Quest AI
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Generate React components with clean, extendable code. Build and iterate on your products faster than ever.
Quest AI GitHubBased on our record, GitHub seems to be a lot more popular than Quest AI. While we know about 2473 links to GitHub, we've tracked only 9 mentions of Quest AI. 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.
If you build with Next.JS, check out https://quest.ai. It converts figma designs into Next.JS automatically. Disclosure: I'm one of the makers of quest.ai. Source: about 3 years ago
Can I make a recommendation to add https://quest.ai to the list. Generates React/NestJS components from your designs. Source: over 3 years ago
Since you are a full stack developer, check out https://quest.ai. Generates React code components from Figma files. For websites, you can export as NextJS and host in vercel or anywhere. You have full control over the code, which developers typically want. Source: over 3 years ago
Take a look at how customers are using Quest:. Source: over 3 years ago
If you are building in React, try https://quest.ai. Gives you pixel-match code for your Figma design. Perfect for many backend devs. Source: 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 / 6 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 / 7 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 / 7 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 / 17 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 / 18 days ago
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