We support 15+ languagues - use your own LLM for analysis and get 80% faster UAT cycle. Trusted by enterprise clients and we already outclass our competitors in review depth and providing insights.
It is impressive to learn about Sniffr.ai, which appears to be transforming the approach to code reviews by addressing aspects such as quality, security, and requirement validation. The inclusion of inline fixes and a DORA dashboard seems highly beneficial for enhancing engineering efficiency. I look forward to observing its future developments.
Sniffr.ai has become a welcomed part of our workflow — strong review depth, broad language support, and meaningful insights beyond just “find the bug”. Highly recommend giving it a spin if you want to lift your code-quality game.
Good summary. What impressed us most was the requirement-level checks and the clarity of the inline explanations. It catches more than traditional linters miss, especially around logic and intent. If anyone’s curious about how it works in practice, happy to share our experience.
A code review tool that validate your code against coding standards, security , perfromance and even ensuring your requirement coverage before merge.
Detailed review, Inline Posting, Quick Fixes,DORA metrics dashbaord for engineering health.
We support 15+ languagues - use your own LLM for analysis and get 80% faster UAT cycle. Trusted by enterprise clients and we already outclass our competitors in review depth and providing insights.
Try Sniffr.ai now
It is impressive to learn about Sniffr.ai, which appears to be transforming the approach to code reviews by addressing aspects such as quality, security, and requirement validation. The inclusion of inline fixes and a DORA dashboard seems highly beneficial for enhancing engineering efficiency. I look forward to observing its future developments.
Sniffr.ai has become a welcomed part of our workflow — strong review depth, broad language support, and meaningful insights beyond just “find the bug”. Highly recommend giving it a spin if you want to lift your code-quality game.
Good summary. What impressed us most was the requirement-level checks and the clarity of the inline explanations. It catches more than traditional linters miss, especially around logic and intent. If anyone’s curious about how it works in practice, happy to share our experience.