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Commandline Challenge
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Based on our record, GitHub seems to be a lot more popular than Commandline Challenge. While we know about 2476 links to GitHub, we've tracked only 9 mentions of Commandline Challenge. 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.
To get crazy fast in the command line, try Command Line Challenge, practicelinux.com, learnshell.org and commandlinefu.com. Source: almost 3 years ago
I put something together very similar to this, https://cmdchallenge.com that I like a bit better because it has console input. There is also a Christmas edition "12 days of shell" https://12days.cmdchallenge.com that is more like a learning progression. - Source: Hacker News / almost 3 years ago
Nice to see this posted on HN! A while back ago I used them for the design of a site a built https://cmdchallenge.com/ which gives it a nice feel of achievement badges without using standard unicode characters that may look different depending on the client. - Source: Hacker News / almost 3 years ago
Cmd challenge is a website that gives you a linux terminal, and asks you to perform different tasks on it, so you sharpen your linux terminal skills. - Source: dev.to / over 3 years ago
Aye that's a good one. CmdChallenge is also quite nice. Source: almost 4 years ago
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 4 days ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 5 days ago
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 / 10 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 / 17 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 / 17 days ago
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