
GitHub
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GitHub
ExercismBased on our record, GitHub should be more popular than Exercism. It has been mentiond 2474 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.
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 4 days 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 / 12 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 / 12 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 / 13 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 / 22 days ago
Exercism.org structured deliberate practice, no AI required. - Source: dev.to / 4 months ago
Providing free coding exercises and mentorship, Exercism helps developers practice and improve their programming skills step by step. Their Python Track offers a series of exercises that guide learners from beginner to more advanced levels. - Source: dev.to / 7 months ago
Exercism is a code practice + mentoring platform in 74 languages. Why it can work: although it is not exclusively focused on groups of five, its mentoring and peer review model allows forming mini-circles where participants give each other mutual feedback. Limitation: it is not originally intended as a "venting circle" (My favorite), but more technical-practical. - Source: dev.to / 9 months ago
Keep practicing, keep coding, and most importantlyโhave fun with it! If you enjoyed this exercise, explore more challenges on exercism to continue building your Go skills. As always, you can find the complete code in my GitHub repo: https://github.com/RubenOAlvarado/algorithms. - Source: dev.to / 10 months ago
(concepts/topics) : The New Turing Omnibus, 66 Excursions in Computer Science[1] Code Complete [2] Debugging The 9 Indispensable Rules of Finding Even the Most Elusive Software and Hardware Problems [3] Code: The Hidden Language of Computer Hardware and Software [4] -- backround stories on how 'computer' things came to be -------- [1] : https://www.amazon.com/New-Turing-Omnibus-Sixty-Six-Excursions/dp/0805071660... - Source: Hacker News / over 1 year ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
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