From Review Bottlenecks to Continuous Quality Gating
Reviewers focus on architecture, not mechanics.
Award-Winning AI Code Review Tools
Why Choose Bonami's AI Code Review Pre-screener
Code review eats 2–4 senior-engineer hours daily. We automate the mechanical 80%.
From Style Comments to Architecture-Level Code Review
Style comments gone — every comment is substantive.
From Security Afterthoughts to Shift-Left Vulnerability Prevention
Security findings land inline, while code is fresh.
Core Capabilities of the AI Code Review Pre-screener
SAST, complexity, coverage, and PR comments.
Complexity scoring and code smell detection.
OWASP Top 10 and CWE Top 25 SAST per diff.
Untested branches flagged before merge.
N+1 queries and O(n²) hot paths flagged.
Inline annotations with risk and fix.
Quality gates block merges past thresholds.
Core Capabilities of the AI Code Review Pre-screener
SAST, complexity, coverage, and PR comments.
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Code Quality & Standards Analysis
Code Quality & Standards Analysis
Complexity scoring and code smell detection.
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SAST Vulnerability Pre-screening
SAST Vulnerability Pre-screening
OWASP Top 10 and CWE Top 25 SAST per diff.
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Test Coverage Gap Detection & Quality
Test Coverage Gap Detection & Quality
Untested branches flagged before merge.
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Performance Anti-pattern Detection
Performance Anti-pattern Detection
N+1 queries and O(n²) hot paths flagged.
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First-Pass Review Comments
First-Pass Review Comments
Inline annotations with risk and fix.
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CI/CD Integration & Quality Gates
CI/CD Integration & Quality Gates
Quality gates block merges past thresholds.
Fix It in Review for 1x — or in Production for 100x.
76% of apps carry vulnerabilities at first production scan — average fix time 205 days (Veracode). The pre-screener strips the mechanical issues consuming 60–80% of review time, making every hour 4–5x more productive.
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Award-Winning AI Development & Consulting
100 Fastest Growth Companies
Global Spring Winner
Top App Development Company
AWS Partner Network
Google Cloud Partner
Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member
Frequently Asked Questions
[ 1 ]
What is AI code review and what does this agent analyse?
Every PR is scanned for quality, security, coverage, and performance gaps.
[ 2 ]
Which programming languages and frameworks does the pre-screener support?
Java, Python, JS/TS, Go, C#, Ruby, PHP, Rust, plus Terraform and Kubernetes.
[ 3 ]
How does the SAST security scanning work and how accurate is it?
AST and taint flow analysis, with false positives typically under 5%.
[ 4 ]
Does the pre-screener replace SonarQube or other existing static analysis tools?
It complements SonarQube, Snyk, and Semgrep — findings arrive in the PR.
[ 5 ]
How are quality gates configured and what happens when a PR fails?
Gates block merge on CVSS 7.0+, credentials, or coverage regressions.
[ 6 ]
How does the pre-screener handle large PRs and monorepo architectures?
Diff-only analysis runs under 60 seconds; monorepos scope to changed modules.
[ 7 ]
How does the AI-generated review summary help human reviewers?
It summarises the change, ranks findings by severity, and rates overall risk.
[ 8 ]
What does implementation look like and how quickly can it run on our repositories?
Live in 1–2 weeks: integrate, baseline scan, then calibrate quality gates.
[ 9 ]
How does this automated code review tool deliver pull request review automation?
It reviews every PR the moment it opens — cutting cycle time by 55%.
[ 10 ]
How is this AI code review software different from a linter or basic code review automation?
Beyond linting: SAST, taint flow, complexity, coverage, and CI/CD gates.
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