Wow, there're a number of reasons. tulpal moves interacting with coding agents from developer machines and chat to the level it belongs: your user stories and tasks, which reside in a repository like Gitlab/github issues, JIRA, Linear or Azure DevOps. You already have the prompts.
tulpal automatically fetches tasks it is assigned to work on and delivers code to your git repo, on a branch.
You can clearly differentiate AI code from human work. No need to distract engineers and waste their time babysitting AI.
Yes, tulpal is self-sovereign enabled. You can self-host it with all features. Check out our documentation. tulpal is just one docker-compose upaway. tulpal will run everywhere where container images will run, including your cloud provider, kubernetes or desktop computer.
Sure, it is. Our portal frees you from the hassle of self-hosting and managing tulpal. We take care of the infrastructure, updates, and security, so you can focus on your core business.
Yes, you can try tulpal for a multi-week trail period, with all the features, until you are really sure about it. Commercial usage ultimatively requires a license after that. Only a banner will act as a reminder while you can continue to use tulpal without limitations.
It can‘t. tulpal will not expose your credentials to coding agents for a push. Coding agents only act on their local copy.
tulpal acts like every dev on your team: it works on a branch. You and your team can review, alter, reject or approve. No dev and no agent is perfect.
It is much safer than running locally. The AI coding agent runs in a containerized, isolated, and low-privilege environment, on its own local working copy, ensuring a clear separation between AI operations and any sensitive system or information.
No. tulpal is designed to handle the "boring" stuff, allowing your engineers to focus on their essential work. Agents will run even when your engineers are away, providing infinite junior dev capacity.
Costs are low and fixed, based on platform usage, not on developer headcount, token consumption or how many tasks are run in total. This allows for lower costs and centralized AI enablement for the whole organization. You can fully track and monitor token expenses and agent activity.
tulpal puts away with running coding agents uncontrolled on developer's local environments. It provides full observability and governance, allowing you to monitor and control AI agent activity, ensuring compliance with your organization's policies and regulations.
Yes. There is no need to commit to a single model or provider. You can easily switch models, even within tasks, to optimize for performance and cost.
No. tulpal runs fully autonomously, communicating with you using your ticketing system or issue repository. This way, humans don’t waste time and attention babysitting AI processes.
tulpal integrates seamlessly with Jira, GitHub, GitLab, Gitea, Forgejo, and standard Git workflows. Linear and Azure DevOps are coming soon.
Unfortunately: No, not at this point. For enterprise users, we offer to share the source code.