AI Code Review & QA
A reviewer that catches bugs, security issues, and standards violations on every pull request, with grounded comments your engineers trust.
Manual review is a bottleneck, and off-the-shelf bots drown teams in noise that gets muted within a week. arosplatforms builds a code review system tuned to your repositories, conventions, and risk areas, deployed in your CI and owned by you. It reasons over the full diff and surrounding context, flags real defects and security risks, and explains each finding with a suggested fix. We calibrate against your historical bugs and review comments to keep precision high, and humans still own the merge decision. The result is faster reviews without lowering the bar.
We index your repositories, style guides, and past review history to learn your conventions and recurring failure modes.
On each pull request, the reviewer analyzes the diff with surrounding context and runs targeted checks for bugs, security, and standards.
Findings post as inline comments with severity, rationale, and a suggested patch, ranked so the signal stays high.
We tune precision against your historical defects, and engineers keep full control of what merges.
What it does
Context-Aware Review
The reviewer reads the full diff alongside related files and call sites, not just changed lines. It catches issues that line-by-line linters cannot see.
Security Detection
It flags injection risks, unsafe data handling, secrets, and dependency concerns with concrete remediation. Security review happens on every PR, not just at audit time.
Standards Enforcement
Findings reflect your conventions and architecture rules, learned from your codebase and docs. The bot enforces your standards, not a generic checklist.
High-Signal Comments
Each finding carries severity, a clear rationale, and a suggested fix, ranked to suppress noise. Engineers act on comments instead of muting the bot.
Owned In Your CI
Runs inside your pipeline on your code, with nothing leaving your environment. You own the models, prompts, and the evaluation suite.
Engineering teams typically cut review turnaround time by 40 percent and catch a meaningful share of defects before they reach QA or production.
Questions, answered
We calibrate the reviewer against your historical defects and accepted review comments, then rank findings by severity and confidence. Low-value nitpicks are suppressed so engineers trust and act on what surfaces.
No. The reviewer runs inside your CI on your infrastructure, and the models and prompts are yours. Your code never leaves your environment.
No. It handles the repetitive and error-prone checks and surfaces real issues with fixes, but engineers still own the merge decision and the design judgment that machines should not make.
Bring ai code review & qa to your team
Book a free consultation and we'll map the fastest path to production.