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CodecityApp turns coding practice into a daily quest loop: 1,334 challenges across 15 languages, XP, streaks, AI mentor ARIA, 1v1 Arena battles, and a city that grows as your skills grow.
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CodecityApp's answer:
CodecityApp's answer:
Codecademy teaches. LeetCode tests. CodecityApp builds habit. The city-building mechanic creates intrinsic motivation โ your skyline grows as your skills grow. Free forever with no meaningful limits, plus an AI mentor included. Competitors charge $20-40/month for less engagement.
CodecityApp's answer:
Self-taught developers and CS students who struggle to stay consistent with coding practice. Also bootcamp students who need structured challenge-based learning, and universities looking for supplementary practice tools for their CS programs.
CodecityApp's answer:
Built by Michael Clarke, a 50-year-old solo founder and ex-enterprise architect who got tired of boring coding practice. Every existing platform felt like homework. He built CodecityApp to make daily practice feel like progress โ city-building as the metaphor for skill-building. Week 9 of launch, pre-revenue, building in public.
CodecityApp's answer:
React, TypeScript, Vite, Tailwind CSS, Supabase (backend + auth), Anthropic API (Claude powers ARIA), Judge0 (code execution), Lovable (frontend development), EAS Build (mobile).
Based on our record, GitHub seems to be a lot more popular than CodecityApp. While we know about 2473 links to GitHub, we've tracked only 1 mention of CodecityApp. 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.
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 / 7 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 / 8 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 / 8 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 / 18 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 / 19 days ago
Practice this concept interactively on CodeCityApp โ free trial at codecityapp.com. - Source: dev.to / 7 days ago
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