Building an Agentic EVM Blockchain Processor with Groq and Go

How I built an AI agent that generates production-ready blockchain infrastructure

The Problem

Setting up blockchain monitoring infrastructure typically requires:

• Writing RPC clients for Ethereum
• Building REST APIs
• Creating dashboards
• Managing configuration
• Writing tests

What if an AI agent could do all of this automatically?

The Solution

I built an agentic system that uses Groq’s ultra-fast LLM to generate a complete EVM blockchain processor in Go, complete with a React dashboard.

The agent loop:

CONFIG → PLAN → GENERATE → TEST → VALIDATE → EXECUTE → FIX

Each stage performs a specific task, and the agent iterates until everything works.

Architecture Overview

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How the Agent Works

The agent executes 7 stages in sequence:

`
Stage |What it does
CONFIG |Loads YAML configuration
PLAN |Build plan config based
GENERATE |Writes Go code u
TEST |Runs go tests
VALIDATE. |Checks go fmt and go vet
EXECUTE |Builds and runs
FIX |Auto-fixes compile errors

`

What the Generated Go Code Does

The agent produces a production-ready Go binary that:

• Connects to Ethereum via RPC (Alchemy/Infura)
  Fetches real-time data:

  • Current block height
  • Gas price (in Gwei)
  • Pending transaction count
  • Calculates TPS (blocks/second)

• Exposes REST API at :8080/api/metrics

• Serves CORS-enabled endpoints for the dashboard.

The Dashboard

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The React dashboard displays real-time metrics:

Features:

• Auto-refreshes every 5 seconds
• Responsive design with Tailwind CSS
• CORS enabled for local development

What is EVM?

The Ethereum Virtual Machine (EVM) is the runtime environment for smart contracts on Ethereum and 50+ compatible chains.

Why it matters:

• DeFi: Uniswap, Aave, Compound
• NFTs: OpenSea, Blur
• DAOs: Decentralized governance
• Compatibility: Runs on Polygon, BSC, Avalanche, etc.

This system monitors the EVM (read-only) — it observes without executing transactions.

Project Structure

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Key files:

agentic-coding-evm-processor/
├── agent/ # Python agent (7 stages)
├── configs/ # YAML configuration
├── dashboard/ # React frontend
├── generated/ # Created by agent
├── .env # API keys
└── run_agent.py # Entry point

Prerequisites

• Python 3.9+
• Go 1.21+
• Node.js 18+

Required API Keys


Key |Purpose |Where to get
GROQ_API_KEY |LLM for code generation |console.groq.com
ETH_RPC_URL |Blockchain data |alchemy.com (free)


Setup & Run

1. Clone the repository


git clone https://github.com/mmmattos/agentic-coding-evm-processor
cd agentic-coding-evm-processor


1. Install dependencies


pip install -r requirements.txt
cd dashboard && npm install && cd ..


1. Configure API keys


cp .env.example .env


• Edit .env with your GROQ_API_KEY and ETH_RPC_URL

1. Run the agent (generates Go code)
   
python run_agent.py


2. Start the Go backend


cd generated
go mod tidy
go run cmd/processor/main.go


1. Start the dashboard (new terminal)


cd dashboard
npm start


Testing the API


curl http://localhost:8080/api/metrics


Response:

json

{
"blockHeight": 19500000,
"transactionsPerSecond": 0.12,
"gasPrice": 35,
"pendingTransactions": 127
}


Operating Modes

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Performance


Metric
Agent execution: ~30 seconds
Code generation: <500ms (Groq)
Go binary startup: <2 seconds
API response: <100ms
Dashboard refresh: 5 seconds


Why Groq?

• Groq's LPU (Language Processing Unit) provides:
• 10-100x faster inference than traditional LLMs
• Ultra-low latency perfect for agent loops
• Cost-effective for code generation

Without Groq, the agent still works in mock mode (using templates).

Common Issues & Solutions

`

Port 8080 in use: lsof -i :8080 && kill -9
Gas price shows 0: Check ETH_RPC_URL in .env
Dashboard won't compile:Run npm install in dashboard/
go.mod not found: Agent generates it — run agent first

`

Advanced: Production Deployment

For production, consider:

• eRPC proxy — Aggregates multiple RPC endpoints for failover
• Docker — Containerize Go backend and dashboard
• PostgreSQL — Store historical metrics
• Prometheus — Monitor the processor itself

What I Learned

Building this agent taught me:
Agent loops work — The 7-stage pipeline successfully generates working code
Groq is fast — Code generation in <500ms makes the agent feel interactive
Go is perfect for blockchain — Excellent concurrency and RPC support
React + Tailwind — Rapid dashboard development
EVM is accessible — Free RPC providers make monitoring easy

Try It Yourself

The complete code is available on GitHub:
👉 https://github.com/mmmattos/agentic-coding-evm-processor

Requirements:

• Free Groq API key (takes 2 minutes)
• Free Alchemy API key (takes 2 minutes)
• 10 minutes to run through the setup