Archive for the ‘LLM’ Category
Posted by jpluimers on 2026/10/08
A friend is starting a new business, so I am curious to what [Wayback/Archive] Sonde — Arriving soon will bring (or brought if this post scheduling arrives later than their release).
Looking at the taglines below, I think is that this is an intelligent (unlike LLM “intelligent”) source analysis/probing tool.
The Arrival animation sequence at [Wayback/Archive] Sonde — Arrival attributes the software development past in 29 stages, all the way back from FORTRAN till the more recent Swift until finally showing the moon, hopefully indicating a release before the Artemis IV will land people on the moon:
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Posted by jpluimers on 2026/09/30
Recently someone commited a large set of LLM (Large Language Model often wrongly called AI or Artificial Intelligence as at best they are an AI model, or better phrased machine learning model, not even a machine learning reality¹) assistance files to the pixelfed repository. This caused quite some turmoil resulting in pixelfed banning AI generated contributions.
This is for good reason: too many LLM generated commits lack quality control. This results in shoving the burden of the checks from the contributor to the volunteers of the project teams. Those volunteers are already overwhelmed anyway (there is always an applicable XKCD, in this case [Wayback/Archive] 2347: Dependency – explain xkcd).
The offending commit was [Wayback/Archive] Add AI docs · pixelfed/pixelfed@65dff00 · GitHub. The contributor was lazy enough to wrongly name this commit, as these weren’t docs in the sense of documentation, but a set of Claude Skills and other LLM slop².
That behaviour is exemplary for almost all LLM contributions: most humans and systems generating them take them for correct and just commit their content.
I am still not convinced that the main contributor switching within a few days from “oh, let’s add LLM stuff” into “nope, we are not going to allow LLM” vows for a strong soul.
The Pixelfed statement is via [Wayback/Archive] pixelfed: “Pixelfed bans AI generated contributions…” – Mastodon
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Posted in Agile, AI and ML; Artificial Intelligence & Machine Learning, Claude, Code Quality, Development, Generative AI, JavaScript/ECMAScript, LLM, PHP, Quality Assurance, Scripting, Software Development, Vue.js | Leave a Comment »
Posted by jpluimers on 2026/09/23
Posted in AI and ML; Artificial Intelligence & Machine Learning, BlueSky, Chat, Development, Facebook, Fediverse, Generative AI, Instagram, LinkedIn, LLM, Mastodon, Reddit, SocialMedia, Software Development, Telegram, Twitter, WhatsApp, YouTube | Leave a Comment »
Posted by jpluimers on 2026/09/16
Food for thought, and the on-line translations actually do a good job on it: [Wayback/Archive] Nog nooit was het zo makkelijk om het verkeerde product te bouwen | De Tijd.
It explains that nowadays, it never has been easier to quickly build the wrong product.
A comparison is made between vide coding making this way easier with the covod-19 period where also a plot of products were built quickly and failed miserably because – like most vibe coding “products” – end-users were not involved in the design.
What is missing is the combination of the recent Claude source code leak combined with the withholding of the Claude Mythos bug detector tool from the general public. So here are two posts on that:
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Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, Generative AI, LLM, Software Development | Leave a Comment »
Posted by jpluimers on 2026/07/08
The very to the point post [Wayback/Archive] Paul Schoe: “@dentangle You are totally c…” – Mastodon
You are totally correct.
Many people confuse the benefits of automation with a perceived need for AI or LLMs.
They don’t want ‘intelligence’ to do things for them. They want to implement a set of rules that they themselves define, to be done automatically instead of having to do it themselves. That is automation.
was a response to a more precise post [Wayback/Archive] Brett Sheffield (he/him): “I see people recommending LLMs repetitive tasks …” – chaos.social
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Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, Generative AI, LLM, Software Development | Leave a Comment »
Posted by jpluimers on 2026/06/24
Planning and feedback loops in extreme programming
TL;DR:
Using LLM in the software development process is shifting the feedback cycle to the top of the development cycle in the graph on the right. This is a costly endeavour.
LLM deliver output that is statistically likely, decreasing the chance to incorporate outliers as they are statistically unlikely but form the burden of software development.
[Wayback/Archive] Mumbly_Bum comments on AI is working great for my team, and y’all are making me feel crazy
Most of our tickets are now (initially) generated using Claude + the Atlassian MCP, and that’s allowed us to capture missed requirements up-front.
I think this is the key disconnect (even taking into account the notes from meetings) in understanding our jobs and why we’re not going away and why LLMs create harm in delivery.
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Posted in AI and ML; Artificial Intelligence & Machine Learning, Conference Topics, Conferences, Development, Event, LLM, Software Development | Leave a Comment »
Posted by jpluimers on 2026/06/23
Unlike SKYNET, actual Skynet is still far away: according to Google AI, there are t’s in both kilogram and kilogramme.
Screenshots mine as the Wayback Machine does not run the Google AI:
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Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, Google, LLM, Power User, Software Development | Leave a Comment »
Posted by jpluimers on 2026/05/26
Interesting article: [Wayback/Archive] Stack Overflow’s forum is dead thanks to AI, but the company’s still kicking… thanks to AI – Sherwood News. with this important quote:
The complex questions still get asked on Stack because there’s no other place. If the LLMs are only as good as the data, which is typically human curated, we’re one of the best places for that, if not the best for technology.
I wonder about how far it has declined now, and also think these are reasons for the decline as well:
Anyway, the graph in that post is just a sexy version of a query you can create yourself on the SEDE (Stack Exchange Data Explorer). That’s why I included both below.
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Posted in AI and ML; Artificial Intelligence & Machine Learning, Database Development, Development, DVCS - Distributed Version Control, GitHub, GitHub Copilot, GitLab, LLM, Pingback, Software Development, Source Code Management, SQL, SQL Server, StackExchange, Stackoverflow | Tagged: edit, executionPlan, graph, messages, query, result, results, resultSets, site, SQL, switch, ThisIsWhyWeCantHaveNiceThings | 2 Comments »
