trevinhofmann

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This doesn't contribute much to the discussion.

Use whatever language works well for you and the task at hand, but many enjoy fullstack JS/TS.

trevinhofmann

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I've been considering good ways to use a task queue for this, and might just settle for a rudimentary one in a Postgres table.

The upside is that agent subtasks can be load balanced among servers, tasks won't be dropped if the process is killed, and better observability comes along with it.

The downside is definitely complexity. I'm having a hard time planning out an architecture that doesn't significantly increase the complexity of my agent code.

trevinhofmann

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Others have given some decent advice based on your comment, but would you be interested in a ~30 minute (video) call to dive a bit deeper so I can give more tailored suggestions?

trevinhofmann

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  Location: Wisconsin, US
  Remote: Yes
  Willing to relocate: No
  Technologies: TypeScript, Node.js, React, Express, ESLint, PostgreSQL, AI Prompting / Agents, Solidity, HTML, CSS (Sass, Panda), etc.
  Resume: https://drive.google.com/file/d/1AMqjgI_QkUnq8hbydyUC87D2-Duvlvif/view?usp=drivesdk
  Email: [email protected]

I'm a full-stack software engineer with ~10 years of experience and a B.S. in Software Engineering, who has primarily worked in fintech (PayPal, American Express, BGC Partners, Stripe). I'm closing a 2-year stint of solo freelancing for a wide variety of clients, along with launching my own AI software-development SaaS (https://mysticode.ai).

My focus has been full-stack web development for complex apps, but I love learning and would be open to considering other Engineering areas for the right company.

Best,

Trevin Hofmann

trevinhofmann

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There are some demos in the Docs [1] linked from the README, but I believe that's still very useful feedback. I will pass it along. Thank you!

[1] https://github.com/cybersemics/em/wiki/Docs

trevinhofmann

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Might be worth trying this free and open source note-taking app (disclaimer: client of mine).

https://github.com/cybersemics/em/

"em is a beautiful, minimalistic note-taking app for personal sensemaking."

trevinhofmann

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I recently launched Early Access for my AI-powered service for automated bug reporting, PR review, fearure implementation, a difficult test/documentation/refactor suggestion PRs.

It was in the works for about a year, and I'm now trying to find ways to make it more marketable and useful.

The three main things I'm working on are:

1. GitLab support (GitHub only at the moment) 2. A demo on the landing page that doesn't require any sign-up. 3. Better "vibe coding" experience through the Chat interface for those who want it.

I built it with TypeScript on the front- and back-end, React, Node.js, and PostgreSQL. And I over-engineeres it, as one does, with a Redis cache and websockets to push the latest data to web clients so the latest info is always shown without needing to refresh. I'm using the OpenAI API right now, but I want to switch to local models when I can invest in the hardware for it.

Edit: https://mysticode.ai - Would absolutely love feedback.

trevinhofmann

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I'm also having a difficult time getting the first users for my AI software development service. I decided to start with a high-touch Early Access model to understand the users and their needs better, and I'm up to 8 users so far.

For Early Access, I started with a LinkedIn post, reaching out to close colleagues, commenting in relevant Slack groups/channels, and introducing it to some of my better freelance clients. I'll be signing up 2 more of the freelance clients shortly, with one key feature request from each first. It's important not to get stuck in the trap of developing one-off features to get each new user, but these are features that would be broadly beneficial.

Soon, I'm planning to add a super-simple demo at the top of the landing page to increase conversions, and then I'll start promoting it more. Likely also some relevant informational content marketing on a blog.

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