How I Stopped My AI Coding Assistant from Hallucinating (and Saved My Token Budget)
Developers using AI coding assistants often face issues with hallucinations and excessive token usage as projects grow. Krishna Kant Singh introduced a lightweight framework called the .ai_context protocol to ground AI behavior and reduce token costs. The system uses structured Markdown files in a project's root directory to control context access and improve AI reliability.
- ▪The .ai_context protocol consists of five Markdown files that help manage AI context and reduce token consumption.
- ▪The README.md file acts as a router, determining which context files the AI should access for specific tasks.
- ▪Completed features and future roadmaps are tracked separately to prevent duplication and hallucination.
- ▪The secrets_manifest.md file helps prevent accidental exposure of sensitive information by mapping environment variables safely.
- ▪Switching between AI models becomes easier since the context is standardized and self-explanatory.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3934443) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Krishna kant singh Posted on May 17 How I Stopped My AI Coding Assistant from Hallucinating (and Saved My Token Budget) #ai #productivity #programming #llm Every developer using tools like Claude Engineer, ChatGPT, or Lovable eventually hits the exact same wall. You start a new project, and everything feels like magic. The AI understands your vision, writes clean components, and you’re moving at warp speed. Then week two hits.
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