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AI · July 9, 2024

TO

Tegon: Open-source alternative to Jira, Linear

Hi HN, we're Harshith, Manoj and Manik and we're building Tegon (https://github.com/tegonhq/tegon), open-source issue tracking software that uses AI to smartly automate manual workflows or provide more context to engineers for a given task. There's a demo video here: https://www.loom.com/share/b664b01e9b064a02be5791c12b77a107, and you can try out the product at https://demo.tegon.ai using these credentials: Email: [email protected] Password: XfFNw6GwVJVQv6PA As engineers, our experience with traditional tools like Jira hasn't been great. It is…

In plain words

Tegon is an open-source issue tracking system designed as an alternative to Jira and Linear. Built by engineers, it incorporates AI to automate routine workflows and provide additional context for tasks. The software aims to streamline development work rather than focus primarily on management oversight, addressing complaints that traditional tracking tools are slow and burdensome for engineering teams.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN, we're Harshith, Manoj and Manik and we're building Tegon (https://github.com/tegonhq/tegon), open-source issue tracking software that uses AI to smartly automate manual workflows or provide more context to engineers for a given task. There's a demo video here: https://www.loom.com/share/b664b01e9b064a02be5791c12b77a107, and you can try out the product at https://demo.tegon.ai using these credentials: Email: [email protected] Password: XfFNw6GwVJVQv6PA As engineers, our experience with traditional tools like Jira hasn't been great. It is slow, bloated and often acts as a burden to engineers. These tools didn't help engineers in getting the work done faster, they only helped the management in tracking the work which enabled a lot of processes and micro-management which used to kill our productivity. With the rise of LLMs, we thought about how project management and issue tracking would look 5-10 years from now. The current tools didn't match our vision, which excited us and started the journey of Tegon. We aim to build a tool where manual workflows are either automated or handled by AI. This tool will provide better context about a task to an engineer by smartly gathering data from all sources, helping teams with better prioritization. Tegon loads all the data from local (indexed db) thus making it super fast to load and navigate. We make all of this happen by real-time sync in the background. Tegon also uses AI to simplify the issue-creation process by automatically creating titles, suggesting labels and assignees and identifying duplicates. Tegon also simplifies the issue creation process from Slack, just apply an emoji to a Slack message and a tegon issue will be created making it easier for other teams to raise bugs or feature requests to engineering teams. We deeply value the feedback from this community and have spent the last month revamping Tegon's design based on the feedback from our last launch. We just got started and there's a lot more to come. We're eager to get more feedback and keep building. Let us know what you think in the comments :)

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