CodeDebugger

System detects a 500-error spike via Sentry integration.

CodeDebugger analyzes the stack trace and matches it with the latest deployment diff.

It identifies a race condition in the database connection pool.

A fix is generated, tested in a sandbox, and a PR is opened within 45 seconds.

Developer approves the PR, and the system auto-deploys the patch.

Upload the legacy repository to CodeDebugger.

Run the 'Modernization Agent' to map functional requirements.

Generate a parallel architecture in the target language (e.g., Go or Rust).

Verify logic equivalence using the tool's built-in simulation engine.

Implement a phased migration PR plan.

CodeDebugger scans the entire organization for the vulnerable package version.

It determines which services are actually utilizing the vulnerable function call (to reduce noise).

It generates 200 distinct PRs that update the package and refactor any breaking changes.

Security team reviews the dashboard and bulk-approves fixes.

QA uploads a screenshot of the broken UI to CodeDebugger.

AI analyzes the DOM structure and CSS properties in the screenshot.

It identifies a media query conflict in the 'header.component.scss' file.

It suggests the exact CSS fix and provides a visual preview of the correction.

New hire asks the CodeDebugger chat: 'How is the authentication flow handled?'

AI provides a step-by-step walkthrough of the code path across 5 files.

AI generates a visual flowchart of the logic on the fly.

Developer is able to start contributing code in hours instead of days.

CodeDebugger analyzes where bugs have historically occurred.

It identifies 'thinly tested' high-traffic logic paths.

It generates specific integration tests targeting those edge cases.

It executes mutation testing to verify that the tests are actually effective.

CodeDebugger analyzes execution time logs from AWS CloudWatch.

It identifies an O(n^2) loop inside a serverless function.

It refactors the algorithm to O(n log n) and suggests a caching layer.

The fix is deployed, resulting in a 40% reduction in cloud compute costs.