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.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/afkkrishna/how-i-stopped-my-ai-coding-assistant-from-hallucinating-and-saved-my-token-budget-2kf2 |
| Publication time | Sun, 17 May 2026 07:04:59 +0000 |
| Retrieval time | 2026-05-17T07:33:59.097Z |
| Last seen | 2026-05-17T07:33:59.097Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Ke89QEWKUAgl |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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