
CodeProt
CodeProt is an AI code review platform connected to GitHub, GitLab and self-hosted GitLab. It reviews pull requests automatically, scans entire repositories for vulnerabilities and bugs, and enforces custom quality rules across development teams of any size.
What is CodeProt?
CodeProt is an AI code review platform that plugs into a team's version control system. Its terms describe it as a tool offering insightful, line-by-line feedback on code changes, suggesting improvements and corrections; its own comparison page is more ambitious, positioning it as the team's quality gatekeeper, providing not just code review but precise quality governance, explicitly set against LLM-powered IDEs (an umpire rather than a player) and against CodeRabbit, which it judges noisy and short on governance.
The product rests on four blocks. Pull request review analyzes each PR for quality, security vulnerabilities, performance and test coverage, and can also write the title, change type, summary and labels. Reviews run through a multi-agent mechanism working several dimensions in parallel with cross-validation, and read the diff together with its context rather than the changed lines alone; suggestions stay inside the modified scope and arrive as a directly submittable patch. Repository scanning adds full static analysis, scheduled daily, weekly or on a custom rhythm, running language-specific linters and SAST tools: ESLint and Stylelint, Pylint and Checkov, PMD, PHPCS, Cppcheck, Scalastyle, HTMLHint, ShellCheck. Pre-commit review happens in the IDE through an MCP server exposing four tools to MCP-compatible editors such as Cursor. Rule governance ties it together: rules and thresholds inherited across organization, repository and branch, merge blocking against a baseline, exemptions submitted for approval, and an audit trail.
It connects to GitHub (OAuth plus a GitHub App), GitLab.com (OAuth) and self-hosted GitLab (instance URL plus an administrator personal access token). Announced language coverage includes Vue, TypeScript, Python, Java, C#, C++, C, Go, Rust, Ruby, PHP and Swift. Findings land in a dashboard with summary cards, PR progress cards and recently completed reviews, filterable by repository and date range, and can be pushed to Jira, Linear or Leiga or announced on Slack and Microsoft Teams.
The headline numbers — 94% accuracy on critical issues, 87% less noise, 3.2x more actionable insights per comment, 60% less review time, and a 4.8/5 rating from 150 reviews — are published by CodeProt itself, with no method and no independent source; the homepage testimonials and case studies name no real company.
What it does
- Review pull requests automatically for code quality, security vulnerabilities, performance, test coverage and review effort
- Scan an entire repository with static analysis to surface vulnerabilities, bugs, duplication and architectural debt
- Offer one-click code suggestions delivered as a patch limited to the changed diff
- Generate pull request titles, change types, summaries and labels without human input
- Review local changes inside an MCP-compatible IDE before the commit is even made
- Create and track Jira, Linear or Leiga issues straight from suggestions and scan results
- Enforce review rules written in plain language at organization, repository or branch level, with blocking thresholds and traceable exemptions
When to use CodeProt / When not to
A quick filter to help you decide if CodeProt is the right fit.
When to use CodeProt
- Solo developers and students starting with AI-assisted code review, who can stay on the permanently free plan
- Professional developers and small teams on early-stage or service projects, who need unlimited pull request reviews for a low monthly fee
- Engineering managers and tech leads of growing teams looking for advanced code quality metrics and dashboard reporting
- CTOs, VPs of Engineering and DevSecOps leads who need rule governance, blocking merge thresholds and an on-premise option
- Teams working on a self-hosted GitLab instance, which CodeProt supports alongside GitHub and GitLab.com
When not to use CodeProt
- Teams on Bitbucket, Azure DevOps, SVN or Mercurial: only GitHub and GitLab are supported, with more platforms merely announced as future work
- Anyone expecting whole-repository static analysis at no cost, since repository scanning is a premium feature limited to paid subscriptions
- High-volume open source maintainers who would exceed the free plan's ceiling of 50 pull requests per month
- Buyers whose procurement requires documented GDPR compliance, a data processing agreement or named hosting locations, none of which the site provides
- Users looking for a mobile app, a browser extension, a non-English interface, or review of design, documents or data rather than code
How to use CodeProt
A typical end-to-end flow, from setup to results.
