AI Code Review That Checks Its Own Work
Most AI review tools give you a single model's opinion and leave you to judge whether it is right. CodeSightAI runs your code through one model, then hands that review to a second independent model that confirms, corrects or extends it. You see which findings survived the second pass.
Why a single AI reviewer is not enough
A language model reviewing code is confident whether or not it is correct. That produces two failure modes teams feel immediately: noisy false positives that train reviewers to ignore the bot, and quiet misses on the issues that actually matter.
Adding a second, independent reviewer changes the economics. A finding that two different models describe the same way is worth reading first. A finding one model raises and the other cannot justify is worth deprioritising.
How the review runs
- Paste code in the free analyzer or connect a GitHub repository.
- Reviewer 1 reads the change and reports bugs, security problems and maintainability issues.
- Reviewer 2 audits that review against the same code, confirms what holds up and adds what was missed.
- You get a ranked list of findings with before/after fix suggestions.
What the reviews look for
- Authentication and authorization mistakes, including privilege escalation through unchecked request fields.
- Injection, unsafe input handling and secrets committed into source.
- Error handling that swallows failures or leaks internal detail.
- Database access patterns that bypass row-level security.
- Performance traps such as unbounded queries and N+1 access.
Fits the workflow you already have
CodeSightAI connects to GitHub, reviews pull requests as they open, and posts its summary back to the pull request. Suggested fixes can be committed to the branch instead of copied by hand.
There is nothing to install locally and no change to how your team merges code.
Frequently asked questions
Which models perform the review?
Reviews run through two independent frontier models in sequence, with automatic failover if one provider is unavailable. The second model always sees the first review before adding its own.
Does AI review replace human reviewers?
No. It removes the mechanical pass — the security, correctness and consistency checks a human should not have to do manually — so reviewers can spend their attention on design and intent.
Is my source code retained?
Code is sent to our backend and the AI providers only to generate the review, and is not used to train models.
Can I try it without signing up?
Yes. The free analyzer on the homepage reviews pasted code without an account.
Free plan available. No credit card required.