AI/ML$20K-100K MRRHigh competition3-6 Monthstrending

ReviewBot

AI code reviewer that catches bugs, not just style issues.

● The Problem

Code review is a bottleneck. Senior engineers spend hours reviewing PRs, mostly catching the same categories of bugs. Existing linters check syntax and style but miss logic errors, security issues, and performance problems.

● The Solution

A GitHub bot that reviews PRs using LLMs trained on your codebase patterns. It catches null pointer risks, SQL injection, N+1 queries, and logic errors. Not a replacement for human review, but a first pass that catches 40% of issues.

Key Signals

MRR Potential

$20K-100K

Competition

High

Build Time

3-6 Months

Search Trend

rising

Market Timing

AI coding tools are hot. Code review is the natural next step after code generation.

MVP Feature List

1GitHub App
2PR comment suggestions
3Security vulnerability detection
4Custom rule configuration
5Team-level review dashboard

Suggested Tech Stack

PythonGitHub APIAnthropic APIPostgreSQLRedis

Build It with AI

Copy a prompt into your favorite AI code generator to start building ReviewBot in minutes.

Replit Agent

Full-stack MVP app

Build a full-stack MVP for "ReviewBot". PRODUCT AI code reviewer that catches bugs, not just style issues.

Bolt.new

Next.js prototype

Create a working prototype of "ReviewBot". OVERVIEW AI code reviewer that catches bugs, not just style issues.

v0 by Vercel

Marketing landing page

Design a high-converting marketing landing page for "ReviewBot". PRODUCT ReviewBot: AI code reviewer that catches bugs, not just style issues.

Go-to-Market Strategy

Free for open-source repos. Target teams already using GitHub Copilot who want the review side of AI coding. Write about "AI code review ROI" showing hours saved per developer per week.

Target Audience

Engineering ManagersSenior DevelopersDevOps Teams

Monetization

Per-Seat

Competitive Landscape

CodeRabbit and Sourcery are early movers. GitHub Copilot added code review in preview. The market is growing fast but no clear winner yet. Differentiate on accuracy and low noise.