- Sign in with GitHub or GitLab through OAuth; for a self-hosted GitLab instance, first create an administrator personal access token with the api, read_repository, read_user and email scopes, then supply the instance URL and the token at first login
- On GitHub, install the CodeProt GitHub App, choose the organization and select the repositories to add
- Use the Sync Repositories button at the top right of the repositories page to refresh the list from GitHub or GitLab
- Open the settings icon next to a repository and switch on Auto Review, Auto Describe and Code Suggestions
- Set languages and write your own checks in the Language Settings and Code Check Rules tabs, in plain language
- Connect issue tracking and notifications in the Integrations settings: Jira (base URL, email, API token), Linear (API key), Leiga (client ID and secret) and Slack via OAuth, choosing channels and trigger events
- Submit a first pull or merge request and receive the review comments automatically
- Launch a repository scan from the repository list, approve it in the authorization dialog, then filter the results and read the AI suggestions (2 to 5 minutes under 1,000 files, 15 to 30 minutes above 5,000)
- Create an MCP application in the user settings to obtain an AppID and secret, then configure your MCP-compatible IDE to review local changes before committing
- Follow quality trends in the dashboard and turn findings into Jira, Linear or Leiga issues
Pros & Cons
Pros
- Permanently free plan with unlimited repositories and 50 pull requests per month, plus a 14-day trial on Starter and Pro
- Low paid entry point at 15 USD per month, or 144 USD per year
- Source code is never stored permanently: read-only access and an isolated scan environment destroyed after analysis, with TLS 1.3 in transit and encryption at rest
- Self-hosted GitLab is covered, which the publisher's own comparison table presents as uncommon among competitors
- Pre-commit review inside the IDE through the MCP server, before a pull request even exists
- Review rules can be written in natural language and governed across organization, repository and branch, with approved exemptions and traceability
- Native issue tracking integrations (Jira, Linear, Leiga) with one-click issue creation and follow-up through to resolution
Cons
- The GDPR is never mentioned anywhere on the site, although the product is sold to development teams that include European ones
- No certification is displayed (no SOC 2, no ISO 27001, no HIPAA) and no data processing agreement is offered, while the Enterprise plan is sold on enterprise-grade security and compliance
- No hosting country or region is named: the privacy policy says only "secure data centers" and describes international transfers in generic terms
- Nothing is published about training models on customer data and no opt-out exists; the third-party AI service that generates the suggestions is never named
- No postal address and no legal entity: the terms and privacy policy point to a "CodeProt Legal Department" and a "CodeProt Privacy Department", and a single address, support@codeprot.com, answers for support, legal, privacy, the DPO and security incidents
- Marketing figures cannot be verified: 94%, 87%, 3.2x and a self-declared 4.8/5 from 150 reviews, alongside anonymized case studies and testimonials naming no company
- Only GitHub and GitLab are supported, repository scanning is reserved for paid plans, and the Enterprise price is not public
Pricing & Plans
A permanently free plan is available at no charge. The lowest paid tier is Starter at 15.00 USD per month, or 144.00 USD per year, with a 14-day free trial offered on the Starter and Pro plans. Billing is tiered according to the number of developers and processed by Stripe. Fees are non-refundable except where the law requires otherwise, and price changes are subject to 30 days' notice.
- Free — 0 USD — unlimited repositories
- basic summaries for up to 50 pull requests per month
- community support
- no static analysis
- no MCP server
- no issue tracking integrations
- Starter — 15 USD per month or 144 USD per year
- marked as the popular plan
- 14-day trial — everything in Free plus linter and SAST support
- unlimited pull requests
- unlimited custom rules
- advanced dashboard reports
- Jira
- Linear and Leiga integrations
- Pro — 30 USD per month or 288 USD per year
- 14-day trial — everything in Starter plus AI suggestions on static scan results and priority support
- Enterprise — price on request — everything in Pro plus an on-premise deployment option and a dedicated account manager
- no free trial
- the advanced model is prioritized
- if its quota is temporarily exhausted the system falls back to the standard model and
- in rare cases
- returns only a summary
- with automatic restoration or earlier restoration on request to support@codeprot.com
Data, GDPR & hosting
A consolidated view of how CodeProt handles your data.
GDPR overview
The site never mentions the GDPR. Across every page collected — terms, privacy policy, support and pricing — there is no occurrence of "GDPR" or "General Data Protection Regulation", no legal basis for processing, no Article 27 EU representative, no standard contractual clauses and no data processing agreement. What stands in its place is thinner. A Data Protection Officer is designated in the privacy policy at support@codeprot.com, the same address as the Privacy Officer and general support. The policy grants rights that overlap the European text (access, correction, deletion, portability, restriction) without ever tying them to it. Section 9 says servers sit in "secure data centers" and that data may be transferred and processed outside your country, naming no country. Governing law is the Federal Arbitration Act, US federal law and California state law.
Who owns the data?
Neither the terms nor the privacy policy claim ownership of your code. Accounts are created by connecting a GitHub or GitLab account: you authorize read-only access on your behalf and warrant you hold the rights to grant it. The publisher states it does not store source code permanently — analysis runs in an isolated environment destroyed afterwards, and only structured results are kept (file names, line numbers, vulnerability locations, recommendations, metrics). It does not sell, trade or transfer source code or personal information; sharing is limited to Stripe, cloud infrastructure providers, Slack, GitHub/GitLab, legal obligations and a business transfer. Issue details, never source code, go to an unnamed third-party AI service.
