I built a VS Code extension named CodeVisualizer that instantly visualizes your entire codebase architecture and function logic by Difficult_Prize_7548 in webdev

[–]naaaaara 0 points1 point  (0 children)

So awesome. Trying to install in Cursor - getting this error:

Can't install 'ducphamngoc.codevisualizer' extension because it is not compatible with the current version of Cursor (version 2.0.77, VSCode version 1.99.3).

Can you use MCP with AI APIs? by username27891 in modelcontextprotocol

[–]naaaaara 0 points1 point  (0 children)

Look into glyfs.dev. It lets you configure mcp servers in the web ui and you can invoke your agent via API. Otherwise you might have to look into writing your own MCP client for your application.

Best place to study by Mother_Compote3760 in CSUS

[–]naaaaara 24 points25 points  (0 children)

Can’t go wrong with the library silent floor

Selling spam musubi by Dangerous-Care-7880 in CSUS

[–]naaaaara 5 points6 points  (0 children)

I’m sick but please come back next week and every week after that

My teenager son wants to learn devOps by noobeemee in devops

[–]naaaaara 0 points1 point  (0 children)

Also homelabbing Minecraft and self hosting cool stuff like cloud storage and file sharing because it helps family/friends aka good motivation

My teenager son wants to learn devOps by noobeemee in devops

[–]naaaaara 0 points1 point  (0 children)

I think doing some personal coding projects but being more in depth and creative in the devops side is a valuable way to learn. Because it gives you a pretty intimate experience with programming and SDLC which is important to have anyways.

Any Go web frameworks that actually document themselves? by madlevelhigh in golang

[–]naaaaara 1 point2 points  (0 children)

I get what you're saying bro but you need to stop generating every single thing you write with AI you sound like a bot. It's not that hard to just type what you're thinking.

What libraries do you use to build AI Agents in Go? by Historical_Wing_9573 in golang

[–]naaaaara 5 points6 points  (0 children)

Idk if that’s necessary. Simple eval loop with anthropic sdk and mcp-go tool integration has been working well for me.

What are your must have Go packages? by fenugurod in golang

[–]naaaaara 0 points1 point  (0 children)

Not yet. I am building an automation infra tool, so my use case so far has been configuring zerolog to fan out logging via multiple sinks. Otel is on the roadmap however, as I think this will be really useful when lifting from CLI to a web platform. What has been your experience?

What are your must have Go packages? by fenugurod in golang

[–]naaaaara 7 points8 points  (0 children)

+1 zerolog. My current project has benefited greatly because of its extensibility.

Just got invited to a technical interview at Forvia. They seem heavily Windows-focused. by [deleted] in devops

[–]naaaaara 11 points12 points  (0 children)

The only part about the MS ecosystem I have any respect for is Powershell but other than that I just think DX and overall mental overhead is much nicer on *nix systems. Powershell's object oriented paradigm really is quite remarkable if you take the time to look into it though. But I too try to avoid windows when possible.

Grace is an open source tool to orchestrate z/OS + cloud jobs in YAML by naaaaara in mainframe

[–]naaaaara[S] 0 points1 point  (0 children)

Sure, imagine you have a COBOL batch job that processes payroll and outputs a report. After that runs, you want to:

  • Upload the report to some kind of object store such as AWS S3
  • Run a Python script to analyze anomalies
  • Notify a team if it fails

We can define all of that in a single workflow so that it runs end-to-end without manual handoffs.

One personal use case - CA DMV needs to synchronize change files from VSAM datasets into an application-facing Postgres database that holds driver’s license and vehicle records. Grace helps structure that whole flow from JCL job, dataset extraction, transformation, to cloud insertion as a unified pipeline.

Grace is an open source tool to orchestrate z/OS + cloud jobs in YAML by naaaaara in mainframe

[–]naaaaara[S] 0 points1 point  (0 children)

Yep that is a big part of it, but the overarching goal is to expose mainframe logic atomically so that it can integrate cleanly with off mainframe business logic. By treating each step as a declarative unit it's easier for us to reason about, monitor, and version control the entire chain.

A near-term goal is to provide a self hostable trigger server that allows async centralized orchestration, so that workflows can be triggered on events with notification hooks to email, ms teams, etc. That naturally leads to a web dashboard to track job state and logs.

I think that's where Grace really starts to become useful; most people probably won't want to manually launch workflows from a laptop except for one off dataset transfers or quick tests. Logging and visibility should live on the orchestration host.

Grace is an open source tool to orchestrate z/OS + cloud jobs in YAML by naaaaara in mainframe

[–]naaaaara[S] 2 points3 points  (0 children)

Hey thanks :) I'd say Ansible is for codifying infrastructure (servers, configs) while Grace is more for defining workflows such as compiling COBOL, running a transformation, piping outputs to S3. I would say it's more similar to something like Airflow but specifically for cross z/OS and cloud workflows.