Code Review Assistant
Catch bugs before they hit production
Automatically review pull request diffs for bugs, security vulnerabilities, performance issues, and style violations before human reviewers engage. Surfaces the critical issues that most often get missed in time-pressured manual reviews.
Claude 3.5 Sonnet
for 1,000K tokens/month · 65% input / 35% output
WHY THIS MODEL
Claude 3.5 Sonnet excels at understanding code structure and generating maintainable, well-commented code. Its strong benchmark scores in SWE-bench and HumanEval reflect real-world debugging and architecture capability that makes it the standout choice for developer tooling.
ALTERNATIVE MODELS
IMPLEMENTATION TIPS
- 1
Send only the diff, not the entire file: prefix with enough surrounding context (10–20 lines) to understand intent, but avoid bloating the prompt with unchanged code that adds cost without value.
- 2
Define a severity taxonomy in your system prompt (Critical/High/Medium/Low) and instruct the model to output only Critical and High findings — this prevents alert fatigue from trivial style comments.
- 3
Chain the review with a second pass asking the model to suggest specific code fixes for every Critical issue it found — inline suggestions close the loop from finding to resolution.