Reuse rights
Nothing in the terms restricts what the customer does with the output. Scan results, suggestions and reports exist for your own use: opening Jira, Linear or Leiga issues, reporting to stakeholders and tracking resolution. The privacy policy adds explicit rights to access, correct, delete, export ("Export your scan results and repository settings") and restrict processing, plus control over which repositories are authorized, revocation of access at any time, an access history, and management of Slack and Microsoft Teams notifications. The counterpart is responsibility: suggestions are supplied as-is, and the terms make you responsible for testing and validating every code change. Acceptable use forbids breaking the law, hateful content, malware, fraud, privacy violations and scraping the service itself.
Data retention & training
Hosting summary
CodeProt names no hosting country. The privacy policy states only that its servers are located in "secure data centers" and that personal information may be transferred to and processed in countries other than your own, with a general commitment that such transfers comply with applicable data protection laws. No region, no cloud provider and no data residency option is disclosed; section 6.1 refers to cloud infrastructure providers without identifying them, and no European region is offered. What is documented is the handling rather than the location: analysis runs in isolated containers destroyed after each scan, traffic is protected by TLS 1.3, data at rest is encrypted with standard encryption, and access tokens are stored encrypted. On the legal side, the terms place the contract under the law of the State of California. As an indication only, the public website resolves to 34.54.94.124, an anycast address announced by Google LLC (AS396982) and geolocated in the United States — that describes the marketing site, not necessarily where customer data is processed.
Things to keep in mind
Risks and trade-offs to weigh before adopting CodeProt.
- CodeProt receives read access to entire repositories through OAuth; the exposure depends on the scope you grant, repository by repository, and it is easy to authorize more than is needed
- A self-hosted GitLab instance requires an administrator personal access token carrying the api scope — a broad privilege handed to a third party
- Issue details, and therefore fragments of code context, are sent to an unnamed third-party AI service, so its jurisdiction and its policies cannot be assessed
- Accepting one-click patches without reading them quietly replaces human review and erodes the very skill growth the publisher claims the tool delivers
- Suggestions are provided as-is: the terms state they must be reviewed by qualified developers and that testing and validating every change remains your responsibility
- No hosting country, no GDPR mention, no data processing agreement, no postal address and no identified legal entity: recourse in a dispute would be difficult, and a single contact address also handles security incidents
- The advertised performance figures (94%, 87%, 3.2x) and the 4.8/5 rating are self-declared with no published method, and the free plan's ceiling of 50 pull requests per month can create a false sense of continuous coverage
Setup & Integrations
Technical difficulty
Low for most users. On GitHub, an OAuth sign-in followed by installing the GitHub App and picking repositories takes a few minutes with no technical configuration; GitLab.com needs OAuth alone, and the site promises setup "in minutes". Enabling reviews is a matter of checkboxes per repository, and review rules are written in plain language rather than code. Two paths ask more: a self-hosted GitLab instance requires an administrator personal access token with four scopes, and the MCP server requires creating an application, then editing the IDE configuration file. Nothing is installed locally.
Deployment
Integrations
Supported languages
Behind CodeProt
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement CodeProt.
Frequently asked questions
What is CodeProt?
Which version control systems does it support?
Which programming languages are covered?
Is my source code stored?
How long is my data kept?
Is there a free plan and a free trial?
How does billing work and what does it cost?
Can I use CodeProt inside my IDE?
Does the site address the GDPR?
How long does a repository scan take?
Should you pick CodeProt?
CodeProt is unusually complete for a product this young: pull request review, whole-repository scanning, pre-commit review in the IDE through an MCP server, plain-language rule governance and native Jira, Linear and Leiga integrations, all reachable from a readable, low price ladder — free, 15 USD, 30 USD, then Enterprise on request, with a 14-day trial on the paid tiers. Its claimed differentiator is not maximum coverage but noise reduction: fewer and better comments, and merge gates a team can actually govern.
The weak spot is compliance documentation. The GDPR is never mentioned, no certification is displayed, no data processing agreement is offered, no hosting country or region is named, no postal address or legal entity is published, and one email address, support@codeprot.com, answers for support, legal, privacy, the Data Protection Officer and security incidents. For a European team or any enterprise buyer running a vendor review, that list is likely to be a blocker before the product itself is judged.
Youth explains part of it. The domain was registered on 21 May 2025 and first archived on 10 July 2025, and residual inconsistencies remain visible: structured data still advertises a Professional plan at 19 USD while the live pricing configuration shows 15 and 30 USD, a 2023 publication date sits beside a 2025 founding date, and robots.txt points at a localhost sitemap. The headline figures — 94% accuracy, 87% less noise, 3.2x, 60% less review time and 4.8/5 — are self-declared, backed by anonymized case studies.
The wider picture is a Chinese registrar (Alibaba Cloud / HiChina), United States hosting on Google Cloud, California governing law and displayed partnerships with Leiga and Docuopia. Worth trying on the free plan; worth questioning before signing.
- Choosing a selection results in a full page refresh.
- Opens in a new window.