The Second Opinion Pattern: One Agent Reviews Another

The second opinion pattern is a reliability framework where one autonomous agent reviews another agent's output to verify correctness and identify potential edge cases. In the current landscape of AI assisted development, a single model often fails to spot its own hallucinations or architectural gaps because it operates within the same probabilistic constraints that generated the error. By introducing a different model or a fresh instance of the same model as a critic, developers can catch mistakes before they reach the execution stage.

The Architecture of Agent Verification

Traditional software development relies on human code reviews to ensure quality. The second opinion pattern replicates this dynamic by treating the first agent as a creator and the second as a reviewer. This works best when the two agents have access to the same context but utilize different underlying prompts or reasoning paths.

When a primary agent generates a pull request or a complex function, the secondary agent evaluates the logic against a set of constraints. These constraints might include security standards, performance efficiency, or adherence to existing project conventions. This multi-step process reduces the chance of silent failures where the code runs but introduces subtle bugs.

Differentiating Critic Models

Choosing the right reviewer is essential for the success of this pattern. If both agents use the same model, they might share the same biases. Using diverse models like Claude Code for generation and Codex CLI for review can provide a broader perspective on the code.

1. The Generator Agent focuses on solving the immediate problem and passing unit tests.
2. The Reviewer Agent focuses on edge cases and code smells.
3. The Orchestrator (the developer) makes the final decision based on the review.

Implementing the Pattern in an Infinite Canvas

Monitoring multiple agents simultaneously is difficult in a standard tabbed interface. The context switching between different terminals or chat windows often leads to fragmented understanding. This is where an infinite canvas workspace becomes a technical advantage.

In Deska, you can arrange your workspace so the generator and the reviewer are side by side. By placing coding agents in adjacent panels, you can watch the primary agent write code in one terminal while the secondary agent analyzes the file in another. This spatial arrangement allows you to spot discrepancies immediately without flipping through tabs.

Visual Workflow Management

Using the Deska canvas, you can zoom out to see the entire pipeline. You might have one panel running a browser widget to monitor logs, a second panel with a terminal running Claude Code, and a third panel where Ask Deska helps you manage the interaction between them. This layout ensures you remain the high level orchestrator rather than a manual copy-paste operator.

Comparison of Multi Agent Strategies

Various tools approach agent coordination differently. Below is a comparison of how different environments handle high density agent workflows.

While tabbed IDEs are excellent for focused coding, they often struggle when you need to watch two autonomous agents interact in real time. The canvas approach allows for a persistent view of both the actor and the critic.

Security and Local First Execution

A major concern with the second opinion pattern is the exposure of sensitive source code to multiple third party providers. A local-first approach ensures that even when multiple agents are analyzing your files, the code remains on your machine.

Deska keeps your files, terminal sessions, and local environments contained within your hardware. When you use the mobile app to monitor these agents, the connection is established via a secure relay without exposing ports. This is critical when running agents that have the authority to modify files or execute commands. You can safely step away from your desk while your reviewer agent finishes its audit, checking the final status from your phone.

Configuring the Reviewer Agent

A successful reviewer agent needs a specific system prompt. Instead of telling the agent to write code, you should instruct it to act as a Senior Security Engineer or a Performance Architect.

• Instruct the reviewer to look for unhandled exceptions.
• Ask the agent to check if the new code violates any existing patterns in the code-git-files structure.
• Use the terminal to pipe the output of the first agent directly into a text file, then have the second agent read that file as its input.

Advanced Canvas Techniques

For more complex projects, the second opinion pattern can expand into a panel of experts. You might have three different panels: one for the code, one for the unit tests, and one for the documentation.

You can use notes panels to keep track of the critiques provided by different agents. This creates a permanent record of the design decisions made during the session. If the reviewer agent flags a potential memory leak, you can save that note right next to the code editor panel for future reference.

Managing AI Credits and Tokens

Running multiple agents can be expensive if not managed correctly. Using the BYOK model allows you to use your own API keys, giving you full control over which model you use for which task. You might use a more expensive, high reasoning model for the first draft and a faster, cheaper model for the initial linting and review.

Common Challenges with Agent Reviews

Automated reviews are not a silver bullet. Agents can still agree on a wrong solution if the initial prompt is misleading. This is known as consensus error. To mitigate this, ensure your primary and secondary agents are initialized with different instructions.

Another challenge is the management of long agent threads. As the conversation grows, the context window can become cluttered. Using agent-threads effectively means knowing when to clear the history and start a fresh review session to avoid confusing the model with outdated information.

FAQ

How do I run two agents side by side?

You can open multiple terminals or agent panels within the Deska workspace. Simply drag them to sit next to each other on the infinite canvas and initialize a different agent in each one.

Does the second opinion pattern work with local models?

Yes, as long as the agents can interface with your local files. Tools like OpenCode or Codex CLI can be configured to use local inference or private endpoints, maintaining a local-first workflow while still providing a rigorous review.

can I monitor agent reviews from my phone?

You can use the Deska mobile app to view the canvas and check the status of your terminal sessions. This allows you to monitor long running review processes or security audits while you are away from your main computer.

Get Started with Multi Agent Workflows

The second opinion pattern is most effective when you have the tools to visualize the interaction between models. By separating the creation and review phases, you build more robust software with fewer manual interventions.

To begin building your own multi agent workspace, download Deska for Mac, Windows, or Linux. You can start with the free version and experience the infinite canvas, placing your terminals, code editors, and documentation side by side to see the full picture of your development process.