Vibe Coding: Closing The Feedback Loop With Traceability

Vibe coding, an innovative approach to software development, is gaining traction among developers who aim to enhance productivity through the use of large language models (LLMs) and AI tools like Cursor and Claude Sonnet 4. The process involves creating a feedback loop that provides execution visibility to the LLMs, addressing the blind spots that occur when LLMs generate code without understanding the results of their execution. By integrating Model Context Protocol (MCP) and tools like Sentry, developers can track application performance and feed telemetry data back to the LLMs for improved iteration and error correction. This process includes generating a plan document, implementing features, deploying to a staging environment for testing, and analyzing execution traces to verify code behavior against the plan. The ultimate goal is to refine agentic workflows and maintain software quality by implementing feedback loops and automated testing, paving the way for future advancements in software development with AI integration.