LabMate brings development into 'autopilot' mode: automatically implement requirements, submit and modify PRs, AI Review risks and suggestions. Supports complete private deployment, meeting enterprise security and compliance requirements.
Supports On-Prem / VPC / Air-gapped environments · Compatible with self-hosted Runners · Integrates with enterprise SSO
Comprehensive automation and intelligence around GitLab development lifecycle, covering key aspects from requirements to delivery.
Assign Issues to LabMate, automatically pull repository, plan tasks, and submit initial PR.
After accepting Review feedback, automatically fix issues, complete tests, and push again.
Automated Review of specified MRs, providing issue identification, risk alerts and improvement suggestions.
Offline/LAN available, covering compliance, audit, permission control, data stays within internal network.
Supports Webhook, API, CI/CD, Runner, compatible with existing processes and permission systems.
Automation reduces manual iterations, shortens cycles; supports domestic computing power and hybrid deployment to reduce costs.
LabMate deeply integrates with GitLab through Webhook and API, combined with enterprise private models or cloud large models, achieving 'assign and execute' full-process automation.
One-click assignment to LabMate in GitLab.
Parse context, generate implementation plan, create branch.
Automatically modify code, submit PR/MR, generate change descriptions.
Automatically fix based on comments and resubmit until approved.
Compatible with GitLab permission system and Runner, supports K8s deployment and elastic scaling, supports domestic/overseas computing hybrid, pluggable model backends (OpenAI, Anthropic, vLLM, SGlang, etc.).
All repositories, logs, model interaction data can be fully retained within internal network; supports offline deployment and access control policies, meeting compliance audits.
Inherits GitLab permission model, refined to project/branch/environment; supports read-only/write-only/approver role configurations.
Built-in operation logs, Token consumption and cost visualization, replay and traceability; supports integration with Prometheus / OpenTelemetry.
Supports enterprise private deployment and large-scale deployment, hybrid billing by seats and computing power/call volume.
Custom
Pay-as-you-go
Supports self-hosted and GitLab.com; API version compatible with 15+, adaptation packages available for older versions if needed.
Optional offline deployment, all data retained within internal network; provides access control, operation audit, data retention and compliance report templates.
Yes; can work with backends like vLLM/SGlang for PD separation, heterogeneous scheduling, improving utilization and reducing costs.
Seamless integration through Webhook and API, compatible with existing branch protection, approval flows and CI/CD; ready to use out of the box.