Posts tagged with "Coding"

Gemini CLI vs GitHub Copilot (redux)

1 min read; 10 GFI

Given I'm almost certainly going to drop GitHub Copilot starting next month, I'm using Gemini CLI more and more for BlogMore. Yesterday evening, I used it to plan out an idea for a change to the application. Now that I've migrated all images to WebP, I thought it might be interesting to look at the idea of having a responsive approach to images. This is something I don't know a whole lot about (never having needed to bother with it before), but it also happens that I need to read up on this anyway for something related to the day job; given this, it felt like a good time to experiment.

Together with Gemini CLI a plan was created.

This morning, over second coffee, I've kicked off the job of implementing it and, honestly, Gemini CLI is really struggling. It "implemented" the change pretty quickly, within minutes, but it just plain didn't work. Since then I've had it iterate over the issue four times and now it's struggling to make it work at all. It's still beavering away on this as I type, and consuming daily quota at a fair rate too.

So, while I still have GitHub Copilot, this feels like a good point to play them off against each other at least one more time. Having saved the plan Gemini wrote last night as an issue, I've assigned it to Copilot (using Claude Sonnet 4.6). As I type this, I have Gemini racing to get this working in a terminal window behind Emacs, meanwhile there's Claude doing its thing in GitHub's cloud.

It'll be interesting to see if Copilot manages to one-shot this, for sure Gemini is far off a one-shot implementation.

Braindrop v1.1.0

1 min read; 9 GFI

Braindrop

It's now well over a year since I released Braindrop and it's in constant use by me. I continue to find raindrop.io a really useful resource, and more often than not manage, edit, tag, and review what I save there with Braindrop, including which become public, and which don't.

I've made a few small changes to the application in the past year and a bit, but not much. It's been stable and useful. But on the back of a recent change I made to OldNews, I felt I needed to make the same change here.

So with the release of v1.1.0 I've added three new commands to the application:

  • JumpToNavigation - Jump to the navigation panel; bound to 1 by default
  • JumpToRaindrops - Jump to the main raindrops list panel; bound to 2 by default
  • JumpToDetails - Jump to the details panel for the selected raindrop, if the panel is visible; bound to 3 by default

Now it's just a little easier and quicker to get around the UI.

If raindrop.io is your thing, and you want to work with your saved bookmarks in the terminal: Braindrop is licensed GPL-3.0 and available via GitHub and also via PyPI. It can also be installed using uv:

uv tool install braindrop

If you don't have uv installed you can use uvx.sh to perform the installation. For GNU/Linux or macOS or similar:

curl -LsSf uvx.sh/braindrop/install.sh | sh

or on Windows:

powershell -ExecutionPolicy ByPass -c "irm https://uvx.sh/braindrop/install.ps1 | iex"

If uv isn't your thing then it can also be installed with pipx:

pipx install braindrop

Once installed, run the braindrop command.

BlogMore v2.23.0

1 min read; 11 GFI

I wasn't quite planning on making a new release of BlogMore so soon after the previous version, but I had a couple of ideas that I wanted to add, and then also got a nifty request too; so here we are: we have v2.23.0.

The first couple of changes relate to the cache. In the previous release I added a cache of the FontAwesome metadata, which in turn means that a cache directory is being created. I felt it would be fair and useful to provide a command that both lets the user know where the cache lives, and to also remove it. So now BlogMore has a cache command with two sub-commands:

  • location: tells you where the cache directory is located
  • clear: removes the cache directory

Also, now that we have a cache directory, it makes sense to use it a bit more to squeeze even more time out of the build process. So starting with this release, per content directory, the various icons that are created for the site are cached. This means that if the source image doesn't change, for each subsequent build there's no conversion and resize for every variation. This saves a good fraction of a second, making the build of my blog feel noticeably quicker.

