About RMCode
The quality layer for
AI-assisted development
The problem
AI is writing more of the world's software every day. Developers are producing code faster than ever — entire applications in hours, features in minutes. This is genuinely transformative.
But speed created a new bottleneck. The code gets written fast. Teams still have to check whether it's good. One vendor study found AI-generated code had 1.7x more bugs than human-written code in its sample. Security vulnerabilities were reported as nearly 3x more common. Other estimates suggest technical debt may be growing 30-40% faster after AI coding tool adoption.
As code output increases, senior engineers spend more time validating generated changes. Human review remains essential, but it needs better tooling to keep up with AI-speed development.
Our mission
AI shifted the bottleneck from writing code to knowing whether it's good. We're building the quality layer that makes AI-assisted development trustworthy.
Our approach
Writing code and reviewing code are fundamentally different skills. One is generative — you produce something from nothing. The other is adversarial — you look at working code and find what's wrong. AI is extraordinary at the first. It's mediocre at the second — unless you build specifically for it.
That's what RMCode is. Not a linter. Not a style checker. Not a general-purpose chatbot asked to "review this diff." A purpose-built system, refined over 475+ experiments, that understands code beyond the diff — repository structure, dependencies, cross-file patterns — and identifies the bugs that actually ship to production.
In benchmark testing, RMCode Free scores F1=53.0% on the Martian-50 benchmark, measured end-to-end on the deployed service. Official submission is pending. But the metric that matters most is simpler: every finding should be worth your time.
What we believe
AI coding is net positive
More people building software, faster iteration, lower barriers. The goal isn't to slow AI down — it's to make speed sustainable.
Speed without quality is just faster failure
Code that ships fast but breaks in production isn't productive. The developers who thrive will be the ones who ship code they can trust.
Review is a different skill than generation
Asking AI to review its own code is like asking a student to grade their own exam. Purpose-built review catches what general-purpose tools miss.
Every finding should be worth your time
The worst thing a code review tool can do is cry wolf. False positives erode trust. We optimize for signal, not volume.
30 credits/month free. No credit card required.