Lepton AI
Build and deploy high-performance AI applications at scale with zero infrastructure management.

Accelerate delivery and maintain code quality with an integrated, AI-powered DevSecOps code review workflow.
GitLab Code Review is a cornerstone of the GitLab DevSecOps platform, engineered as a single application to eliminate the friction between code creation and deployment. In the 2026 landscape, the technical architecture has evolved to center around 'GitLab Duo,' an AI-powered suite that provides automated code explanations, impact analysis, and vulnerability remediation suggestions within the Merge Request (MR) interface. Its architecture leverages a unified data model, ensuring that security findings (SAST/DAST), performance metrics, and compliance checks are surfaced directly in the review thread. This eliminates context switching between third-party security tools and the repository. GitLab’s market position in 2026 is defined by its 'Shift Left' supremacy, where code reviews are no longer just about syntax and logic, but act as a centralized gate for governance and security. The platform utilizes a sophisticated Ruby on Rails backend with Gitaly for high-performance Git operations and a Vue.js frontend to provide real-time collaborative features. For enterprise environments, GitLab offers deep integration with LDAP, SAML, and granular protected branch rules, making it the primary choice for regulated industries requiring a self-managed or sovereign cloud deployment of their entire development lifecycle.
An algorithmic selection tool that suggests appropriate reviewers based on project contribution history and current availability.
Build and deploy high-performance AI applications at scale with zero infrastructure management.
The fastest polyglot Git hooks manager for high-performance engineering teams.
The version-controlled prompt registry for professional LLM orchestration.
Template-free Kubernetes configuration management for declarative application customization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Displays SAST, DAST, and Dependency Scanning results directly within the diff view of a Merge Request.
Uses LLMs to predict the downstream impact of code changes on the entire microservices architecture.
Allows reviewers to suggest complex refactors across multiple lines that can be applied with a single click.
Queues merge requests and verifies them in a combined state to ensure the target branch never breaks.
Attaches mandatory security policies and CI/CD templates to projects based on their compliance labels.
Dynamically deploys an ephemeral environment for every Merge Request to preview visual changes.
Developers accidentally introducing secrets or vulnerabilities into the main branch.
Registry Updated:2/7/2026
Developer applies fix and merges.
New hires taking weeks to understand the codebase and submission standards.
Changes in Service A breaking Service B because of API contract mismatches.