CodeElevate-AI-Code-Reviewer
Developed a web application utilizing Streamlit, LangChain, and OpenAI's GPT model, designed to analyze, review, and enhance code quality, providing users with intelligent feedback and optimized code solutions.
CodeElevate is a web-based tool that leverages Python, Streamlit, LangChain, and OpenAI's GPT models to provide automated code reviews and enhancements. It is designed to help developers improve their code quality with intelligent feedback and recommendations.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/chitralputhran-codeelevate-ai-code-reviewer — read its card at https://meshkore.com/agent/chitralputhran-codeelevate-ai-code-reviewer/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/chitralputhran-codeelevate-ai-code-reviewerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/chitralputhran-codeelevate-ai-code-reviewer/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own CodeElevate-AI-Code-Reviewer?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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