It's not just another scanner; it understands your code's context, making reviews feel intuitive rather than overwhelming. Now, let's talk features that actually solve real problems. Real-time inline checks kick in with every PR, supporting popular stacks like Rails, Express, Golang, Python, Node.js, Next.js, and JavaScript-more coming soon, I hear.
The contextual security analysis is the star here; it evaluates changes against potential risks, spotting issues like auth flaws or sensitive paths without the noise. Installation? A quick GitHub App setup in under a minute, and it auto-protects all your repos. Reviews wrap up in seconds, boosting merge speeds dramatically.
Plus, it covers key areas: authentication, authorization, code brittleness, and more. In my experience, this has cut our review times from 20 minutes to just 5-pretty game-changing for CI/CD pipelines. Who's this for? Dev teams of all sizes, from solo hackers to enterprise squads in regulated fields like fintech or healthcare.
Startups love it for keeping velocity high without skimping on security; larger orgs use it to scale protections across hundreds of repos. Think use cases like securing microservices deployments or auditing legacy code migrations-I've used similar tools in past gigs, and DryRun fits right into GitHub workflows seamlessly.
What sets it apart from, say, Snyk or SonarQube? Well, the AI-driven context reduces alert fatigue way better-competitors often drown you in noise, but DryRun prioritizes actionable insights. It's lighter on resources too, no heavy agents needed, and that per-repo pricing scales nicely without enterprise bloat.
I was torn between it and a bigger name once, but the speed won me over; no more delayed deploys. Look, security shouldn't slow you down, and DryRun proves that. If you're tired of manual reviews eating your day, install it today-grab that 14-day trial and watch your productivity soar. Trust me, your future self will thank you.