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intermediate 20 min

Automated Code Review Agent

Let an AI agent review your code for bugs, security issues, and style problems — with safe filesystem access

code-reviewfilesystemautomation

The Problem

Manual code reviews are time-consuming and inconsistent. Automating reviews requires giving an AI agent secure filesystem access to read code, understand project structure, and write reports — without risking destructive operations.

The Solution

Deep Agents includes 7 built-in filesystem tools (read_file, write_file, edit_file, ls, glob, grep, execute) with sandboxing. The agent can navigate codebases, read files, search for patterns with grep/glob, and write review reports — all with configurable safety boundaries.

Working Code

code_review_agent.py
from deepagents import create_deep_agent
from langchain.chat_models import init_chat_model
agent = create_deep_agent(
model=init_chat_model("anthropic:claude-sonnet-4-5-20250929"),
system_prompt="""You are a senior code reviewer. For each file:
1. Read the code with read_file
2. Check for bugs, security issues, and style problems
3. Write a review report with write_file
4. If issues are fixable, apply the fix with edit_file""",
)
# The agent has built-in filesystem tools:
# read_file, write_file, edit_file, ls, glob, grep, execute
result = agent.invoke({
"messages": [("user", "Review all Python files in src/ for security vulnerabilities and write a report to REVIEW.md")]
})

Step by Step

1

Install deepagents

Install with `pip install deepagents` and set your Anthropic API key. The filesystem tools are included by default — no extra dependencies needed.

2

Configure system prompt

Write a detailed system prompt that defines the review process: what to look for (bugs, security, style), how to structure findings, and when to apply automatic fixes vs. just report.

3

Point at codebase

Invoke the agent with a message describing what to review. The built-in `ls`, `glob`, and `grep` tools let the agent discover and navigate the project structure on its own.

4

Review the generated report

The agent writes a structured REVIEW.md with findings categorized by severity (critical, warning, info), file references, and suggested fixes. If configured, it can also apply safe fixes automatically.

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