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StartFast GitHubStartFast's answer
StartFast is fully curated by hand, not auto-generated. Instead of flooding users with thousands of low-quality or repetitive tools, it delivers a signal-only directory of the best AI, dev, and startup products. Itโs fast, simple, and designed for builders who want quality over quantity. No noise, no spam, no bloat, just tools worth knowing.
StartFast's answer
Because most tool directories recycle the same 20โ30 products or list everything without curation. StartFast focuses on discoverability and speed.
People choose StartFast because:
You donโt waste time digging through noise, you find the right tools quickly.
StartFast's answer
StartFast is built for people who build things:
Anyone who needs to discover high-quality tools fast is the core audience.
StartFast's answer
StartFast began as a personal list. The AI and dev tool ecosystem was moving too fast, every day new tools launched, disappeared, or got buried under hype. Keeping track became impossible.
So StartFast was built to solve that problem:
StartFast's answer
StartFast is still early, but already getting traction receiving many visits, and it's already being used by:
GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.
Based on our record, GitHub seems to be more popular. It has been mentiond 2476 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.
"""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 / 6 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 / 7 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 / 12 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 / 19 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 / 20 days ago
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