AI & Agent Development setups
Convex vs Llm Application Dev for AI & Agent Development
Comparing two Claude Code plugins for ai & agent development. Below: side-by-side facts, then a verdict you can disagree with.
Side by side
Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development, schema design, real-time features, auth, file storage, scheduled jobs, and AI agents.
Tags
databaseairagagent
Install
/plugin install convex@claude-plugins-officialLLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4
Tags
ai-mlaillmragagent
- Author
- Seth Hobson
- Stars
- 37,077
- Updated
- Jun 2026
- Source
- GitHub
Install
/plugin marketplace add wshobson/agents && /plugin install llm-application-dev@claude-code-workflowsVerdict
Llm Application Dev edges out Convex for ai & agent development on this site's signals (tag fit, popularity, recency).
- Pick Convex if your project leans on database.
- Pick Llm Application Dev if you need stronger ai-ml support.
Auto-generated from tag fit, popularity, recency, and featured status. Not a hand review.