Makelog saves you time writing and sharing product updates with your stakeholders. Augment your changelog with GPT-3 and the tools you're already using like Linear, LaunchDarkly, GitHub, Jira, Segment, and more. Share updates with users on Slack or let them subscribe to email updates.
As a maker, publicizing all the amazing things that we and the team are building is the most unnatural part of the job. Not only is it a chore but writing compelling release notes is challenging. Can't wait to try this out!
Great release @juliejennifernguyen!
Change management is a system that's already well incorporated into engineering workflow (version control like Git), so having an automated bridge (ChatGPT) between something that's engineering-readable to other stakeholders could be really powerful now that we have that technology:
e.g.
```
GIT_SHA_1: "CSS changes for new dashboard experience"
GIT_SHA_2: "Optimize JavaScript bundles for dashboard"
...
```
then translated by ChatGPT:
"We've redesigned the dashboard experience for a better user-interface and have also optimized our dashboard-load times"
No we've removed the PM/PMMs from the loop with an AI :)
Looking forward to more releases!
@jeff_kao thanks Jeff! Yeah we are also super excited (and pleasantly surprised) that the technology is finally there! For a while, we were worried that "AI" would result in more overhead/work for folks to have to correct weird outputs. But it's actually quite good and, for the most part, assuming somewhat decent context in your tickets to begin with, it does a great job getting you started!
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This is one of the most exciting products I've seen to date. Makelog is a must have for every software company period.
This is awesome! What a great application of GPT-3 & is guaranteed to be a huge timesaver for PMs. Since every PM/PMM has their own tone they use in release comms I'm curious if it can learn & apply based on the edits that I make over time to keep streamlining the process.
Hey @gomezinla ! Really happy to see you are excited about it. 😄
To answer your question, integrating with GPT-3 was easier than we initially expected. The way we already integrate with existing tools (pulling tickets from Linear, Jira, etc..), allows us to feed the GPT-3 model with valuable data.
Personally, the UX with this flow is what excites me the most --
Filter, search, and select relevant tickets → GPT-3 → Written changelog post. All within the same editor.
Always happy to hear any thoughts, thanks so much for the comment. 😀
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