🔥 7 AI tools every engineer should master in 2026:
1. vLLM
High-throughput, low-latency LLM serving for production
https://github.com/vllm-pr...
2. Claude
Long-context reasoning, refactoring, deep code reviews
https://claude.ai
3. LangChain
LLM pipelines, RAG systems, production workflows
https://www.langchain.com
4. LangGraph
Stateful agents, multi-step workflows, HITL systems
https://www.langchain.com/...
5. Databricks
Enterprise ML, data pipelines, serverless GPU inference
https://www.databricks.com
6. FAISS
High-performance vector search at scale
https://github.com
1. vLLM
High-throughput, low-latency LLM serving for production
https://github.com/vllm-pr...
2. Claude
Long-context reasoning, refactoring, deep code reviews
https://claude.ai
3. LangChain
LLM pipelines, RAG systems, production workflows
https://www.langchain.com
4. LangGraph
Stateful agents, multi-step workflows, HITL systems
https://www.langchain.com/...
5. Databricks
Enterprise ML, data pipelines, serverless GPU inference
https://www.databricks.com
6. FAISS
High-performance vector search at scale
https://github.com
