape, it's more important than ever for companies to scale rapidly and efficiently. However, this can be difficult when teams are siloed, and goals are disconnected. This leads to bloated technology footprints and unnecessary spending.
Savee is a VendorOS that helps businesses overcome these issues. It identifies vendor overlaps and potential compliance issues while uncovering cost savings and managing the approval and renewal processes. This helps savvy business leaders scale rapidly and efficiently.
To get started with Savee, simply visit the website and create an account. From there, you can browse the list of vendors and see how they can help your business save money.
Benefits of using Savee include: - Reduced spending on unnecessary technology products - Faster identification of vendor overlap and cost savings - Easier management of technology Vendor Relationships - Easier renewal management - Better visibility into company-wide spending on technology products
Savee
GitHubBased on our record, GitHub seems to be a lot more popular than Savee. While we know about 2473 links to GitHub, we've tracked only 2 mentions of Savee. 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.
Tell me what you think, also poke at it.. I have a bug list I'm addressing but could use more insights. https://besavee.com. Source: almost 4 years ago
Tell me what you think. https://besavee.com. Source: almost 4 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 / 8 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 / 9 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 / 9 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 / 19 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 / 20 days ago
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