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Ketki M Khati Khatiketki

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Part 1: Infrastructure Analysis 🐳
Task 1.1: Docker Deep Dive
1.List all services defined in docker-compose.yml
• Services in docker-compose.yml:
o hive-server: The core backend API (Port 3001).
o honeycomb: The React frontend dashboard (Port 3000).
o postgres: Relational data for users/auth.
o mongodb: Document storage for agent node graphs.
o timescaledb: Time-series engine for logs/metrics.
o redis: Hot storage for heartbeats and task queues.
This guide covers the technical insights required for the Honeycomb (Aden's Dashboard) challenge. These answers reflect a modern AI-platform frontend stack typical of the Aden ecosystem.
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Part 1: Codebase Exploration 🔍
1. What React version is used?
React Version: React 18 (utilizing Concurrent features for real-time UI updates).
2. What styling solution is used? (Tailwind, CSS Modules, etc.)
Styling: Tailwind CSS combined with Radix UI primitives for accessible unstyled components.
3. What state management approach is used?
State Management: TanStack Query (React Query) for server state; Zustand for lightweight global UI state (e.g., sidebar toggles, theme).
4. What charting library is used for analytics?
This guide provides the technical foundation needed to complete the Aden Agent Challenge. Use these structured insights to build out your GitHub Gist submission.
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Part 1: Agent Fundamentals
Task 1.1: Core Concepts 📚
1. What is a "node" in Aden's architecture? How does it differ from a traditional function?
• The "Node": In Aden, a node is an atomic unit of intelligence. Unlike a traditional function (which is static and deterministic), a node is an LLM-powered entity that possesses intent, can handle unstructured data, and makes decisions about which tools to use.
2. Explain the SDK-wrapped node concept. What four capabilities does every node get automatically?
SDK-Wrapped Node Capabilities: Every node automatically receives:
1. Observability: Built-in logging and metric tracing.
2. Memory Access: Hooks for STM and LTM.
Part 1: Join the Aden Community (10 points)
Task 1.1: Star the Repository ⭐
Show your support by starring our repo!
1. Go to github.com/adenhq/hive
2. Click the Star button in the top right
3. Screenshot your starred repo (showing the star count)-> https://imgur.com/a/yNmvW82
Task 1.2: Watch the Repository 👁️
Stay updated with our latest changes!
@Khatiketki
Khatiketki / 02-architecture-deep-dive
Last active January 30, 2026 03:52
02-architecture-deep-dive
Part 1: System Architecture
Task 1.1: Component Mapping 🗺️
Q: Describe the data flow from when a user defines a goal to when worker agents execute. Include all major components.
A: The flow begins at the Honeycomb Dashboard, where the user submits a natural language goal. This goal is sent to the Coding Agent, which acts as the architect to synthesize a GraphSpec (agent.json) and generate the necessary connection code. This specification is passed to the AgentRunner, which initializes the NodeContext (tools, memory, and credentials). Finally, the GraphExecutor runs the specialized Worker Agents to perform the tasks.
Q: Explain the "self-improvement loop" - what happens when an agent fails?
A: When a failure occurs, the system captures a detailed "failure packet" (logs, state, and prompts) and stores it. The Coding Agent then analyzes this data to identify the root cause. It "evolves" the agent by modifying the node graph or rewriting the connection code to fix the issue. The improved agent is then redeployed