Skip to content
Pydantic AI

Code Review Agent with Pydantic AI

Build an AI code review agent that reads files, searches for patterns, analyzes code quality, and suggests improvements — with Pydantic AI.

code reviewstatic analysisqualitydeveloper tools

Working Code

Pydantic AI
from pydantic_ai import Agent, RunContext
agent = Agent(
"openai:gpt-4o",
system_prompt="You are a code reviewer. Find relevant files, read them, search for patterns, and provide a structured review covering security, performance, and best practices.",
)
@agent.tool
async def read_file(ctx: RunContext, path: str) -> str:
"""Read a file from the project."""
return Path(path).read_text()
@agent.tool
async def find_files(ctx: RunContext, pattern: str) -> str:
"""Find files matching a glob pattern."""
files = list(Path(".").rglob(pattern))
return "\n".join(str(f) for f in files[:20])
@agent.tool
async def search_code(ctx: RunContext, pattern: str, path: str = ".") -> str:
"""Search for a regex pattern in source files."""
import subprocess
result = subprocess.run(
["grep", "-rn", pattern, path, "--include=*.py"],
capture_output=True, text=True,
)
return result.stdout[:3000] or "No matches found."
result = await agent.run("Review the Python files in src/ for common security issues")
print(result.output)

Step by Step

1

Install dependencies

Install Pydantic AI and the required tools for this use case.

2

Define your tools

Create the domain-specific tool functions your agent will use to interact with external services.

3

Create the agent and run

Initialize the Pydantic AI agent with your tools, set the system prompt, and execute a query.

Ready to build with Pydantic AI?

Generate a production-ready project with Pydantic AI pre-configured — FastAPI + Next.js, auth, streaming, and more.

Get Started

Ready to build your first production AI agent?

Open-source tools, battle-tested patterns, zero boilerplate. Configure your stack and ship in minutes — not months.