Code Review, Rewritten: How mrge Uses AI to Speed Up Development

In a time where the speed of software development is constantly accelerating, code review has become a critical but increasingly painful bottleneck. For developers juggling dozens of tasks and for teams managing ever-growing repositories, the process of peer reviewing code has morphed into a slow, error-prone task—especially with the rise of AI-generated code flooding pull requests (PRs) at scale.

Enter mrge, a London-based startup founded in 2025 by Paul Sanglé-Ferrière and Allis Yao. Backed by Y Combinator’s X25 batch and headquartered in the heart of the UK’s tech scene, mrge is building an AI-powered code review platform aimed at eliminating review delays and improving software quality.

The product’s promise is clear: developers can merge PRs 40% faster and review code 2x more efficiently, thanks to a platform designed for modern engineering workflows.

How Does mrge Use AI to Transform Code Review?

At the core of mrge is an intelligent agent that performs real-time, context-aware code reviews. As soon as a developer opens a pull request, mrge jumps into action:

It analyzes the codebase, learning its unique structure and patterns.
It identifies bugs, suggests fixes, and even flags low-level issues that often get overlooked.
It filters out the noise, allowing developers to focus on architecture, logic, and higher-level design instead of syntax and spacing.

In short, it mimics what an expert reviewer would do—but in seconds, not hours.

What sets mrge apart from other AI tools is its seamless learning capability. Unlike generic models, mrge trains itself on each unique codebase, ensuring its feedback is always contextually relevant.

What Makes the mrge Review Platform Different from Traditional Tools?

Beyond just automation, mrge reimagines how human developers interact with code during review. Traditional code review tools are clunky, overly linear, and often force engineers into mental contortions as they jump between unrelated file changes.

mrge fixes this with:

Intelligent file ordering: Changes are presented in logical flow, not alphabetical chaos.
Visual architecture diagrams: The platform generates high-level overviews of what’s changing.
Keyboard-centric navigation: Power users can blaze through reviews with custom shortcuts.
Stacked PRs: Developers can submit layered changes without waiting for previous PRs to merge.

This isn't just about speed—it's about clarity, focus, and reducing cognitive load.

How Much Time Can Developers Save with mrge?

The efficiency gains are substantial. According to the company, teams using mrge save an average of four hours per developer every week. That’s roughly half a working day reclaimed—time that can now be spent on building new features, improving infrastructure, or simply reducing overtime.

And the benefits go beyond hours saved:

Smaller PRs: Engineers submit more frequent, bite-sized pull requests, reducing merge conflicts.
Faster cycles: Less waiting, more merging.
Fewer bugs: AI review catches what humans miss, increasing software quality.

With endorsements from other Y Combinator founders and fast-moving product teams like Better Auth, Avallon, Marco, and Loma, mrge is quickly becoming the gold standard for review automation in modern engineering orgs.

What Do Early Users Say About mrge?

User testimonials provide powerful validation of mrge’s value. Developers consistently point to the platform’s ability to catch issues that slip through even the most rigorous manual reviews.

“The speed improvements are unreal. mrge's AI catches things we’d normally overlook and helps us ship faster.”
— Bryan Guin, Founder, Avallon

“We use mrge for Better Auth and it’s been so good. We get a lot of PRs and it helps us merge them much faster.”
— Bereket Engida, Founder, Better Auth

“The Linear for pull requests—faster reviews, fewer bugs, and more time to build a high-quality product.”
— Nick Freeman, Founder & CTO, Marco

These statements highlight not just time savings but a measurable improvement in code quality and team morale.

How Does mrge Integrate into Existing Workflows?

Adopting new tools is often a point of friction—but mrge makes the transition seamless. It syncs directly with GitHub in both directions, offering a “set it and forget it” experience.

In addition:

Slack integration ensures developers never miss a review notification.
Pull request inbox centralizes tasks for faster triage.
Stacked PR support simplifies managing complex branches.

In essence, mrge becomes an invisible assistant—working in the background, enhancing productivity without demanding attention.

Is mrge Secure and Private?

Given that mrge analyzes proprietary code, data privacy and security are critical concerns. The founders are well aware of this and have built safeguards into the product from day one:

Zero data retention: Code is reviewed in real-time and then immediately deleted.
No data mining: mrge does not use user code to train external models.
SOC 2 certification: The company is currently pursuing this industry-standard security benchmark.

With these guarantees, development teams can trust mrge to accelerate reviews without compromising IP or privacy.

Why is Now the Right Time for a Tool Like mrge?

The landscape of software development is shifting. The emergence of generative AI means developers are producing more code than ever—but without the ability to properly review it, this acceleration leads to more bugs, regressions, and technical debt.

Meanwhile, engineering teams are under pressure to deliver faster with smaller headcounts. Manual review just can’t keep up.

mrge positions itself as the solution for this new reality. By combining AI-assisted automation with a review interface optimized for human cognition, it helps teams strike the perfect balance between speed and quality.

What’s Next for mrge?

With momentum building and strong endorsements from YC-backed founders, mrge is poised to become the default code review layer for the AI era. As the product matures, we can expect deeper integrations, support for more platforms beyond GitHub, and continued investment in privacy-first AI development.

The company’s long-term vision? To eliminate the friction in code review entirely—so developers can focus on what they do best: building.

Conclusion: Is mrge the Future of Code Review?

All signs point to yes. mrge is not just another dev tool—it’s a reimagining of how we collaborate, review, and improve codebases in the age of AI. By dramatically reducing the time spent on reviews, improving bug detection, and creating a delightful user experience, it is empowering teams to ship better software faster.

For engineering teams overwhelmed by the review backlog, mrge offers relief, speed, and superhuman precision—all in one streamlined platform.

In an industry that never slows down, mrge might just be the performance boost every developer needs.