Software development agents
Software development agents is central to the GitLab Duo Agent Platform workflow, helping users begin with less setup and reach a workable first result faster.
Coding & Development · Paid
gitlab.com
An agentic DevSecOps platform that coordinates AI agents and workflows across planning, coding, review, security, and delivery.
OVERVIEW
GitLab Duo Agent Platform is an agentic DevSecOps platform that coordinates AI agents and workflows across planning, coding, review, security, and delivery. It sits in the Coding & Development category and is designed around software planning, coding, debugging, and rapid prototyping. Its main capabilities include software development agents, repository and merge request context, iDE, CLI, and workflow orchestration.
The product is especially relevant for gitLab engineering teams, devSecOps automation, enterprise software delivery. In practice, GitLab Duo Agent Platform can help users shorten the path from an idea or issue to working, reviewable code. It works best as part of a reviewed workflow: start with a clear goal, provide useful context, assess the output, and refine it before relying on the result.
CORE FEATURES
Software development agents is central to the GitLab Duo Agent Platform workflow, helping users begin with less setup and reach a workable first result faster.
This capability makes GitLab Duo Agent Platform more useful for devSecOps automation, especially when several iterations are needed.
GitLab Duo Agent Platform combines this with software development agents, so the output can remain connected to the wider task instead of becoming an isolated feature.
USE CASES
Use GitLab Duo Agent Platform for gitLab engineering teams when you want to shorten the path from an idea or issue to working, reviewable code. Review the result against the original brief before sharing or publishing it.
Use GitLab Duo Agent Platform for devSecOps automation when you want to apply repository and merge request context to a practical workflow. Review the result against the original brief before sharing or publishing it.
Use GitLab Duo Agent Platform for enterprise software delivery when you want to apply iDE, CLI, and workflow orchestration to a practical workflow. Review the result against the original brief before sharing or publishing it.
BEST FOR
NOT IDEAL FOR
PROS
CONS
GETTING STARTED
Visit the official GitLab Duo Agent Platform website and review the current access and pricing options.
Choose one small task related to gitLab engineering teams rather than testing the product with a vague request.
Provide the relevant goal, source material, constraints, and desired output format.
Try software development agents, then refine the result using a second instruction or adjustment.
Check the final output for accuracy, quality, permissions, and fit before putting it into production.
PRICING
The product is primarily positioned as a paid service. Check the official site for current plans, trials, and regional pricing.
FAQ
GitLab Duo Agent Platform is a coding & development product for software planning, coding, debugging, and rapid prototyping. An agentic DevSecOps platform that coordinates AI agents and workflows across planning, coding, review, security, and delivery.
The product is primarily positioned as a paid service. Check the official site for current plans, trials, and regional pricing. Pricing and included limits can change, so confirm the latest details on the official website.
GitLab Duo Agent Platform is best suited to gitLab engineering teams, devSecOps automation, enterprise software delivery. Its strongest listed capabilities are software development agents, repository and merge request context, iDE, CLI, and workflow orchestration.
GitLab Duo Agent Platform may be a poor fit for shipping unreviewed code into security-critical systems or projects where the team cannot test or understand the generated implementation. Generated code should be tested and reviewed for security, correctness, licensing, and maintainability.
Relevant alternatives in the same category include Cursor, GitHub Copilot, Replit. Compare them by workflow fit, output quality, integrations, usage limits, and current pricing.