Who should use the Detect code bugs workflow?
Teams or solo builders working on development tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Development
A focused workflow to identify bugs in your codebase using code structure analysis and automated bug detection, ensuring thorough coverage before fixing.
Deliverable outcome
A prioritized, deduplicated list of bugs with severity and confidence ratings, ready for fixing.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A prioritized, deduplicated list of bugs with severity and confidence ratings, ready for fixing.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use CodeGrip to a clean static analysis report with no false positives, highlighting all syntax and style-related bugs. Then, you pass the output to EvoSuite to a list of failing tests and a coverage report highlighting untested code regions. Then, you pass the output to Swe-agent to a log of runtime anomalies, including crashes, assertion failures, and memory issues. Then, you pass the output to Cubic AI to a documented list of suspected bugs with locations and descriptions, ready for triage. Finally, CodeGrip is used to a prioritized, deduplicated list of bugs with severity and confidence ratings, ready for fixing.
Set up static analysis and linting
A clean static analysis report with no false positives, highlighting all syntax and style-related bugs.
Run unit tests with coverage analysis
A list of failing tests and a coverage report highlighting untested code regions.
Perform dynamic analysis with runtime checks
A log of runtime anomalies, including crashes, assertion failures, and memory issues.
Conduct manual code review with bug pattern checklist
A documented list of suspected bugs with locations and descriptions, ready for triage.
Cross-reference and prioritize detected bugs
A prioritized, deduplicated list of bugs with severity and confidence ratings, ready for fixing.
Configure a static analysis tool (e.g., ESLint, Pylint, or SonarQube) with rules tailored to your language and project. Run it across the entire codebase to catch syntax errors, style violations, and common anti-patterns. Review the output and filter out false positives to establish a clean baseline.
Why CodeGrip: CodeGrip provides automated code review for bugs and vulnerabilities, code quality tracking, and custom rule configuration, directly matching the need for static analysis and linting.
Execute the existing unit test suite and measure code coverage. Identify untested code paths and any failing tests that indicate bugs. Use coverage reports to pinpoint functions or branches that lack tests, as these are high-risk areas for latent bugs.
Why EvoSuite: EvoSuite specializes in automated test generation and code coverage analysis, directly matching the need for running unit tests with coverage analysis.
Instrument the code with runtime assertion checks (e.g., assert statements, property-based testing) or use a dynamic analysis tool (e.g., Valgrind, AddressSanitizer for C/C++, or a fuzzer). Run the application with representative inputs to detect memory leaks, race conditions, or unexpected crashes. Log all anomalies for later review.
Why Swe-agent: Swe-agent can automatically identify bugs and detect security vulnerabilities, which aligns with dynamic analysis and runtime checks.
Perform a targeted manual review of the codebase, focusing on high-risk areas identified in previous steps (e.g., uncovered code, complex functions). Use a checklist of common bug patterns (off-by-one errors, null pointer dereferences, race conditions, incorrect API usage). Document each suspected bug with its location and a brief description.
Why Cubic AI: Cubic AI reviews pull requests for bugs, security issues, and style violations, and enforces custom coding standards, directly supporting manual code review with a bug pattern checklist.
Merge all findings from static analysis, dynamic analysis, test failures, and manual review into a single list. Deduplicate issues and classify each by severity (critical, major, minor) and confidence (confirmed, suspected). Prioritize bugs that are both high-severity and high-confidence for immediate fixing.
Why CodeGrip: CodeGrip includes code quality tracking and trend analysis, which can help prioritize and track bugs, complementing an issue tracker.
§ Before you start
Teams or solo builders working on development tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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