AI-Powered Pull Request Reviews
ProPR reviews every pull request before your team does, catching the issues that slip through. It reads the context behind a change and remembers your team's review decisions.
01 More code
AI writes more code than ever before.
Every repository, branch and author now opens pull requests faster, and many of them come from a coding assistant.
02 Overload
Your review process can't keep up.
Each of those pull requests waits for a person. The queue in front of your team grows faster than your reviewers can work through it.
03 Risk
Errors slip through.
A reviewer under pressure skims. A column that is one size too small reaches production, and the rollback fails months later.
04 Connection
ProPR connects to your system.
ProPR sits between your repositories and your team. Reviews start on their own, with no pipeline to write or maintain.
Supported platforms 05 Order
Every pull request is pre-reviewed automatically.
ProPR reviews each change before a person opens it and posts its findings as threaded comments where your team already reviews.
How ProPR works 06 Context & memory
ProPR knows your project and does not re-raise what is settled.
A review draws on your code, linked work items, wikis and past reviews. When your team rejects a finding, ProPR remembers and leaves the discussion closed on the next push.
Reviews and thread memory 07 Finding
Your team only reviews what matters.
ProPR verifies a finding against your code before it reaches the pull request, and pins it to the file and line it concerns.
08 Traceable
Every finding is traceable.
For each finding ProPR keeps the linked context, the model that produced it, the execution trace, the file and the pull request.
09 Your control
Your data stays under your control.
ProPR runs in your data center or your cloud, also on an isolated network without internet access. Your code goes only to the destinations you approve.
Restrict where your code goes 10 Your choice
With the AI provider of your choice.
Use the AI account your organisation already has, or your own model. Switching provider takes one setting.
AI providers 11 Transparency
Transparent and measurable.
You see which findings your team acts on and what each review costs. A monthly budget keeps the spend at the figure you set.
Control what a review costs 12 Overview
Everything in view and under your control.
Ordered intake, project memory, verified findings, a full audit trail and your own infrastructure, in one deployment.
Every pull request reviewed before your team sees it.
ProPR · Meister DEV
Autoplay
One Reviewer For Every Repository
Teams rarely live on one platform. ProPR holds every repository to the same review standard, so code quality stops depending on which host a team happened to pick.
- Works on Azure DevOps, GitHub, GitLab, and Forgejo
- Reviews start on their own, with no pipeline to write or maintain
- Findings arrive as threaded comments where your team already reviews
Use The AI You Already Pay For
No new vendor contract, and no per-seat licence on top of your model spend. Point ProPR at the AI account your organisation already has, and change your mind later without reconfiguring anything.
- Bring your own key: every major provider, plus anything you self-host
- Switching provider takes one setting and no review reconfiguration
- Connecting straight to a provider earns caching discounts a gateway loses
No Surprise AI Bills
Set a monthly figure and ProPR holds to it, without anyone supervising. You can see what you have spent against it long before the provider invoice arrives.
- Set a monthly budget ProPR will not exceed
- See what a review costs while it is still this month's problem
- Warnings arrive mid-period, while you can still act on them
It Stops Repeating Itself
The fastest way to lose a team's trust is a bot that re-raises a point they already rejected. ProPR remembers how your team resolved a discussion and leaves it closed on the next push.
- Settled discussions stay settled
- Only changed files are re-reviewed, keeping re-runs cheap
- Teach it your conventions in a file that lives with your code
Finds What One Pass Misses
The findings that matter most are the ones a quick read never surfaces. ProPR can review the risky parts of a change more than once, from a different angle, with a security specialist's brief.
- A dedicated security review on the files that warrant one
- Checks derived from CodeQL, applied where they apply
- Findings verified against your code before they reach the pull request
Ready For Your Security Review
ProPR runs on your infrastructure, sends code only to the destinations you name, and keeps the evidence that it did. That is usually the whole conversation.
- Your code goes to your source-control host and your own AI account
- Name the only AI destinations your organisation permits
- Deployable on an isolated network, with a full audit trail
Your stack
Runs on your stack, not ours
ProPR is a Docker deployment on your own infrastructure. You choose the source-control host and the AI account, and your code travels only between the two.
Source control
- Azure DevOps Services
- Azure DevOps Server
- GitHub Cloud & Enterprise
- GitLab.com & self-managed
- Forgejo
Cloud or self-hosted, including behind your own firewall
AI providers
- Azure OpenAI / AI Foundry
- OpenAI
- Anthropic
- AWS Bedrock
- Google Gemini / Vertex AI
- LiteLLM, OpenRouter & self-hosted models
Bring your own key; every provider works in the free edition
Your infrastructure
- Docker or Azure Container Apps
- PostgreSQL with the pgvector extension
- Your existing metrics, tracing & logging
- Isolated networks with no internet access
Three containers and a database, running wherever you already run things
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Join us in building the next generation of AI-driven tools. Let's create something extraordinary together.