MergeLoom turns approved tickets into validated pull requests using AI agents on your infrastructure, while keeping existing Jira, GitHub, GitLab, or Azure Boards workflows.

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MergeLoom is an agentic coding platform designed to turn approved tickets, issues, and feature requests into validated pull requests or merge requests. It supports ticket-to-code workflows for engineering teams by automating code checkout, prompt assembly, AI model execution, testing, validation, and PR or MR preparation. The app is built for teams that want AI-assisted development without changing their existing process. It integrates with tools such as Jira, GitHub, GitLab, and Azure Boards, and it is designed to keep labels, statuses, comments, and work intake aligned with the team’s current workflow. MergeLoom also supports guardrailed prompting, repository rules, and consistent review controls so that each run follows the same context, constraints, and validation steps. A key feature of MergeLoom is that execution runs on the user’s infrastructure, helping teams keep code, prompts, tests, and agent activity within their own environment. It supports self-hosted deployment, local validation, and use of approved AI providers or compatible endpoints. This makes it suitable for organizations looking for AI coding automation, software development workflow automation, and controlled code generation with auditability and test-driven checks.

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