dimamik
The problem is feedback being a bottleneck when code and prototyping became cheaper.
The solution Mostra suggests is that you add our OSS overlay script to your site, generate a link that embeds mostra project in query param, and share it with people whose feedback you care about.
These folks join the link and just talk while reviewing your feature or the whole site. Once they're done - their feedback is converted to comments that are pinned to the element they were talking about.
After the feedback is submitted, you can point your agent via MCP to fetch and act on it.
Please let me know what you think! I'd appreciate any feedback!
But I'm open to any suggestions on how to price this better!
In an AI era I feel like the tiny amount of Elixir code in comparison with other languages, but all that code having higher signal to noise ration vastly contributed to how good LLM-written Elixir code is. Especially in a well-maintainted codebase that relies on a decent db schema and Oban.
Show HN: Legion – AI agents that write sandboxed Lua inside your Elixir app
What role do humans play in your organization in an AI era?
The topic might sound very off, but recently, the more AI advances, the more “hype” it gets in different organizations, the more questions I'm starting to have. Since all of us are working in different fields, our internal experiences might differ. And I want to create a place for us to share these experiences.In particular, I'm interested in: - Has the place you work in established any...
Ask HN: What Makes a Podcast Successful?
[1] https://oban.pro/ [2] https://www.dimamik.com/posts/bm25_search/