Finally, earlier today, Andy asked if it would be possible to have the BlogMore serve mode auto-reload any page being viewed in a browser, when the site is regenerated. It was something I'd considered myself a couple of times so that was a good reason to finally look into it. Not knowing how this could be achieved1, I prompted Gemini for an idea, stressing I wanted a solution that didn't disturb a generated site; it came up with a convincing solution. I let it run at it and, along with a few changes of my own, it seems to be working a treat.

This, of course, now makes me want to squeeze even more time out of the build process.


  1. Web development has never been my primary area of knowledge. 

Gemini is kind of messy

1 min read; 11 GFI

As I've mentioned a few times recently, I'm using Google's Gemini CLI more at the moment; in part because I have a Gemini Pro account so it makes sense to use it, but also in anticipation of dropping anything to do with Copilot.

While I've had some troubles with it -- as can be seen here, here and here for example -- I'm mostly having an okay time. The code it writes isn't too bad, and while it seems to need a little more direction and overseeing than I've been used to while using Copilot/Claude, it generally seems to arrive at sensible solutions for the problems I'm throwing at it1.

One difference with working with Copilot CLI that I have noticed, however, is that Gemini doesn't seem to care for cleaning up after itself. When faced with a problem it'll often write a test program or two, perhaps even create a subdirectory to hold some test data, run the tests and be sure about the outcome. This is good to see. It's not unusual for me to do this myself (or at least in the REPL anyway). But it really doesn't seem to care to actually clean up those tests. A handful of times now I've had it leave those files and directories kicking around. I've even said to it "please clean up your test files" and it's gone right ahead and done so, which suggests it "knows" what it did and what it should do.

This also feels like a new source of mess for all the people who commit their executables and the like to their repositories. That should be fun.

The thing I don't know or understand, at least at the moment, is if this is down to the CLI harness itself, or the choice of model, or a combination of both, or something else. I'm curious to know more.


  1. There is a weird thing I'm seeing, which I want to try and properly capture at some point, where it'll start tinkering with unrelated code, I'll undo the change, it'll throw it back in the next go, I'll undo, rinse, repeat... 

When Gemini CLI gets stuck

1 min read; 7 GFI

Another evening, and another period of Gemini CLI getting stuck thinking. So this time I thought I'd try something: cancel it while it was thinking and change the model.

Gemini Thinking...

I was working on something new for BlogMore and, sure enough, after a wee while, we got stuck in "Thinking..." mode. So I hit Escape and asked to pick a different model. I chose to pick manually, and went with gemini-3.1-pro-preview.

Picking the model

I then literally asked that it carry on where it left off...

Carry on

...and it did! It worked. No more sitting around thinking for ages.

Watching the quota after doing this, it looks like the model I was using ate quota faster, but that was worth it given I've never come close to hitting full quota with Gemini CLI.

Once the immediate job was done, I went back to auto and it worked for a bit, only to get stuck thinking again. I repeated this process and it did the trick a second time. From now on I'm going to use this approach.

It does, again, highlight how unreliable these tools are, but at least I've found a workaround that works for now.

BlogMore v2.22.0

2 min read; 9 GFI

As mentioned a couple of days ago, I've been toying with finding areas of improvement in respect to the performance of BlogMore. Until now, for good reasons, I've not really paid any attention to how fast (or slow) BlogMore is when it comes to generating my blog. While it's never been blindingly fast, it's always been fast enough and I was more keen on making it work right. So for a good while the focus has been on well-formed output, stuff that keeps the crawlers happy, that sort of thing.

But now that I'm in a place where new features aren't really so necessary, it does feel like a good point to find any easy wins in speeding up the code. I think it's gone well.

BlogMore v2.22.0 contains quite a few internal changes that speed up some core parts of site generation. Many of the things identified by Gemini, back when I first kicked this process off, have been done. The amount of Markdown->HTML conversion work has been vastly reduced, which has had a pretty big impact on all sorts of things. There's also caching of the FontAwesome metadata1 which should save a fair bit of time on slower connections. I did avoid the whole business of parallel processing as I dabbled with this near the start of the project and I could not wrangle a win out of that at all; given how much of a win I've had with these changes, I doubt that would change (it could conceivably make things worse).

