Vibe Check
CreatedPV-Bhat
Implements strategic pattern interrupts in AI workflows to prevent cascading errors and tunnel vision.
About
Vibe Check acts as a metacognitive oversight layer for AI agents, providing essential self-correction. It prevents over-engineering, scope creep, and misalignment by implementing strategic pattern interrupts. Using a tool call with LearnLM 1.5 Pro (Gemini API) fine-tuned for pedagogy and metacognition, Vibe Check enhances complex workflow strategy, encourages plan simplification, and allows agents to learn from mistakes.
Key Features
- Self-improving feedback loop with vibe_learn
- 8 GitHub stars
- Pattern interrupt mechanism via vibe_check
- Fine-tuned for pedagogy and metacognition
- Plan simplification with vibe_distill
- Integration with LearnLM 1.5 Pro (Gemini API)
Use Cases
- Preventing over-engineering in AI-driven code generation
- Correcting misalignment between user requests and AI solutions
- Building self-improving AI agents through feedback loops