Find AI ListFind AI List
HomeBrowseAI NewsMatch Me 🪄
Submit ToolSubmitLogin

Find AI List

Discover, compare, and keep up with the latest AI tools, models, and news.

Explore

  • Home
  • Discover Stacks
  • AI News
  • Compare

Contribute

  • Submit a Tool
  • Edit your Tool
  • Request a Tool

Newsletter

Get concise updates. Unsubscribe any time.

© 2026 Find AI List. All rights reserved.

PrivacyTermsRefund PolicyAbout
Home
Development & Code
AI Code Reviewer by Stepsize
AI Code Reviewer by Stepsize logo
Development & Code

AI Code Reviewer by Stepsize

AI Code Reviewer by Stepsize is an automated code review tool that integrates directly into developer workflows, primarily within GitHub pull requests. It uses large language models to analyze code changes, providing instant, detailed feedback on potential bugs, security vulnerabilities, code smells, and style inconsistencies. The tool is designed for software engineering teams seeking to accelerate their development cycles by reducing the time spent on manual code reviews and catching issues early. It acts as a virtual senior engineer, offering explanations and suggestions for improvements, thus helping maintain code quality and knowledge sharing across teams of all sizes. By focusing on actionable insights and seamless integration, it aims to complement human reviewers rather than replace them, fostering a culture of continuous improvement and learning.

Visit Website

📊 At a Glance

Pricing
Freemium
Reviews
No reviews
Traffic
N/A
Engagement
0🔥
0👁️
Categories
Development & Code
Code Review & Quality

Key Features

Automated Pull Request Reviews

The tool automatically analyzes GitHub pull requests, scanning code diffs for issues and posting review comments directly in the PR thread.

Context-Aware Analysis

Leverages LLMs to understand code context, including related files and commit history, to provide more relevant and accurate suggestions.

Security Vulnerability Detection

Identifies potential security flaws such as injection risks, insecure dependencies, and hard-coded secrets within the code changes.

Code Quality & Best Practices

Flags code smells, anti-patterns, performance bottlenecks, and deviations from established style guides or best practices.

Explanatory Feedback

Doesn't just point out problems; provides detailed explanations of why something might be an issue and suggests concrete fixes or alternatives.

Customizable Review Rules

Allows teams to configure the AI's focus, severity levels, and ignore patterns to align with their specific project requirements and coding standards.

Pricing

Free

$0
  • ✓Basic AI code reviews for pull requests.
  • ✓Limited number of reviews or credits per month (exact quota not publicly specified).
  • ✓Integration with GitHub.
  • ✓Community support.

Team

Usage-based via API or contact sales
  • ✓Higher volume of AI code reviews compared to Free tier.
  • ✓Priority support.
  • ✓Advanced configuration options for review rules.
  • ✓Team management features and dashboard analytics.

Enterprise

Contact sales
  • ✓Custom credit allowances and pricing.
  • ✓Single Sign-On (SSO/SAML).
  • ✓Dedicated support and SLAs.
  • ✓Enhanced security and compliance controls.
  • ✓Possibility of on-premises or private cloud deployment.

Use Cases

1

Accelerating Pull Request Workflow for Fast-Moving Teams

Development teams in startups or agile environments use AI Code Reviewer to get immediate feedback on PRs, even outside of core working hours. This reduces the 'wait time' for a human reviewer to become available, allowing developers to iterate and merge faster. The result is a more fluid development process and increased deployment frequency without sacrificing code quality.

2

Onboarding and Mentoring Junior Developers

Senior engineers and team leads integrate the tool to provide consistent, instant feedback to junior developers on every pull request. The AI acts as an always-available mentor, explaining best practices and common pitfalls. This accelerates the learning curve, ensures code quality from new team members, and frees up senior developers for more complex architectural reviews.

3

Enforcing Code Standards in Distributed Teams

Organizations with remote or globally distributed engineering teams use the tool to maintain a uniform code quality bar across all contributors. It automatically checks for adherence to agreed-upon style guides and architectural patterns. This creates a consistent codebase, reduces friction in reviews, and ensures everyone is aligned regardless of location or time zone.

