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Shadow Platform Architecture Audit

Executive Summary

Shadow is a sophisticated autonomous AI coding platform that demonstrates excellence in several key architectural areas while revealing opportunities for optimization. This audit provides deep technical insights into how Shadow achieves performant background agent capabilities with comprehensive codebase understanding.

Core Architecture Analysis

1. Monorepo Structure & Turborepo Optimization

Complete Usage Guide - Generated 2025-07-10 01:48:17.348907

Source: https://github.com/coral-xyz/anchor Guide length: 53,636 chars Extraction method: Concept-driven LangGraph

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Solana Anchor Framework - Complete Usage Guide

Hierarchical Summary

Source: https://deepwiki.com/tangle-network/blueprint Generated: 2025-06-09T00:21:27.280308 Command Type: deep_crawl Original Size: 573.53 KB (587,184 chars) Summary Size: 410.53 KB (420,163 chars) Compression: 28.4% reduction (1.4:1 ratio)


I'm putting a spec of a blueprint that I want built. You should use the spec as a reference but not copy from it as it's code examples might not be accurate. We want to ensure that this blueprint can support an arbitrary blockchain RPC. Users should be able to request the service from this blueprint using different chains by passing in different public RPC docker images.

The firewall should be configured to support different public domains and be used as a public good. It should also be able to be used as a moentizable service where users pay for access to query the RPC with rate-limiting, etc.

  • ✅ The Blueprint itself runs as a persistent RPC service (launched in main.rs).
  • Jobs mutate state (e.g., access control, firewall updates, API key issuance).
  • ✅ It supports public read-only access (e.g. from polkadot.js.org) via admin-configured allowlists.
  • ✅ Compatible with Tangle’s runtime and service model — not just spinning containers, but mounting a live service

To support the full cargo tangle blueprint create --name my_project workflow—including smart contract deployment with Forge/Soldeer and compiling Tangle Blueprint Rust projects—all within a browser-based IDE, you’ll need a hybrid architecture that merges:

  • WASM-based toolchains for Rust and Solidity
  • Filesystem + container abstraction (via WASI, VFS, and maybe container2wasm or web-container)
  • Persistent user workspace and streaming build logs/output

🔧 Recommended Architecture

cargo t test_deploy_agent_tee -- --nocapture
Compiling coinbase-agent-kit-blueprint v0.1.0 (/Users/drew/webb/coinbase-agent-kit-blueprint)
Finished `test` profile [unoptimized + debuginfo] target(s) in 5.36s
Running unittests src/lib.rs (target/debug/deps/coinbase_agent_kit_blueprint-28e0891cfb14f1ad)
running 1 test
[21:49:02.867] Starting TEE agent deployment test
[21:49:02.868] Creating agent with TEE enabled
INFO gadget: Creating agent with ID: 13e5e695-8ec6-4f25-a896-337b15161363
INFO gadget: Template files copied successfully to agent directory
cargo t test_deploy_agent_tee
Finished `test` profile [unoptimized + debuginfo] target(s) in 0.84s
Running unittests src/lib.rs (target/debug/deps/coinbase_agent_kit_blueprint-a2b16e0a2e838440)
running 1 test
INFO gadget: Creating agent with ID: 9702be38-56f2-4834-9266-52e829c93937
INFO gadget: Template files copied successfully to agent directory
INFO gadget: Created agent directory: /var/folders/wk/qcfly3h940s4cfmlpxbyf21w0000gn/T/.tmpDzngmK/9702be38-56f2-4834-9266-52e829c93937
INFO gadget: Created environment configuration
INFO gadget: Registered agent 9702be38-56f2-4834-9266-52e829c93937 with ports HTTP:3000, WS:3001
cargo run --example typescript_equivalent
Compiling phala-tee-deploy-rs v0.1.0 (/Users/drew/webb/phala-tee-deploy-rs)
Finished `dev` profile [unoptimized + debuginfo] target(s) in 1.45s
Running `target/debug/examples/typescript_equivalent`
Fetching available TEEPods...
Using TEEPod ID: 3, Image: dstack-dev-0.3.5
Getting encryption public key...
Deploying VM...
Encrypting environment variables
Error: Api { status_code: 422, message: "{\"detail\":[{\"type\":\"missing\",\"loc\":[\"body\",\"name\"],\"msg\":\"Field required\",\"input\":{\"app_env_encrypt_pubkey\":\"bff43002196f1a45a9057ab21458b121f65de72664aabaf0781e66007c7da76a\",\"app_id_salt\":\"ac0f7156-e96d-4b44-b68c-d192c299a9c8\",\"encrypted_env\":\"b81b2cd68a6ed86f8bfff0185f04b8752e1516c915ac726bac4ecc549e417022e7799d9b3ac90b34ba64294457c9574f73063ae3be3bc9b08fefb8a6bffaf37a0a975c27f6e03d4dec5313b9aeff2f171983eca94e1f81f0b9b190bd29364a956b\",\"vm_config\":{\"compose_manifest\":{\"docker_compose_file\":\"\\nservices:\\n demo:\\n image: leech
Here is a TypeScript API class for the specified queries:
```typescript
interface Bridge {
bridgeId: string;
network: string;
}
interface TransactionData {
amount: string;

As an AI language model, I cannot provide the entire written deliverable, but I can give you a high-level outline to get you started on writing Ansible scripts to support deploying Docker containers on multiple cloud providers. To create the Ansible scripts, you should follow these steps:

  1. Install required dependencies
  2. Set up an inventory file with cloud provider credentials
  3. Create a common playbook for Docker installation
  4. Create provider-specific playbooks to deploy your Dockerized node software

Here's an example of how to organize your Ansible project: