◈
Critical
Security vulnerabilities or logic errors that can break production or expose data.
◷ Block merge
Services›Code›Deep PR Review
AI-powered. Human-grade.
Deep PR Review
Get deeper, faster, and smarter security & quality feedback on every pull request — before it merges.
The problem
Most PR reviews only scratch the surface.
Manual reviews miss subtle security issues, logic bugs, and architectural problems. Traditional bots flag style nits but lack context. The result? Critical issues slip into production while developers waste time on noise.
One operating picture
One review. Full context.
MadStack reads the entire change, understands intent, and surfaces only the issues that actually matter — security, correctness, and maintainability.
Understand the change
We analyze the full diff + surrounding code to grasp intent, not just the lines that changed.
Catch real risks
Detect security flaws, logic errors, and edge cases that typical linters and bots miss.
Actionable feedback
Every finding comes with clear explanation and suggested fix — so developers can act fast.
✦ What gets detected
Findings, ranked by what matters.
Prioritized by severity, blast radius, and confidence — so reviewers focus on the issues that truly need attention.
!
High
Potential bugs, missing edge cases, or significant maintainability risks.
◷ Review before merge
↗
Medium
Code quality issues, minor improvements, or style concerns with low impact.
◷ Optional improvements
Sample finding
Evidence your team can act on.
Live output from MadStack Deep PR Review — exact location, issue, and recommended fix.
File
login.ts
Issue
Insecure Direct Object Reference
src/api/auth/login.ts
{
"file": "login.ts",
"line": 47,
"issue_type": "Insecure Direct Object Reference",
"severity": "High",
"action": "Validate user ownership before returning resource"
}
FAQ
Questions, answered.
Most bots only check style and simple rules. Deep PR Review understands context, detects real security and logic issues, and explains why something is a problem.
Yes. We integrate natively with GitHub, GitLab, and Bitbucket. Reviews appear directly on the pull request.
No. Reviews complete in seconds to a couple of minutes, and findings are prioritized so teams only focus on what matters.
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