4

Proactive Security Shifting Left

Security-conscious teams integrate AI Code Reviewer into their CI/CD pipeline to catch common security vulnerabilities at the earliest possible stage—during code commit. It scans for issues like SQL injection, XSS, or exposed secrets before the code even reaches a dedicated security scan. This 'shift-left' approach reduces remediation costs and builds a stronger security culture among developers.

5

Legacy Codebase Refactoring and Modernization

Teams tasked with maintaining or refactoring large legacy systems use the tool to analyze changes made during modernization efforts. The AI helps identify new code that inadvertently replicates old anti-patterns or introduces inconsistencies. It provides guidance on modern best practices, aiding in the incremental improvement of the codebase's health and maintainability.

How to Use

  1. Step 1: Sign up for an account on the Stepsize website and navigate to the AI Code Reviewer product page to begin setup.
  2. Step 2: Install the Stepsize GitHub App from the GitHub Marketplace, granting it permissions to access the repositories where you want to enable AI code reviews.
  3. Step 3: Configure the tool by selecting which repositories to enable, setting review rules (like which branches or PR types to analyze), and choosing the AI model preferences if options are available.
  4. Step 4: Once configured, the AI Code Reviewer automatically analyzes new pull requests. It posts comments directly on the PR diff, highlighting issues and suggestions.
  5. Step 5: Review the AI-generated comments in the GitHub pull request interface. Developers can engage with the feedback, ask for clarifications, or apply suggested changes directly.
  6. Step 6: Integrate the tool into your team's CI/CD pipeline by setting it as a required status check for pull requests, ensuring all code passes AI review before merging.
  7. Step 7: Use the Stepsize dashboard or Slack integration to monitor review activity, track metrics on code quality improvements, and manage team settings.
  8. Step 8: For advanced use, configure custom rules or prompts to tailor the AI's focus to your team's specific coding standards, security policies, or architectural patterns.

Reviews & Ratings

No reviews yet

Sign in to leave a review

Alternatives

10web AI Builder logo

10web AI Builder

10web AI Builder is an AI-powered platform designed to streamline website creation and management for WordPress users. It leverages artificial intelligence to generate complete websites, including content, design, and layout, based on simple text prompts. The tool integrates managed hosting, security, and performance optimization, offering an all-in-one solution for building and maintaining websites without coding expertise. Key features include a drag-and-drop editor, AI content assistant, SEO tools, and e-commerce support via WooCommerce. It caters to businesses, freelancers, and individuals seeking to establish an online presence efficiently, combining user-friendly interfaces with advanced capabilities for professional web development.

0
0
Development & Code
Specialized IDEs
Freemium
View Details
1998 Cam logo

1998 Cam

1998 Cam is an AI-powered photo editing and enhancement tool that specializes in transforming modern digital photos into authentic-looking vintage images reminiscent of late 1990s photography. The tool leverages advanced artificial intelligence algorithms to analyze and modify various photographic elements including color grading, grain structure, lighting characteristics, and image artifacts to recreate the distinctive aesthetic of photos taken with 1998-era cameras. Users can upload contemporary digital photos and apply sophisticated filters that simulate the limitations and qualities of older film cameras, digital point-and-shoots, and early mobile phone cameras from that era. The platform serves photographers, social media content creators, nostalgia enthusiasts, and digital artists who want to achieve authentic retro aesthetics without needing physical vintage equipment or extensive photo editing expertise. By analyzing millions of reference images from the late 1990s, the AI understands subtle characteristics like specific color shifts, contrast profiles, and noise patterns that defined photography during that period, allowing for transformations that go beyond simple filters to create genuinely period-accurate images.

0
0
Development & Code
Code Editors
Freemium
View Details
a-color-story logo

a-color-story

A Color Story is a comprehensive photo editing application designed for mobile devices, offering an extensive library of filters, color adjustments, and editing tools to enhance visual content. It enables users to achieve professional-grade color grading with intuitive controls, making it ideal for social media creators, photographers, and hobbyists. The app features custom filter creation, non-destructive editing, and seamless integration with platforms like Instagram and Facebook. With a focus on vibrant colors and creative effects, A Color Story transforms ordinary images into stunning art. It supports various file formats and operates on a freemium model, providing both free and subscription-based access to advanced features for unlimited creativity.

0
0
Development & Code
Mobile IDEs
Freemium
View Details
Visit Website

At a Glance

Pricing Model
Freemium
Visit Website