This post is simply about some more yak shaving and there was this one niggle that I just kept putting off, because it never really annoyed me enough, but recently I started watching a lot more video content from within dired and it finally got to me.

The problem. I press W in dired, which is bound to dired-do-async-shell-command, type mpv (or accept the default guess that my dired-guess-shell-alist-user provides for video files), and the video starts playing. Great. But when I close Emacs, the video dies too. The whole point of an async command is that it runs in the background, right?, so why does it disappear when Emacs goes away?, this is most perplexing!

I almost always reach for project-vc-dir when I want a VC status overview, and most of the time this is exactly what I want, the whole project laid out in one buffer, every modified, added and unregistered file in the repo sitting right there, ready to be diffed or committed. But every so often, particularly when I am deep inside a big repository and I only really care about a single subdirectory's worth of changes, that project-wide view is, frankly, a bit too much. Too many rows, too much scrolling, too much noise.

I have been doing a lot of fiddling with images lately, mostly through dired and image-dired, and one little thing has been bugging me for a while. When I open an image in Emacs, image-mode happily shows me the picture, but it never tells me the one bit of information I actually want to know, how big is the thing?, width, height, file size, that sort of thing. You can of course bounce out to a shell and run identify or file, but that feels silly when Emacs already has the image loaded.

Lately I’ve found myself wanting a better, more fine-grained view of what’s going on in a file under git. For some reason, my default workflow has been to keep jumping in and out of project-vc-dir to check changes. It gets the job done, but honestly it’s a bit of a hassle

I have been slowly chipping away at my Emacs-DIYer project, which is basically my ongoing experiment in rebuilding popular Emacs packages using only what ships with Emacs itself, no external dependencies, no MELPA, just the built-in pieces bolted together in a literate README.org that tangles to init.el. The latest addition is a DIY version of dired-collapse from the dired-hacks family, which is one of those packages I did not realise I leaned on until I started browsing a deeply-nested Java project and felt the absence immediately.

Flymake has been quietly sitting in my config for years doing exactly what it says on the tin, squiggly lines under things that are wrong, and I mostly left it alone. But recently I noticed I was doing the same little dance over and over: spot a warning, squint at the modeline counter, run `M-x flymake-show-buffer-diagnostics`, scroll through the list to find the thing I was actually looking at, then flip back. Two windows, zero connection between them.

I have been busy improving my annotation package! Simply Annotate, the latest release is 0.9.8 and I have put in a bunch of new features, so it felt like a good time to step back and show what the package actually does at this point, because honestly, quite a lot has changed since I last wrote about it.

Ever found yourself wanting to add a new AI provider to ollama-buddy? (probably not I would guess 🙂), only to realise you'd need to write an entire Elisp module? Or perhaps you're running a local inference server that speaks the OpenAI API, but can't be bothered with the ceremony of creating a dedicated provider file?

There is now an in-buffer replace feature in ollama-buddy, so now an ollama response can work directly on your text, streaming the replacement in real-time, and giving you a simple accept/reject choice!, I have also added an smerge diff inline if desired to show the differences and give the user the ability to accept or reject

One of the fundamental limitations of local LLMs is their knowledge cutoff - they don't know about anything that happened after their training data ended. The new web search integration in ollama-buddy solves this by fetching current information from the web and injecting it into your conversation context. Ollama has a specific API web search section, so it has now been activated!

One of the things that has always slightly bothered me about chatting with a local LLM is that it only knows what it was trained on (although I suppose most LLMs are like that) . Ask it about your own codebase, your org notes, your project docs - and it's just guessing. Well, not anymore! Ollama Buddy now ships with proper Retrieval Augmented Generation support built-in

Tool calling has landed in ollama-buddy!, it's originally not something I really thought I would end up doing, but as ollama has provided tool enabled models and an API for this feature then I felt obliged to add it. So now LLMs through ollama can now actually do things inside Emacs rather than just talk about them, my original "do things only in the chat buffer and copy and paste" might have gone right out the window in an effort to fully support the ollama API!

If you've ever enabled a new theme and noticed your tab-bar faces stubbornly hanging onto old colours or custom tweaks, I have found often that the tab-bar, tab-bar-tab, and tab-bar-tab-inactive faces don’t always blend cleanly with freshly loaded themes - especially of the older variety (a bit like me) and especially ones that came out before the tab bar was introduced into Emacs.

I've had a little free time recently (figuring out this baby stuff!) and thought I would spend time revisiting and refining my AI assistant ollama-buddy

I've been playing around with agentic coding and keeping up-to-date on the rapid development of the Emacs AI package landscape and I think I have refined in my own mind my idea of what I would like to see in an Emacs AI assistant.

The headline change regarding the latest release of ollama-buddy is GitHub Copilot integration; the rest of the work is about smoothing the UI and simplifying day-to-day use.

Having another look at my AI assistant - ollama-buddy, its been a while and it seems ollama has moved on since I started creating this package last year, so I have developed a new roadmap and the first step is to add ollama cloud models!

Here is just a quick one, I was working with an org-mode table for tracking work weeks and needed to auto-populate a Date column where each row increments by exactly one week. The table structure looked like this:

I recently came across a fascinating video titled "How Fast Can You Read? - Speed Reading Challenge" that demonstrated the power of RSVP (Rapid Serial Visual Presentation) for speed reading. The concept is quite nice and simple and I vaguely remember seeing something about it a few years back. Instead of your eyes scanning across lines of text, words are presented one at a time in a fixed position. This eliminates the mechanical overhead of eye movements and can dramatically increase reading speed!

For years, rgrep has been the go-to solution for searching codebases in Emacs. It's built-in, reliable, and works everywhere. But it's slow on large projects and uses the aging find and grep commands.

Packages like deadgrep and rg.el provide ripgrep integration, and for years I used deadgrep and really liked it. But what if you could get ripgrep's speed with just a single function you paste into your config?

I have created another package!, this time something that I thought was missing from the mighty Emacs and that is the ability to show video thumbnails in a grid and to be able to filter, sort e.t.c. Basically like an enhanced image-dired. I have been increasingly using image-dired for my image editing and management needs and am always adding little improvements, to such an extent I decided to create a video thumb grid package, enjoy!

Ollama Buddy now supports Mistral's Codestral - a powerful code-generation model from Mistral AI that seamlessly integrates into the ollama-buddy ecosystem.

I have been fiddling around with some very rudimentary Jira integration to org, basically something very simple, just a regular copy from the kanban and then convert into org headlines!

This package is designed for simpler workflows where you copy data from Jira rather than maintaining API integration.

For a little while now, I've been developing software that needs to run on Windows (I know, I know!) and occasionally firing up batch scripts from within Emacs shell. Everything was working perfectly until I needed to add a simple delay between commands. That's when I discovered one of Windows batch scripting's more peculiar quirks.

And what have I been working on recently?, well lets consider the following questions…

• What should we eat Monday through Friday?
• What about the weekend when we have more time to cook?
• Didn't we just have pasta last week? And the week before?
• How do I plan for batch cooking without ending up with the same meal rotation?
• Where did I put that list of meal ideas again?