Overview
As our real estate SaaS product grew, so did our development team. With 18 developers actively building new features, only 4 senior developers were responsible for reviewing every code change before it could be merged.
Code reviews are important for maintaining quality, but they were taking up a large portion of our senior developers' time. Instead of focusing on building new features, they were spending hours reviewing code. This slowed down development and created delays in the release process.
To solve this problem, we built an AI-powered Code Review Assistant that automatically reviews Pull Requests before a senior developer sees them.
The Challenge
Our team was growing quickly, but our code review process wasn't.
Some of the biggest challenges were:
- 18 developers creating Pull Requests every day.
- Only 4 senior developers reviewing all the code.
- Reviews taking longer as the team grew.
- Senior developers spending too much time reviewing instead of developing.
- The same small coding issues appearing again and again.
We looked at several AI code review tools already available in the market. While they offered useful features, they were either too expensive because they charged per developer or they didn't fit the way our team works. We wanted a solution that matched our development process, could grow with our business, and gave us complete control over how reviews were performed.
Our Goal
We wanted to build a tool that would:
- Review every Pull Request automatically.
- Find common coding issues before a senior developer reviews the code.
- Reduce manual review work by 50–60%.
- Work directly with version control.
- Be affordable as our team grows.
- Help senior developers focus on bigger technical decisions instead of routine checks.
The Solution
We built our own AI Code Review Assistant and integrated it with Bitbucket.
Whenever a developer creates or updates a Pull Request, the tool automatically reviews the code and provides feedback within a few minutes.
Instead of waiting for a senior developer, developers receive suggestions immediately and can fix many issues before the final review.
The tool posts comments directly inside the Pull Request, making the review process simple and familiar for the entire team.
Key Features
- Automatic review of every Pull Request.
- Feedback directly inside Bitbucket.
- Identifies common coding mistakes.
- Suggests improvements to make code easier to read and maintain.
- Encourages consistent coding standards across the team.
- Can be customized to match our development guidelines.
- Built to grow with our team without increasing licensing costs.
Technology
The solution is built using modern cloud technologies and AI models, with seamless integration into our existing Bitbucket workflow.
Business Impact
Faster Reviews
Developers receive feedback within minutes instead of waiting for someone to become available.
Better Productivity
Senior developers spend much less time reviewing routine issues and more time building new features and solving complex problems.
Better Code Quality
Many common issues are fixed before the final review, leading to cleaner and more consistent code.
Lower Long-Term Cost
Because the tool is built in-house, we avoid expensive per-user subscription fees and have complete control over future improvements.
Results
- Reduced manual code review effort by 50–60%.
- Faster Pull Request turnaround.
- Better code quality before human review.
- More time for senior developers to focus on high-value work.
- Lower long-term costs compared to third-party solutions.
- A review process that scales as our engineering team grows.
Conclusion
Building our own AI Code Review Assistant has helped us make code reviews faster, smarter, and more consistent.
Rather than replacing senior developers, the tool acts as the first reviewer, catching common issues early and allowing human reviewers to focus on the decisions that matter most.
By creating an in-house solution, we gained a tool that fits our workflow, reduces costs, and can continue to evolve as our business grows.