Join thousands of developers in sharing insights about building and deploying AI agents.
import
insights from the full spectrum of AI agent development, from frameworks and models to deployment strategies and ethical considerations.
async
survey designed to respect your time. Complete in approximately 5 minutes, with options to save and continue later.
All responses analyzed()
to identify trends, challenges, and opportunities in AI agent development, with interactive visualizations.
Frameworks: LangChain, LlamaIndex, AutoGen, CrewAI, AI SDK
Models: GPT-4, Claude 3, Llama 3, Mistral, Local models
Languages: Python, JavaScript, TypeScript, Go, Rust
Platforms: AWS, GCP, Azure, Vercel, Kubernetes
Monitoring: Prometheus, Grafana, LangSmith, Custom solutions
Databases: Pinecone, Weaviate, Qdrant, ChromaDB, pgvector
Concerns: Bias, Privacy, Transparency, Safety
Trends: Multimodal AI, Agent collaboration, Edge deployment
Challenges: Cost, Reliability, Integration, Regulation
Tools, frameworks, and languages you use to build AI agents
How you deploy, scale, and manage AI agents in production
The problems you're solving and industries you're working in
The foundation models and architectural patterns you prefer
How you approach responsible AI development and governance
Your predictions for where AI agent technology is heading
npm run survey
> Starting survey server on port 3000...
open http://localhost:3000/survey