Building an Agentic EVM Blockchain Processor with Groq and Go

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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

text

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

Architecture Overview

```mermaid

flowchart TB
    subgraph Agent["🐍 Python Agent"]
        C[CONFIG] --> P[PLAN] --> G[GENERATE] --> T[TEST] --> V[VALIDATE] --> E[EXECUTE]
        F[FIX] -.-> C
        E -.-> F
    end
```

    subgraph Groq["⚡ Groq LLM"]
        GL[Ultra-fast Code Generation]
    end    subgraph Output["📦 Generated Output"]
        GO[Go Backend<br/>EVM Processor]
        REACT[React Dashboard]
    end    subgraph External["External Services"]
        ETH[Ethereum RPC]
    end    Agent --> Groq
    Agent --> Output
    Output --> External
How the Agent Works
The agent executes 7 stages in sequence:Stage	What it does
CONFIG	Loads YAML configuration files
PLAN	Creates build plan based on config
GENERATE	Writes Go code using Groq/templates
TEST	Runs go test on generated code
VALIDATE	Checks go fmt and go vet
EXECUTE	Builds and runs the binary
FIX	Auto-fixes compilation 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

The React dashboard displays real-time metrics:

Features:

Auto-refreshes every 5 secondsResponsive design with Tailwind CSSCORS 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, CompoundNFTs: OpenSea, BlurDAOs: Decentralized governanceCompatibility: Runs on Polygon, BSC, Avalanche, etc.My system monitors the EVM (read-only) — it observes without executing transactions.

Project Structure

Key files:

text
agentic-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

bash
# 1. Clone the repository
git clone https://github.com/mmmattos/agentic-coding-evm-processor
cd agentic-coding-evm-processor# 2. Install dependencies
pip install -r requirements.txt
cd dashboard && npm install && cd ..# 3. Configure API keys
cp .env.example .env
# Edit .env with your GROQ_API_KEY and ETH_RPC_URL# 4. Run the agent (generates Go code)
python run_agent.py# 5. Start the Go backend
cd generated
go mod tidy
go run cmd/processor/main.go# 6. Start the dashboard (new terminal)
cd dashboard
npm start
Testing the API
bash
curl http://localhost:8080/api/metrics
Response:json
{
  "blockHeight": 19500000,
  "transactionsPerSecond": 0.12,
  "gasPrice": 35,
  "pendingTransactions": 127
}
Operating Modes
Performance
Metric	Value
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 LLMsUltra-low latency perfect for agent loopsCost-effective for code generationWithout Groq, the agent still works in mock mode (using templates).

Common Issues & Solutions

Issue	                |Solution
Port 8080 in use	|lsof -i :8080 && kill -9 <PID>
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 failoverDocker — Containerize Go backend and dashboardPostgreSQL — Store historical metricsPrometheus — Monitor the processor itself

What I Learned

Building this agent taught me:

Agent loops work — The 7-stage pipeline successfully generates working codeGroq is fast — Code generation in <500ms makes the agent feel interactiveGo is perfect for blockchain — Excellent concurrency and RPC supportReact + Tailwind — Rapid dashboard developmentEVM is accessible — Free RPC providers make monitoring easy

Try It Yourself
The complete code is available on GitHub:

👉 github.com/yourusername/agentic-evm-processor

Requirements:

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

Next Steps
Planned improvements:

Deploy to KubernetesAdd WebSocket support for real-time updatesMulti-chain monitoring (Polygon, BSC, Arbitrum)Historical data storageAlerting systemSmart contract event monitoring

Conclusion

Agentic systems can generate production-ready infrastructure automatically. The combination of:Python for orchestrationGroq for fast LLM inferenceGo for the generated backendReact for the dashboard...creates a powerful, self-improving system that writes, tests, and runs its own code.The agent loop works. Your infrastructure can build itself.Built with Python, Go, React, Groq, and Ethereum RPC.Questions? Open an issue on GitHub or reach out on LinkedIn.