So, how much faster is it? Roughly, based on my tests, a site generates in about 1/4 of the time it did before. On my M2 Mac Mini my blog builds in under 3 seconds; with v2.21.0 it took around 13 seconds. In my case that's with all the optional features of BlogMore turned on.

Naturally this work has touched on a lot of internals of the code, and made significant changes to the generation pipelines of lots of different pages and features. I've done my absolute best to compare2 the output of v2.21.0 and v2.22.0 and I can't see any significant differences3. When trying out v2.22.0 I would suggest paying just a little extra attention to the result, to be sure you're happy that nothing has changed.


  1. It lives in ~/.cache/blogmore on Unix and Unix-like systems, or %LOCALAPPDATA%\blogmore\cache on DOS/VMS-influenced systems. 

  2. Lots of diff -rq and then diffing an assorted sample of files that showed differences to inspect what was actually different. 

  3. Actually, there's a small difference in the context shown in backlinks, but this was a deliberate change and a very small cosmetic enhancement. 

The other unreliable buddy

2 min read; 10 GFI

Having had Copilot crash out the other day, while working on the linter for BlogMore, I decided to lean into Gemini CLI a little more and see how that got on.

When I first tried it out, a week back, I found it worked fairly well but could be rather slow at times. On the whole though, I found it easy enough to work with; the results weren't too bad, even if it could throw out some mildly annoying code at times.

Yesterday evening though, because of the failure of Copilot, I decided to go just with Gemini and work on the problem of speeding up BlogMore. This worked really well. I found that it followed instructions well1 when given them, and also did a good job of applying what it was told, constantly, without needing to be told again. I actually found I had a bit of a flow going (in the minimal way that you can get any sort of flow going when you're not hand-coding).

Using it, I tackled all the main bottlenecks in BlogMore and got things working a lot faster (at this point it's generating a site in about 1/4 of the time it used to take). By the time that work was done, I wanted to do some last tidying up.

This was where it suddenly got unreliable. I asked it a simple question, not even tasking it with something to do, and it went into "Thinking..." mode and never came back out of it. I seem to remember I gave it 10 minutes and then cancelled the request.

After that I tried again with a different question, having quit the program and started it again with --resume. This time I asked it a different question and the same thing happened. I hit cancel again and then, a moment later, finally got an answer to the previous question.

From this point onwards I could barely ever get a reply out of it. I even tried quitting and starting up again without --resume, only for the same result.

A quick search turns up reports similar to this issue on Reddit, Google's support forums and on GitHub. It looks like I'm not alone in running into this.

This here is one of the things that concerns me about the idea of ever adopting agents as the primary tool for getting code written: the unreliability of their availability, and so the resulting inconsistency of the output. It feels like any perceived win in terms of getting the code written is going to be lost in the frustration of either waiting and trying again when it just gives up playing along, or in running from one agent to another, hoping you find the one that is capable of working with you at that given moment.

Meanwhile folk talk like it's the solution to the problem of software development. It's especially concerning when those folk are in "engineering leadership" or a position with a similar name. When they talk like this they are either displaying a lack of foresight, or betraying a lack of care for the craft they are supposed to represent (amongst other reasons).

It's very timely that this post from Rob Pike popped up in my feed this morning:

Although trained in physics, I worked in the computing industry with pride and purpose for over 40 years. And now I can do nothing but sit back and watch it destroy itself for no valid reason beyond hubris (if I'm being charitable).

Ineffable sadness watching something I once loved deliberately lose its soul.

Yup.


  1. Albeit I sense it pays little to no attention to AGENTS.md 

Speeding up BlogMore

3 min read; 11 GFI

As mentioned recently, Andy did a nifty bit of testing of BlogMore to measure the performance hit of each of the optional generation features. Performance is something I haven't really spent much time thinking about; I cared more about how the result looked than I did about how quickly a site got generated.

