state management , Google Cloud Platform (GCP), Large Language Model (LLM)-native metrics, Application Programming Interfaces (APIs), Retrieval-Augmented Generation (RAG)-like architectures, Python, LangGraph, Observability frameworks, Evaluation pipelines, Vector databases, Multi-agent systems

Testing Frameworks, API design, AI tools, data connectors, scalable solutions, unit testing techniques

Typescript, Javascript, Alerts, Incident Response, Python, Tool-calling, Agents, Developer platforms, Prompt iteration, Safe rollouts, Retrieval and context systems, Production reliability metrics, Production code, CI/CD, AI-native workflows, Eval harnesses

API design, Distributed Systems, Python, AI/ML solutions, Semantic retrieval, Context engineering, AI engineering, Evaluations, SQL relational databases, Modern AI LLM concepts, Prompting agents, data infrastructure, Application layers, Gateway technologies, Cloud messaging, MCP tools

Java, Node, Typescript, Python, Git workflows, agent orchestration patterns, Go, model routing, Mobile, MCP and SDK-based integrations, CI CD, context engineering, Cost Optimization, testing strategies, modern agentic IDEs, prompt design, LLM mechanics, evals

Machine Learning, MLops, Big Data Technologies, Python, LLMs, open-source frameworks, vector databases, RAG pipelines, numerical programming tools, prompt engineering

Rust, Typescript, Apis, cross-program integrations, blockchain data indexers, Solana programs, production API services, SDKs, command-line tools