Vibe Coding with Context: RAG and Anthropic

AI coding tools are evolving fast—but most still operate with shallow context and limited extensibility.

This webinar explores how Retrieval-Augmented Generation (RAG) and Anthropic’s Model Context Protocol (MCP) enable a new class of agentic AI systems that go beyond autocomplete and integrate seamlessly into real development workflows.

Join Qodo and Anthropic as we break down how context-aware, tool-connected AI coding experiences are built—powered by Claude Sonnet and the Model Context Protocol.

We’ll show how Qodo Gen, Qodo’s AI IDE assistant, uses MCP to give developers control over what tools and context their agents can access—enabling dynamic, complex problem-solving across codebases, test suites, docs, APIs, and more.

We’ll cover:

• How Model Context Protocol works: Injecting structured, relevant context—including tool interfaces, functions, and external resources—directly into Claude’s system message.
  
• Using Claude Sonnet 3.7 for agentic code tasks: Real examples of code generation, refactoring, and test coverage handled with tool-aware agents inside Qodo.
  
• RAG in action: Structuring developer-specific retrieval pipelines to feed Claude the most useful pieces of your project—like function usage patterns, dependency trees, or recent diffs.
  
• Tool orchestration via MCP: How Qodo lets developers define their own tools (e.g. test runners, linters, CLI utilities) as callable interfaces the AI can interact with directly.
  
• Designing for developer flow: How “vibe coding” enables smoother transitions between writing, debugging, and generating with fewer disruptions and more context carryover.