I seem to remember that, early on, I did have a bit of a play with trying to get Copilot to tackle the idea of parallel generation of parts of the site, but I didn't seem to get any sort of win out of it so I closed the PR and gave up on the idea.

Now though, especially having added the elapsed time of each step to the progress report during generation, I am curious about what wins there are. One that came to mind right away, and I have been considering dealing with for a wee while, is the fact that every generation downloads the FontAwesome metadata. Caching that would be a simple win, for example.

But, if I'm going to do this, it makes sense that I stick to the spirit of this project and get one or more agents to tackle the problem. So I asked Gemini CLI to look over the codebase and give me some big easy wins. I made clear I didn't want it to do any work yet, I just wanted it to report back what it could find.

The result made a lot of sense. Here's what it said:

Performance Optimization Recommendations for BlogMore

I have conducted a comprehensive review of the blogmore codebase and identified several areas where measurable and significant speedups can be achieved, particularly for larger sites.

The most significant bottleneck is in src/blogmore/backlinks.py. The build_backlink_map function iterates through every internal link in every post. For each link, it calls _extract_snippet, which re-parses the entire Markdown content of the source post to generate a plain-text snippet.

  • The Issue: If a post has 20 internal links, it is parsed 20 times just for backlinks.
  • The Win: Modify the logic to insert unique markers for all links in a post and perform a single Markdown-to-plain-text conversion per post.

2. Redundant Markdown Parsing for Metadata

The Post object in src/blogmore/parser.py has properties like description and reading_time that are accessed frequently (on the post page, index pages, RSS feeds, search index, etc.).

  • The Issue: Post.description calls extract_first_paragraph, and Post.reading_time calls calculate_reading_time. Both of these functions perform a full Markdown conversion every time they are called because they are not cached.
  • The Win: Use functools.cached_property on these fields. Additionally, these should be calculated by extracting text from the html_content that has already been generated during the initial parse, rather than re-parsing the raw Markdown.

3. Sequential Processing

The generator currently processes everything sequentially in a single thread.

  • The Issue: For a site with hundreds or thousands of posts, the initial Markdown parsing and the subsequent Jinja2 rendering are strictly serial, leaving multi-core CPUs mostly idle.
  • The Win: Use multiprocessing (e.g., ProcessPoolExecutor) to parallelize the parsing of Markdown files and the rendering of HTML pages. Since these tasks are CPU-bound and independent, this would scale almost linearly with the number of CPU cores.

4. Asset Management Inefficiencies

The AssetManager in src/blogmore/generator/assets.py performs some operations that could be optimized:

  • FontAwesome Metadata: It downloads icon metadata from GitHub on every build to optimize CSS. This can be cached locally to avoid network latency.
  • Icon Generation: It regenerates favicons and Apple touch icons on every build. This should be skipped if the source icon hasn't changed.

5. Minor Algorithmic Improvements

  • Navigation Lookups: In PageGenerator.generate_post_page, the code uses all_posts.index(post) to find the current post's position for prev/next links. This is an O(N) operation called N times, leading to O(N^2) behavior. Pre-calculating a mapping would make this O(1).
  • Markdown Instance Reuse: Several utility functions (markdown_to_plain_text, extract_first_paragraph) create a fresh markdown.Markdown instance on every call. Reusing a single instance (and calling .reset()) or caching the instance creation would reduce overhead.

Summary

The "Big Wins" are definitely optimizing backlink snippet extraction and implementing parallel parsing/rendering. Together, these would likely reduce generation time for large sites by 60-80% on modern hardware.

At first glance they all seem pretty sensible, and I like that it seems to have found some really obvious big improvements, and also the little wins that might have a cumulative effect. I strongly suspect the parallel generation suggestion is again going to be a non-win (and so for now I'm going to pass on it), but most of the other suggestions seem doable and worth trying out.

I think what I will do, rather than work through them all in one PR, is tackle one at a time. So, over the next few days, expect to see some PRs turn up and get merged (hopefully), as I try and tease some speed wins out of the code.

