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Claude Code Internal Tools - Technical Reference

Complete technical documentation of Claude Code's internal tools

This document provides comprehensive technical details about Claude Code's internal tools, including parameter schemas, implementation behaviors, and usage patterns.

Claude Sonnet 4.5

Technical Details:

appcypher

Claude Code Internal Tools - Technical Reference

Complete technical documentation of Claude Code's internal tools

This document provides comprehensive technical details about Claude Code's internal tools, including parameter schemas, implementation behaviors, and usage patterns.

Claude Sonnet 4.5

Technical Details:

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Claude.Desktop.Demo.mp4

Claude.Desktop.Demo.mp4

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Language	Primary Registry / Manager	Popularity Reason
C	❌ No official registry; OS package managers (apt, brew)	Systems programming, legacy software, embedded devices
C++	vcpkg, Conan, CPM	High-performance apps, game engines, system-level programming
C#	NuGet	.NET ecosystem, enterprise apps, game dev (Unity)
Clojure	Clojars	Functional programming on JVM, enterprise & web apps
Crystal	Shards	Ruby-like syntax, fast native c

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How to Achieve Synchronization Across Multiple RAFT Groups

Achieving synchronization across multiple RAFT groups, especially for operations that span different partitions and require atomicity, is a complex but critical aspect of building scalable, consistent distributed systems. Below, we revisit the challenges and strategies for atomic operations across RAFT groups.

In a multi-RAFT architecture, each RAFT group independently manages a subset of data. While this design enhances scalability and fault tolerance, it complicates operations that must be performed atomically across multiple partitions.

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Key Challenges

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Understanding Network Interfaces and Virtual Networking Concepts on Linux and macOS

In modern operating systems, networking is not limited to physical Ethernet interfaces (eth0, en0, etc.). There are a variety of virtual networking abstractions and constructs—like tun, tap, bridge, veth, subnet—that enable everything from virtual machines and containers to VPNs and complex local network simulations.

This document will break down how these components work, why they exist, and how they fit together. Examples will focus on Linux and macOS, with key differences noted.

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Physical vs Virtual Interfaces

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How monocore structurs files, configs it stores:

graph TD
    A[~/.monocore] --> B[monoimage/]
    B --> C[repo/]
    C --> D["[repo-name]__[tag].cid"]
    B --> E[layer/]

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use crate::compiler::reversible::Reversible;

//--------------------------------------------------------------------------------------------------
// Types
//--------------------------------------------------------------------------------------------------

/// The result of a combinator expression.
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum Combinator<T> {
    /// A single `T` value.

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[package]
name = "itertest"
version = "0.1.0"
edition = "2021"

[dependencies]
futures = "0.3.28"
pyo3 = "0.19.2"
pyo3-asyncio = { version = "0.19.0", features = ["tokio-runtime"] }
tokio = { version = "1.32.0", features = ["sync"] }

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Database Operations

Create

zql! {
    dbs::create(#app_db, {
        namespace: "bf91cccb-81ca-4ebe-9687-a79d7d3debb2"
    })
}