Xantier · HackerTrans

18 hours agodiscuss

Still kicking around with https://viberglass.io to assist the whole development team (or smaller companies) to work together on development. Hoping to open source a better multiplayer experience on it over the next few weeks and then it's moving self-hosting options towards other cloud providers.

Xantier

3 months agodiscuss

Which alternatives are you using for AirDrop on Linux? I haven't been able to find a good one for this yet.

Xantier

3 months agodiscuss

Tinkering around building https://viberglass.io. It started off as a way to allow my wife to keep her website up to date without any coding skills, but ended up growing arms and legs.

It is a hosted ticketing system/agent harness platform with integrations towards other ticket systems and chat apps. It allows triggering agentic (coding) tasks without the need to context switch and/or know anything about installing the wanted tools, SDKs, IDEs etc. Ephemeral workloads in isolated containers or cloud compute. Trying to help commoditize small scale development tasks and and prevent them from getting lost in the void of the backlog.

Open source with local or AWS self-hosted, full IaC attached.

Xantier

11 months agodiscuss

I've done a bit of research around trying to find the best, simple clients that don't need an engineering degree to set up but haven't really stumbled upon a good one yet. Claude desktop app advertises that they support all features (they don't), all the others with closer to full spec compliance are related to software development (VS Code and Continue etc.).

Xantier

11 months agodiscuss

I find the context forge quite nice from IBM. I used a few approaches they've implemented within my Ctxpack context management solution as well.

I think the agentic use cases aside, the client side of MCPs are still lacking quite a bit and would need to mature to be able to catch up to the spec. I feel a lot of use cases exist outside of fully automated agentic approaches, since we can't really rely on LLMs yet to produce at a human level.

The underserved cases rely a lot on prompt and resource management at the moment. Being able to iterate and share those across teams to provide easy starting points to delegate tasks is something I feel would be workable for the current iteration of AI assisted work, outside of pure software engineering.

Hopefully other clients join VS Code Copilot to allow more varied approaches than just simple tool calls here. I think Copilot's approach on prompt and resource management isn't quite the best approach either though. It is still early days for MCPs in general so i think we'll see a lot of experiments in this space.

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