BlogMore v2.21.0

2 min read; 10 GFI

After noticing a broken link in a post yesterday, I got to thinking that it would be useful to add a linter to BlogMore. So I've released v2.21.0 which adds linting support.

A number of things are checked and the results are broken down into things that are errors or warnings. Errors result from any of these checks:

  • Ensures all posts and pages have valid YAML frontmatter. If a file cannot be parsed, it is reported as an error.
  • Scans the generated HTML for links to non-existent internal paths (other posts, pages, categories, tags, archives, site features like search, or files in extras/).
  • Checks that all <img> sources resolve to valid internal paths or files in the extras/ directory.
  • Checks that the cover property in a post or page frontmatter points to a valid resource.
  • Verifies that all page slugs listed in sidebar_pages actually exist.
  • Checks that all internal-looking URLs in the links: and socials: configuration settings point to valid targets.

On the other hand, the following just result in a warning:

  • Flags if a post is missing a title, category, tags, or a date.
  • Reports if a post's date or modified date is set in the future.
  • Notes if a post's modified date is earlier than its original publication date.
  • Identifies if two or more posts share the exact same title.
  • Flags inline images missing an alt attribute, or those with an empty/whitespace-only alt attribute.
  • If clean_urls is enabled, warns if internal links point explicitly to index.html.
  • Reports internal links using the full site_url (e.g., https://example.com/path/) instead of a root-relative path (/path/).

I feel like all of these cover most of the things that are low-cost to detect but have a positive impact on the state of the content of a blog.

One thing I've not done is any sort of checking of external links. This would be costly and could possibly have unintended consequences that I don't want to be messing with (perhaps a tool to export the list of external links for checking could be useful, at some point).

Having run this against this blog, I did find some things that needed cleaning up, mostly absolute links that could be turned into root-relative links (always good for making the content portable).

I'm going to make this a standard part of my "I'm ready to publish" check for this blog, and it should also be helpful as I carry on migrating the images in the blog over to WebP.

An argument with Gemini

1 min read; 8 GFI

At the moment I'm working on a linting command for BlogMore. Having given up on Copilot/Claude for this, I've been having quite a bit of success with Gemini CLI. But while doing this, I've noticed some odd things with it. It does have this habit of cargo-culting some changes, or just rewriting code that doesn't need it.

For example, the tests for the new linting tool: it keeps adding import pytest near the top of the test file despite the fact that pytest doesn't get used anywhere in the code. Every time, I'll remove it, every time it adds more tests, it'll add it back.

Another thing I've noticed is it seems to be obsessed with adding indentation to empty lines. So, if you've got a line of code indented 8 spaces, then an empty line, then another line of code indented 8 spaces, it'll add 8 spaces on that empty line. That sort of thing annoys the hell out of me1.

But the worst thing I just ran into was this. It had written this bit of code:

def lint_site(site_config: SiteConfig) -> int:
    """Convenience function to run the linter.

    Args:
        site_config: The site configuration.

    Returns:
        0 if no errors, 1 if errors were found.
    """
    linter = Linter(site_config)
    return linter.lint()

On the surface this seems fine: a function that hides just a little bit of detail while providing a simple function interface to a feature. But that use of a variable to essentially "discard" it the next line... nah. I dislike that sort of thing. The code can be just a little more elegant. So seeing this I edited it to be (removing the docstring for the purposes of this post):

def lint_site(site_config: SiteConfig) -> int:
    return Linter(site_config).lint()

Nice and tidy.

I then had Gemini work on something else in the linting code. What did I see towards the end of the diff? This!

A sneaky edit

Sneaky little shit!

Now, sure, the idea is you review all changes before you run with them, but knowing that it's likely that any given change might rewrite parts of the code that aren't related to the problem at hand adds a lot more overhead, and I wonder how often people using these tools even bother.


  1. I've seen some IDEs do that on purpose too; I've got Emacs configured to strip that out on save.