AI-Assisted Software Engineering

LLM-powered development workflows: code generation, agentic coding, model context protocol, and RAG for codebases.

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Notes

• LLM Code Generation — prompt patterns, Copilot/Cursor usage, code review automation, and LLM limitations for coding
• MCP Protocol — Model Context Protocol architecture, server/client implementation, tool registration, and security
• Repo RAG for Code — code chunking strategies, AST-aware splitting, embedding models, and retrieval for IDE search
• Agentic Coding — autonomous coding agents (SWE-agent, Devin, Cursor), scaffolding patterns, and failure modes

Links

• Software Engineering
• Security
• Agentic Loop
• Function Calling