Code Review
Architecture, data models, dependencies, duplicated logic, unfinished paths, tests, and security-sensitive areas.
AI Code Review
Find out whether AI-generated code is usable, risky, or quietly unfinished.
AI can produce useful software quickly, but generated or heavily AI-modified code still needs engineering judgment before important systems depend on it. HerbDev reviews both the code and the operational system around it.
Request an AI Code ReviewCommon AI Code Risks
The problem is often not one bad file. It is missing engineering discipline.
Compile without being maintainable
Contain duplicated logic
Hide security problems
Use inappropriate dependencies
Lack error handling
Invent APIs or methods
Mix architecture patterns
Omit required platform behavior
Produce weak tests
Leave unfinished placeholder code
Create inconsistent data models
Expose secrets
Fail during production deployment
Operational Review
Environment configuration, deployment assumptions, secrets handling, logs, build steps, database setup, and rollback risk.
Plain-English Findings
A prioritized explanation of what is safe, what is fragile, what should be repaired, and what may need to be rebuilt.
This is a software review, not a model review.
The focus is software substantially created or changed with coding assistants: its architecture, data flow, dependencies, platform behavior, error handling, configuration, tests, build path, and maintainability.
What the review supports
Findings distinguish immediate defects from structural risk, identify unreviewed assumptions, and prioritize what should be corrected before release or broader production-readiness work.
Has anyone fully engineered and reviewed the generated code?
Share the repository context, intended behavior, known failures, and the decisions the review needs to support.
Request an AI Code ReviewManage browser learning data
“Remove my test data” clears all AI 101 and ML 101 scores, reviews, project checklists and rating selections, plus saved vocabulary and recent history in this browser. Test entries cannot be separated from other learning progress. Cookie preferences, security protections, submitted feedback, contact emails and past analytics are kept.