Part of my daily work is to create instructions for workshops, and labs. One of the things in that entire content creation process, is to take screenshots and matching instructions and inorder to do that sometimes I need to add arrows, boxes, etc.. Using something like Google docs is pretty easy at that point, drag the screen shot create the overlay items. This time around I ended up having tons of such slides (a little over exaggeration). The next problem, download them as PNG files to add to the instructions. Out of all the nice usability tricks Google docs does not allow me to optimize on this. So I have to download one slide image at a time. yes really!! Well that was some rant, but hey now we have a JBang script that will do the rest. :)
Nano Agent, Mega Senses: Adding LSP to the 260-Line Coding Agent
Learn, learn, and learn more—that’s the name of the game. Coding agents are innovating fast; things are getting bigger and, quite often, bloated. To understand what an agent is actually doing, I’ve found it’s best to go back to the basics. It takes a bit more time, but the expertise you gain along the way sets you up for the long haul." So here I read Max’s post and thought, how about add some more things to this. Fetching ideas… done.. Lets add LSP support.
Using LLMs and MCP to generate static code analysis rules
Scribe is a Model Context Protocol (MCP) server that exposes a single tool:
executeKantraOperation. That tool turns structured parameters into YAML rules compatible with Konveyor / Kantra—the static analysis pipeline used for application migration and modernization. This post describes what Scribe does, how it is wired, and concrete examples you can copy.
Static code analyzers are great at what they do. Having the ability to write custom rules is important because it can cover multiple usecases such as, if an organization has their own framework or libraries that do not exist in the public domain. Or to look for patterns or anti-patterns or even best practises such as exceptions, logging etc. It can get quite cumbersome to write these rules and test them. While every conference in the world today buzzes of the word AI, how about we put it to real practise and provide this valuable feature with LLMs. Hence the advent of Scribe MCP server that will write Konveyor Kantra rules for an LLM.
Adding Rust Support and Some Major updates to My Neovim Config
It’s been about 8 months since my last update on neovim4j, and the config has evolved significantly. The name “neovim4j” is now a bit of a misnomer—while it started as a Java-focused setup, it’s grown into a polyglot development environment.
Rust Support 🦀
The biggest addition is comprehensive Rust support. I’ve integrated:
- rustaceanvim for advanced LSP features powered by rust-analyzer
- crates.nvim for smart Cargo.toml management and dependency completion
- codelldb debugger integration
- neotest for running Rust tests directly in the editor
The Rust setup mirrors the Java tooling quality—full LSP, debugging, and testing all working seamlessly. Semantic highlighting is disabled in favor of Treesitter for more colorful syntax highlighting.
