Debugging with AI: Using Remocode's Assistant Panel to Fix Bugs Faster

# Debugging with AI: Using Remocode's Assistant Panel to Fix Bugs Faster

Two AI Surfaces, One Debugging Flow

Remocode gives you two distinct ways to interact with AI during debugging: the built-in AI assistant panel and the terminal-based coding agents. Used together, they create a powerful debugging workflow that can cut your bug-fixing time dramatically.

The assistant panel is ideal for quick questions, error analysis, and brainstorming. The terminal agents (Claude Code, Gemini CLI, etc.) are better for hands-on file edits, running tests, and applying fixes across multiple files.

Setting Up Your Debugging Environment

Layout for Debugging

Split your Remocode workspace into three areas:

• ●Left pane — Your AI coding agent (Claude Code or Gemini CLI) with access to the codebase.
• ●Right top pane — A terminal for running the application and observing errors.
• ●AI panel — Open the assistant panel for quick analysis and research.

This layout lets you reproduce bugs, analyze them, and apply fixes without switching windows.

Choose the Right AI Provider

Remocode's assistant panel supports multiple AI providers. For debugging, pick a model that excels at reasoning about code. You can switch providers on the fly, so try different models if one isn't giving helpful answers.

The Debugging Workflow

Step 1: Reproduce and Capture

Run your application in one terminal pane and reproduce the bug. Copy the full error output — stack trace, log messages, and any relevant context.

Step 2: Analyze in the Assistant Panel

Paste the error into the AI assistant panel with context:

"I'm seeing this error when a user submits the registration form with an email that already exists. Here's the stack trace: [paste]. The relevant handler is in src/routes/auth.ts."

The assistant panel will analyze the error, identify likely causes, and suggest investigation steps. This is faster than reading through stack traces yourself because the AI can cross-reference error patterns it has seen across millions of codebases.

Step 3: Investigate with the Terminal Agent

Based on the assistant panel's analysis, direct your terminal agent to dig deeper:

"Read src/routes/auth.ts and src/services/user-service.ts. Look for how duplicate email registrations are handled. Check if there's a try-catch around the database insert."

The terminal agent can read files, search the codebase, and report back with specific line numbers and code context.

Step 4: Apply the Fix

Once you understand the root cause, instruct the terminal agent to implement the fix:

"Add proper error handling for duplicate email entries in user-service.ts. Catch the unique constraint violation from the database and return a descriptive 409 Conflict response instead of a 500 error."

Step 5: Verify

Run the test suite from your terminal pane. If tests fail, feed the failure output back to the assistant panel for analysis and iterate.

Advanced Debugging Techniques

Error Alert Forwarding

Remocode can forward error alerts to Telegram. If you're running a long test suite or a staging deployment, you don't need to watch the terminal. Errors come to you.

Comparative Debugging

Use the assistant panel to compare working vs. broken behavior:

"Here's the API response when the feature works correctly: [paste]. Here's what it returns when it breaks: [paste]. What's different and what could cause it?"

Log Analysis

For intermittent bugs, paste large log files into the assistant panel and ask it to find anomalies. AI models are excellent at pattern-matching across hundreds of log lines where human eyes might miss a subtle timing issue or state inconsistency.

Multi-Agent Debugging

For complex bugs that span multiple services, run a terminal agent in each pane — one investigating the frontend, one the backend, one the database layer. Use the assistant panel to synthesize their findings into a unified diagnosis.

Remote Debugging via Telegram

When a bug appears in production and you're away from your desk:

• ●Get the error alert on Telegram.
• ●Use via to connect to your Remocode terminal.
• ●Ask the agent to pull logs and investigate.
• ●Review the agent's findings and approve a hotfix.
• ●Use status to confirm the fix deployed successfully.

This entire flow happens from your phone, reducing incident response time from hours to minutes.

Tips for AI-Assisted Debugging

• ●Provide full context — Include the error message, what you expected, what actually happened, and what you've already tried.
• ●Don't just fix the symptom — Ask the AI to identify the root cause, not just silence the error.
• ●Cross-reference with tests — Ask the agent to write a regression test that captures the bug before applying the fix.
• ●Use `audit` after fixes — Run Remocode's security audit command to ensure your fix didn't introduce new vulnerabilities.