Fix Claude Code Hallucinations — Full Codebase Context

Last updated: April 2026 | Reading time: 5 min

Claude Code is one of the most powerful AI coding tools available — Anthropic's Claude model is exceptional at reasoning about code. But even Claude Code has a critical blind spot: it can only see a fraction of your codebase at a time.

When Claude Code can't see the full picture, it hallucinates. It invents function signatures, misses config files, and breaks dependencies it doesn't know about. This guide shows you how to fix that with one command.

Why Claude Code Hallucinates

Claude Code uses file search, grep, and open files to build context. On a large project, it faces a fundamental constraint: the context window has a token limit. Claude Code is smart about what it reads, but it can't read everything.

The result:

• Partial visibility — Claude Code sees files relevant to your query, but misses related configs, utilities, and type definitions
• Wasted tokens — when it does read files, it reads them in full — including boilerplate, comments, and duplicate code
• No dependency awareness — it doesn't know that auth.py depends on auth_config.py unless it explicitly searches for it
• No learning — each conversation starts fresh with no memory of which context worked best

The Fix: Entroly as an MCP Server

Entroly plugs into Claude Code as an MCP (Model Context Protocol) server. Instead of Claude Code searching for files manually, Entroly delivers the optimal context automatically:

Setup: One Command

Step 1: Install

pip install entroly[full]

Step 2: Connect to Claude Code

claude mcp add entroly -- entroly

That's it. Claude Code now uses Entroly's MCP server for context. Every request gets optimized automatically.

Step 3: Verify

entroly demo

See the before/after on your actual codebase. Check token savings, file coverage, and cost reduction.

What Happens Behind the Scenes

When you ask Claude Code a question, Entroly:

1. Analyzes your query — extracts intent, keywords, and relevant code areas
2. Selects optimal context — uses a knapsack solver to pick the best fragments that fit the token budget
3. Delivers at 3 resolution levels — critical files in full, supporting files as signatures, peripheral files as references
4. Tracks what worked — reinforcement learning improves selection over time

The entire pipeline takes less than 10ms. Claude Code gets better context, you get better answers, and you pay less for tokens.

Advanced: Claude Code + Entroly Pro Tips

Use quality presets for different tasks

# Quick fixes — speed matters
entroly proxy --quality speed

# Architecture questions — quality matters
entroly proxy --quality max

Check your savings

entroly dashboard

The dashboard shows lifetime token savings, cost trends, codebase health grades, and PRISM weight evolution.

Role-based optimization

entroly role backend   # optimizes for backend-heavy context
entroly role frontend  # optimizes for UI/component context
entroly role fullstack # balanced

FAQ

Does my code leave my machine?

No. Entroly runs 100% locally. It processes your code on your machine and delivers context to Claude Code locally via MCP.

Does it work with Claude Code's free usage?

Yes. Every tier benefits — fewer tokens per request means more requests within your quota.

Can I use it alongside CLAUDE.md files?

Absolutely. CLAUDE.md gives Claude Code your project instructions. Entroly gives it your code context. They're complementary.

pip install entroly[full]
claude mcp add entroly -- entroly