musicForProgramming.net
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Based on our record, GitHub seems to be a lot more popular than musicForProgramming.net. While we know about 2473 links to GitHub, we've tracked only 22 mentions of musicForProgramming.net. 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.
This site that has been previously posted on HN works well: https://musicforprogramming.net/ Otherwise agree with psytrance / goa mixes. Techno can be good too if you are tired (eg: Sara Landry, 999999999). Trance can help to uplift if you are depressed. Classical to make you feel more ordered.. I love dubstep in my brain but it creates patterns that are counter-intuitive to doing any work โ that genre makes me... - Source: Hacker News / about 1 year ago
Amazing. Iโve seen similar effects used in production on https://musicforprogramming.net/ which looks like the RandomSequence effect. - Source: Hacker News / about 2 years ago
I enjoy listening to mixes from musicforprogramming.net while coding. Source: about 3 years ago
Usually, no, but have sometimes used the SpaceChem soundtrack and https://musicforprogramming.net. Source: about 3 years ago
I did, too :) For those that don't know: Datasette is the author/curator of https://musicforprogramming.net. - Source: Hacker News / over 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 / 5 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 / 6 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 / 6 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 / 16 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 / 17 days ago
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