Features Built for Engineering Teams
Everything you need to automate code reviews, improve code quality, and ship faster — without changing your workflow.
AI-Powered Code Reviews
VERDiiiCT leverages the most advanced large language models — Anthropic Claude and OpenAI GPT — to analyze your pull requests with the depth and nuance of an experienced senior engineer.
The AI understands context, follows your code's logic across files, and surfaces real issues: bugs, security vulnerabilities, performance bottlenecks, and style inconsistencies. It doesn't just lint your code — it reviews it.
Choose which AI model your organization uses from the dashboard settings. Both models deliver high-quality, actionable feedback tailored to your codebase.
GitHub & Azure DevOps Integration
Connect your repositories in seconds. VERDiiiCT supports both GitHub and Azure DevOps through secure SCM connections using personal access tokens (PATs).
Once connected, your repositories appear in the dashboard where you can manage webhooks, view review history, and track quality metrics. You can connect multiple providers within the same organization.
The integration is lightweight and non-invasive — VERDiiiCT reads your PR diffs and posts comments, but never modifies your code or repository settings.
Webhook Automation
Zero manual steps. When you open or update a pull request, a webhook fires automatically and triggers the AI review pipeline. There's nothing to click, no commands to run.
VERDiiiCT registers webhooks on your repositories during setup. From that point forward, every PR gets reviewed without any human intervention — the review starts within seconds of the PR being opened.
You can manage webhooks from the dashboard: view their status, re-register them if needed, and see which events they respond to.
Line-Level Comments with Severity
VERDiiiCT doesn't just give you a summary — it leaves precise, line-level comments on the exact lines of code that need attention. Each comment includes a severity level so you can prioritize your fixes.
Severity levels include Error (must fix), Warning (should fix), Info (good to know), and Suggestion (optional improvement). This helps teams quickly triage feedback and focus on what matters most.
Comments are posted directly to your pull request in GitHub or Azure DevOps, so your team can discuss and resolve them in the familiar PR interface.
Configurable Review Tolerance
Not every team has the same standards. VERDiiiCT lets you configure the review tolerance — Low, Medium, or High — to match your engineering culture and quality bar.
A Low tolerance setting means the AI will flag even minor style issues and suggestions. High tolerance focuses only on critical bugs and security concerns. Medium strikes a balance for most teams.
You can change the tolerance at any time from your organization settings. This lets you tighten standards as your team matures or loosen them during rapid prototyping phases.
Team Dashboard & Analytics
The VERDiiiCT dashboard gives engineering leaders a real-time view of code quality across their organization. Track your PR pass rate, verdict distribution, and review trends over time.
See which repositories have the highest and lowest pass rates, identify patterns in rejected PRs, and measure how your team's code quality improves as they adopt AI-powered reviews.
The dashboard is designed for engineering managers and leads who need actionable data without digging through individual PRs. At a glance, you know where your team stands.
Multi-Tenant Team Management
VERDiiiCT is built for teams. Create an organization, invite your team members, and assign roles: Owner, Admin, or Member. Each role has appropriate permissions for managing repositories, settings, and team access.
Organizations are fully isolated — your repositories, reviews, and analytics are private to your team. Multiple organizations can exist independently on the platform.
Inviting team members is simple: send an invite from the dashboard, and they can join with a single click. No complex provisioning or SSO setup required.
Security & Privacy
Your code is treated with the highest level of care. VERDiiiCT uses personal access tokens (PATs) for SCM authentication, and each organization's data is fully isolated from others.
Code diffs are sent to the AI provider (Anthropic or OpenAI) for analysis and are not stored permanently. Reviews and comments are stored in our system for your review history, but the raw code is not retained beyond the review session.
All communication happens over HTTPS, and access tokens are encrypted at rest. VERDiiiCT follows security best practices for SaaS applications handling source code.
Ready to Try It?
Set up in under 5 minutes. Free for all teams, no credit card required.