Buying guide
How to choose an AI code review tool
There are several AI code review tools on the market today, and all of them promise to automatically review Pull Requests. The difference between them isn't in the promise — it's in concrete technical details that change your team's day-to-day. This page explains the objective criteria worth comparing before choosing any tool, including Akira.
The 6 criteria that actually matter
1. Where the comment shows up. Some tools publish the review as a single, generic comment at the end of the PR; others comment line by line, directly on the diff, the way a human reviewer would. That changes how much the team actually reads and acts on the feedback.
2. Diff size limit per PR. Every AI tool has a maximum amount of code it can analyze at once. Large PRs (refactors, migrations) can exceed that limit and end up without a complete analysis — worth asking about before signing up.
3. The AI model behind the analysis. The language model in use (and whether it changes over time without notice) directly affects review quality and how much you can trust it for the specific technical cases in your stack.
4. Configurable merge blocking. Commenting is one thing; preventing a problematic PR from being merged without review is another. Teams that already use required GitHub Checks tend to prioritize tools that integrate with that flow — see our guide on automatic merge blocking on GitHub.
5. Depth of the security analysis. There's a big difference between “flags generic code smells” and “analyzes real vulnerabilities aligned with the OWASP Top 10”. See our guide on OWASP security analysis in Pull Requests to understand the difference in practice.
6. Per-seat pricing model. Price per active developer, per repository, or per volume of reviewed PRs — each model behaves differently as your team grows. See Akira's plans and pricing as a reference for a per-seat model.
Side-by-side comparisons
We've put together honest comparisons of Akira against the most-searched tools in this market, always based on each competitor's public information: