One Agent Reviewing Another's Work: Strategies for Automated Code Quality

The concept of one agent reviewing another represents a shift from simple prompt completion to complex agentic workflows. By delegating the validation of code to a second, independent entity, developers can catch logical fallacies and syntax errors that a single pass might miss. This method relies on a separation of concerns where one agent acts as the implementer and the other as the quality assurance specialist.

The Architecture of Peer Review in AI

When we talk about one agent reviewing another, we are describing a feedback loop. In standard software development, peer review is a human gatekeeper. In automated systems, this process is mirrored by passing the output of a generative model into a secondary model with a specific instruction to find flaws.

This architecture solves the problem of model overconfidence. Generative models often produce code that looks correct but fails during execution or contains subtle security vulnerabilities. By introducing a reviewer, you create a tension that forces higher quality outputs.

Implementation Patterns

There are three primary ways to structure these interactions:

1. The Critic Pattern: The reviewer looks for specific anti-patterns or stylistic violations.
2. The Tester Pattern: The reviewer generates unit tests based on the implementation and reports failures.
3. The Specialist Pattern: A generalist agent writes code, and a security-focused agent audits it for vulnerabilities.

Benefits of Multi-Agent Validation

The primary advantage of this method is the reduction of hallucinations. When a single agent is responsible for both creation and verification, it often suffers from confirmation bias. It assumes its logic is sound. A second agent, starting from a different prompt context, evaluates the code objectively.

This approach also allows for specialized personas. You might use a fast, cheaper model for the initial drafting and a more reasoning-heavy model for the review. This distributes the computational cost and focuses high-reasoning tokens on the most critical phase: verification.

Using Deska for Parallel Agent Workflows

Deska provides a unique environment for these types of workflows because it allows you to run multiple coding agents side by side. Unlike standard chat interfaces that limit you to a single thread, the infinite canvas in Deska allows you to monitor an implementer and a reviewer simultaneously.

You can place a panel running Claude Code next to a panel running OpenCode. As one agent writes to the file system, the other can be instructed to read the same file and provide feedback. This local-first approach ensures that all agent interactions happen on your machine, keeping your source code private.

Monitoring the Review Process

Because Deska supports terminals and a built-in code editor, you can see the review results in real time. If the reviewer agent identifies a bug, you can use Ask Deska to prompt the first agent to fix it. The canvas layout makes it easy to zoom out and see the entire lifecycle of a feature from the initial prompt to the final reviewed code.

• Open a terminal for the primary agent.
• Open a second terminal for the auditor.
• Use the Monaco editor panel to watch the files update.
• Use the browser widget to check documentation or run web-based tests.

Comparison of Review Strategies

Different tools handle agentic feedback in various ways. Some platforms hide the intermediate steps, showing you only the final result. Others require manual intervention to pass data between agents.

Tools like AutoGPT or specialized IDE extensions often use sequential chains. Deska differs in approach by emphasizing a local-first environment where the user can intervene at any point. The ability to see both agents working in separate panels reduces the "black box" feeling of automated reviews.

Security and Privacy in Automated Reviews

When an agent reviews code, it needs full access to the context of the project. In cloud-based environments, this means sending large portions of your codebase to a remote server. By using a tool that prioritizes data and storage on your own hardware, you mitigate the risk of data leaks.

Deska allows you to use your own API keys, meaning you have direct control over which models see your code. The mobile app also lets you monitor these long-running review processes via a secure relay without exposing ports on your local network. You can check the progress of a multi-agent task from your mobile device while away from your desk.

Handling Conflict Between Agents

Occasionally, two agents will disagree. The implementer may argue that a specific pattern is necessary for performance, while the reviewer flags it as a readability issue. As the developer, you act as the tie-breaker.

The Ask Deska assistant can help resolve these conflicts. You can ask the assistant to summarize the arguments from both agent panels and then make an informed decision. This creates a collaborative environment where the AI agents serve as assistants rather than autonomous black boxes that you cannot control.

FAQ

How do I trigger one agent to review another?

In a multi-panel environment like Deska, you point the second agent to the file path created by the first. You then provide a prompt specifically focused on auditing, such as "Review the code in index.js for potential memory leaks or logic errors."

Does using two agents double the cost?

Yes, using a second agent for review will consume more tokens. However, this is often more cost-effective than fixing bugs in production. You can manage your costs by using the pricing model that fits your needs, such as using your own API keys for specific models.

Can agents run tests as part of the review?

Yes. An agent can be instructed to write a test suite and execute it in a terminal panel. The output of the test command serves as objective feedback for the implementation agent to iterate upon.

Start Building with Multiple Agents

Improving code quality through automated peer review is a practical way to leverage modern AI models. By setting up a workspace that supports side-by-side agent execution, you gain better visibility into the logic and flaws of generated code.

Deska is a free desktop app for Mac, Windows, and Linux that makes this multi-agent workflow possible. You can place your terminals, editors, and agents exactly where you want them on an infinite canvas.

Download Deska to start running Claude Code and other agents locally.