Tegon is AI-First Issue Tracking tool for engineering teams

Tegon is an AI-first, open-source issue tracking software that uses AI to smartly automate manual task, workflows or provide more context to engineers for a given task.

Issue Tracking is important for fast-paced teams, enabling them to organize list of tasks, collaborate, and track progress effectively. However, existing tools often introduce the following challenges:

• Manual efforts in task management, such as task triaging and backlog maintenance, can be time-consuming.
• Engineers often waste time navigating multiple platforms to gather task context, rather than accessing details within the task itself.
• Issue tracking tools serve as a task database, directing engineers on what to work on but not aiding in faster task completion.
• Existing tools don't effectively assist Engineering Managers in real-time task, feature, or bug prioritisation.

https://www.loom.com/share/b664b01e9b064a02be5791c12b77a107?sid=d4146365-1597-4ff5-88fd-a07b08ddb9f4

Go to demo.tegon.ai and login with the following credentials

email: [email protected]
password: XfFNw6GwVJVQv6PA

1. Install Docker on your workstation (see instructions). Make sure you’re on the latest version of docker-compose.

2. Run the following commands in your terminal:

git clone https://github.com/tegonhq/docker.git
cd docker

3. Create a .env file

cp .env.example .env

4. Run the start script and follow the prompts

./start.sh

5. You can now check tegon at http://localhost:8000

We offer a managed cloud version of Tegon that allows you to run Tegon without having to manage the infrastructure. It is currently in private beta. If you're interested in using Tegon Cloud, please book a demo call.

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