How I Stopped My AI Coding Assistant from Hallucinating (and Saved My Token Budget)

1. 1Configure your AI coding assistant to use a limited context window
2. 2Test your assistant with a dataset of known correct and incorrect code snippets
3. 3Apply fine-tuning to your AI model using a small set of high-quality training data
4. 4Compare the performance of your assistant before and after fine-tuning
5. 5Run your assistant with a budget constraint to optimize token usage

Developers and DevOps teams can benefit from this knowledge to improve their workflow and reduce costs

💡 Fine-tuning your AI model with high-quality training data can significantly reduce hallucination and optimize token usage

💡 Stop AI coding assistants from hallucinating and save your token budget!