Best AI Code Review Tools for Python - Page 2

Cubic is an AI-powered code review platform that automatically analyzes pull requests in GitHub to help software teams catch bugs, enforce standards, and ship code faster by reducing manual review bottlenecks. It delivers context-aware feedback seconds after a PR is opened by examining the full repository history and patterns, surfacing inline comments that highlight bugs, anti-patterns, technical debt, and improvement suggestions that human reviewers might miss, and providing one-click fix options for simple issues. Cubic can generate clear PR summaries that explain the intent and impact of changes, intelligently order complex diffs into easier-to-review chunks, and offer a context-aware chat interface that lets developers ask questions or explore the codebase directly within the platform. Teams can define custom review rules and integrate business context from issue trackers like Jira, Linear, or Asana so that code reviews validate acceptance criteria as well as technical quality.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

DryRun Security brings AI Native SAST and Agentic Code Security to your code, so application security and dev teams can stop triaging noise and start fixing real risk. Our Contextual Security Analysis (CSA) engine reasons about code intent, exploitability, and impact to deliver high-signal findings that pattern-matching scanners miss. Use the Code Review Agent for PR comments and checks within moments of a push. Enforce guardrails with Natural Language Code Policies, written in plain English and executed by the Custom Policy Agent on every PR. Run DeepScan Agent for an on-demand full-repo assessment in about an hour, and use Code Insights Agent to see trends and risk across repos.

Baz delivers the context and automation to review, track, and approve code changes with confidence. Baz transforms your code review and merging process by giving instant application insights and suggestions, helping you focus on building and shipping strong software. Baz organizes your pull request into Topics, so you can breeze through reviews with a clear structure. Baz uncovers breaking changes across APIs, endpoints, parameters, and more, analyzing how every piece fits together. Developers can review, comment, and suggest wherever they want. We'll make sure it's fully visible both on GitHub and Baz. The only way to predict the true impact of a code change is through structured impact analysis. Baz integrates AI and your developer tools to analyze your codebase, map dependencies, and provide actionable reviews that ensure your code’s stability. Plan your proposed changes and invite your team to review them. Easily assign relevant reviewers based on past contributions.