---
title: "Discussion on \"Why Your AI Coding Assistant Gives Wrong Answers on Large Codebases\" | Hashnode"
description: "Discussion on \"Why Your AI Coding Assistant Gives Wrong Answers on Large Codebases\". The problem nobody talks about\nYou're on Claude Pro. Or Cursor Pro. Or paying for Codex. The model is smart. The subscription is paid. But somehow, your AI assistant still gives you confidently wrong"
url: "https://hashnode.com/posts/why-your-ai-coding-assistant-gives-wrong-answers-on-large-codebases/69d7f8d2fa7251682ee69cbf"
---

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# [Why Your AI Coding Assistant Gives Wrong Answers on Large Codebases](https://vijay-singh.hashnode.dev/why-your-ai-coding-assistant-gives-wrong-answers-on-large-codebases?utm_source=hashnode&utm_medium=feed)

The problem nobody talks about You're on Claude Pro. Or Cursor Pro. Or paying for Codex. The model is smart. The subscription is paid. But somehow, your AI assistant still gives you confidently wrong

Apr 9 · 8 min read · vijay-singh.hashnode.dev  
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## Written by

[vijay singh](https://hashnode.com/@vjsingh)

@vjsingh · Rome , Italy

  
[View profile](https://hashnode.com/@vjsingh)

Staff Software Engineer & AI Architect | Bridging Applied AI and Product Engineering | AI Safety, Cost-Aware Systems & Architecture

I’m a backend-heavy Full Stack Staff Software Engineer and AI Architect, building production systems with React, TypeScript, and Node.js, alongside applied AI/ML platforms in Python. My foundation is backend engineering — designing distributed, observable, and cost-efficient systems that power real products at scale. While I work across the full stack, my strength lies in backend architecture, service design, data systems, and platform infrastructure. I specialize in translating AI capabilities into reliable production systems that hold up under real users, real data, and real unit economics. At Staff level, I operate across backend engineering, AI systems, and product architecture — bridging machine learning capabilities with robust software design. What I design and operate: • Scalable backend services and APIs (Node.js / TypeScript) • Full-stack product systems (React + TypeScript) • Production-grade generative AI applications (customer-facing products, internal tools, workflow automation) • LLM-powered data processing and enrichment pipelines • RAG systems grounded in structured business context • Knowledge graph integrations (Neo4j) for structured reasoning • Cost-aware inference systems (dynamic routing, semantic caching, usage optimization) • Secure and sandboxed AI execution environments • CI/CD and evaluation-driven ML deployment workflows I treat AI as infrastructure — not a feature. Safety, cost control, and context grounding are enforced at the systems layer rather than left to prompts. My impact is strongest in backend-heavy system design, platform thinking, and building long-lived technical foundations that teams can scale on. Core strengths: Backend Engineering • Full Stack Development • React • TypeScript • Node.js • Distributed Systems • AI Platform Engineering • Production ML & GenAI • RAG • Knowledge Graphs • System Architecture • Python

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