asdev

Have you ran your pipeline against an open benchmark like https://github.com/opendatalab/OmniDocBench?

I tried your project in my exploration and ran into an issue but I can't quite remember what it was. Anyways, I would be interested in connecting and learning more about your project, I dropped my X handle in the first issue on my Github repo

You should check out their MCP server: https://support.atlassian.com/atlassian-rovo-mcp-server/docs...

thanks for clarifying. I'll take a look into supporting this

sw engineering will be at an even higher premium if you've seen the code AI creates. AI will raise the bar to entry for sure though

can you elaborate why you don't want to run multiple copies of your dev stack? is it because you want to run your app from one place but be able to test multiple changes, vs having to install deps and start it from multiple folders?

I'll take a look. I think containers are overkill for my type of workflow. I'm working on a project where dependencies don't change often so I'm not worried about a CLI agent installing something on my machine and breaking things.

Not based on a single provider, I need to add more providers but basically supporting a provider is as simple as adding the relevant shell command for the CLI agent(claude for CC, codex for OpenAI etc). I'll try making a video at some point.

oh, and also closed source

I tried that, I couldn't get it to authenticate properly since I need to run some commands before running claude code. I also don't like that they rolled an entire UI when the terminal UI is good enough, it's just the parallelization of workflows that needed automation. Git worktrees were launched in 2015

yeah I was doing the same and it was working okay, but was hard to work in a truly parallel fashion due to agents making conflicting changes

Looks cool! I don't personally have the need to code from anywhere besides my laptop though

thanks! all feedback appreciated!

so just a way to be able to pull in more context/info about MCP servers in the form of .MD files?

The problem is you need to tell prompt Claude to "Store" or "Remember", if you don't it will never call the MCP server. Ideally, Claude would have some mechanism to store memories without any explicit prompting but I don't think that's currently possible today.

I can prompt an LLM to make a mermaid diagram and iterate on it. Why do I need "ChartDB"?

I speak for everyone when I say we don't need these videos at all and would be better off without them

how do claude/openai get around rate limiting/captcha with their computer use functionality?

this is a great copypasta

Looking for more self study statistics resources for someone with a CS degree, any other recs?

I don't think intelligence is increasing. Arbitrary benchmarks don't reflect real world usage. Even with all the context it could possibly have, these models still miss/hallucinate things. Doesn't make them useless, but saying context is the bottleneck is incorrect.

This is what billions in capex and 100M offers gets you apparently

Why they're working on all the application layer stuff is beyond me, they should just be heads down on making the best models

The problem is the research phase will fail because you can't glean tribal product knowledge from just looking at the code

Seattle has one of, if the not the biggest real estate bubble in the US

they also don't have an app store and are a closed platform which is a big downside.

React Native is actually quite good at this point, I've worked with it pretty extensively before doing a native app. I prefer it so I don't have to deal with iOS stuff directly

Unrelated, but as a backend dev who recently worked in Swift/SwiftUI to build an app, the iOS developer experience is absolutely horrendous

why would I use this over n8n?

What's your differentiation? I see a new AI agent workflow framework/platform/library every week, there's gotta be thousands by this point. Why do you feel you can win the market?