A Buyers Guide to AI-powered Code Review Tools in 2025: Keeping pace with AI in software development
AI-powered code reviews are no longer a nice-to-have - they’re table stakes. With 95% of developers relying on AI-assisted tools and a market set to reach $12.8 billion this year, teams that don’t adopt AI-powered code reviews will fall behind.
In this guide, we’ll cover the top features and benefits to look for and give you guidelines on how to get started with AI-powered code reviews today.
For engineering managers and developers alike, the question can’t be “Should we use AI for code review?” anymore. It’s “Which tool should we use, and how do we get the most value from it?”
In this post, we’ll break down:
Traditional code reviews are effective but can be slow. PRs might sit idle while waiting for a reviewer, and bottlenecks often appear at the end of a sprint. AI-powered reviewers get to work immediately — providing feedback within minutes, allowing developers to iterate before human reviewers get involved. After that initial cycle(s), human reviewers get involved to maintain important cross-team engagement and final checks.
There’s no doubt that the introduction of AI-code writing tools has dramatically increased productivity – as far as the volume of code being written. But it also has the potential for generating code that is not so good. The volume of PR’s has increased and the ability to catch all the bugs and issues has diminished. That is where AI-powered code review tools shine the most. They review PR’s immediately and catch bugs, security and performance vulnerabilities, compliance violations, and more. Keep things moving at this new pace, without sacrificing quality.
Humans have varying review styles and levels of strictness. AI applies policies consistently across the entire team — whether that’s coding conventions, security rules, or industry-specific compliance like MISRA C/C++. Plus, AI-powered reviewers are unbiased, patient, and empathetic providing positive explanations, feedback, and guidance for all.
Modern AI tools don’t just leave inline comments — they can generate reports and insights into the team, code and projects like never before available. Plus, release notes, summarize PRs in plain language, and even answer questions like “When did feature X go live?” This bridges the gap between development and management.
For industries like automotive, aerospace, or medical devices, proving compliance is as important as writing good code. AI code review tools can automatically enforce rulesets (e.g., MISRA, CERT, security scans) and produce audit-friendly reports.
Key Features to Look for in an AI Code Review Tool
The best tools integrate deeply with GitHub, GitLab, or Bitbucket to understand the scope of each PR — not just isolated files. They understand what;s important to the team and know what libraries are being utilized, and the spec and scope of projects being developed.
Look for a solution that lets you define your own rules or can choose from pre-built “policy packs” — such as security, performance, or domain-specific coding standards.
A great AI code review tool doesn’t just comment on code — it turns activity into actionable insights for engineering managers: release notes, sprint reviews, OKR mapping, and incident investigations.
The most advanced tools let developers “chat” with the review — asking why a suggestion was made or how to fix an issue, right inside the PR.
Many teams work in polyglot environments. Your AI reviewer should handle multiple languages, from Python and JavaScript to C/C++ and MATLAB-generated code.
Tools that integrate into existing workflows eliminate the need for any training or process re-engineering.
AI models can over-flag issues or miss context, leading to “alert fatigue” among developers. Tools that learn from thumbs-up/down and other user/system feedback reduce noise over time.
Teams accustomed to manual reviews might initially resist AI input. Successful rollouts often involve setting clear expectations: AI is here to assist, not replace, human reviewers.
Reviewing code in the cloud raises questions about data handling. It’s critical to choose a provider with strong security guarantees and certifications.
Korbit stands out because it isn’t just a linting tool with an AI wrapper — it’s a complete developer and manager productivity platform:
AI-powered code review tools aren’t replacing human reviewers — they’re making them more effective. By catching high value issues instantly, providing consistent feedback, and giving managers clear visibility into engineering output, these tools are becoming indispensable.
If you’re looking for an AI-powered code reviewer that can increase productivity, quality and maintain team alignment, Korbit is worth putting at the top of your shortlist. We offer a 14-day Free Trial.