Production portfolio with a streaming AI chatbot (Gemini + SSE), containerized via Docker, deployed to Google Cloud R...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if cv-educornelsen belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/eduardocornelsen/cv-educornelsen && cd cv-educornelsen && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf cv-educornelsenNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ cv-educornelsen/ ← clones here
Production portfolio with a streaming AI chatbot (Gemini + SSE), containerized via Docker, deployed to Google Cloud Run through GitHub Actions CI/CD, with LangFuse LLMOps tracing every conversation. Open-source template — replicate it with Claude Code or Antigravity IDE.