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The future of building software with AI is shifting fast β here's what I'm exploring right now:
- π€ Agentic Engineering β designing autonomous AI agents that can plan, reason, and execute tasks
- π§ Context Engineering β crafting the right context windows, memory, and retrieval strategies for LLMs
- π― Prompt Engineering β building robust prompts and prompt chains for reliable AI outputs
- π§ Harness Engineering β building evals, tooling, and infrastructure around AI systems
- π MCP (Model Context Protocol) β connecting LLMs to external tools and data sources
- π RAG & Vector Databases β retrieval-augmented generation pipelines for grounded AI responses


