From 2021. Shouldn’t we already be seeing how it played out?
/edit: 183 public GitHub repos.
From 2021. Shouldn’t we already be seeing how it played out?
/edit: 183 public GitHub repos.
Links to two years ago. Surely jpg png or bmp parsers had security issues whatever years ago as well?
If you want your organization to use your current username, you’ll need to rename your personal account first
Is it possible to automate observing user renames and then create new accounts effectively blocking them?


After the first half, content repetition sets in, making me wonder about degree of LLM. I feel like at the end I read two things in particular three times.
Either way, The first half or third was interesting and valuable.


Liquid glass? Sounds hot. 🤡
They say they want to distance themselves from Microsoft. VSCodium is a stripped/forked VSCode, I have to assume that’s why they want to evade it. Theia is a separate, independent project that adds VSCode-plugin-compatible APIs.
I used GitGitGadget to make all of my contributions. This meant that I could make a GitHub pull request (a workflow I’m comfortable with) and GitGitGadget would convert my PRs into the system the Git developers use (emails with patches attached). GitGitGadget worked great and I was very grateful to not have to learn how to send patches by email with Git.
Interesting
Eclipse Theia is a VSCode-like IDE
I don’t know if all your desired tooling is covered.
A task that might have taken five hours assisted by AI, and perhaps ten hours without it, is now more commonly taking seven or eight hours, or even longer.
What kind of work do they do?
in my role as CEO of Carrington Labs, a provider of predictive-analytics risk models for lenders. My team has a sandbox where we create, deploy, and run AI-generated code without a human in the loop. We use them to extract useful features for model construction, a natural-selection approach to feature development.
I wonder what I have to imagine this is doing and how. How do they interface with the loop-without-a-human?
Either way, they do seem to have a (small, narrow) systematic test case and the product variance to be useful at least anecdotally/for a sample case.
I am happy to share that we (the @GoogleAIStudio team) are now a sponsor of the @tailwindcss project! Honored to support and find ways to do more together to help the ecosystem of builders.
by Logan Kilpatrick - user profile desc: Lead product for @GoogleAIStudio & Gemini API. My views!


In December 2024, the BBC carried out research into the accuracy of four prominent AI assistants that can search the internet – OpenAI’s ChatGPT; Microsoft’s Copilot; Google’s Gemini; and Perplexity. We did this by reviewing responses from the AI assistants to 100 questions about the news, asking AI assistants to use BBC News sources where possible.
The answers produced by the AI assistants contained significant inaccuracies and distorted content from the BBC. In particular: …
51 % significant issues, 19 % factual errors, 13 % altered or invalid quote citations


The article isn’t very concrete on what the substance of this Anyway System is.
The FAQ answered my question though, and it seems mostly about dynamic management of PCs as execution nodes.
I assume that means I could run the model on one of those PCs as well, despite the article claiming you can use as few as four PCs? Or does this system somehow distribute a single model prompt process into multiple execution pipelines?
Did you remove your earlier post from two or three days ago? https://programming.dev/post/43579392
I posted a comment there, but looks like what I was asking about is no longer part of the post or repo readme this time around.
While trying to determine whether this is that I noticed you wrote “566 pages of theory” but then 573-page manuscript. I assume it became more pages, or are they different things?
Without understanding how it’s built, how do I know if there’s duplication, dead code, or poor patterns? I used to obsess over this. Now I’m less worried that a human needs to read the code, because I’m genuinely not sure that they do.
What you do need: simple entry points, explicit code with fewer abstractions, minimal coupling, and linear control flow.
Seems to be the common simple standard software works well fallacy.
By “can replace developers”, what do they mean? They don’t clarify, only talk about their three success projects.
We’ve seen studies of the issues and risks, and discrepancy between user perception and more factual gains. And this post certainly seems like they’re not experienced in or thinking of development and maintenance that goes beyond simple standard integration software. Which doesn’t make it too surprising they’re not concerned about security for those simpler projects either.


A comment late in the thread says none of the LLMs even use the PR-suggested llms.txt.
I’ve been using GNU Cash for many years.
The UI is kinda bad, way too complex, and the banking API integration is cumbersome and lacking.
That’s all negatives, and it sounds pretty bad, but it’s still my banking app.
Modern websites no longer fit the document-centric model HTML was created for. A typical news homepage mixes headlines, images, teasers, and interactive elements in ways the original spec never anticipated. The New York Times even present teasers without headlines at all. This diversity shows how little shared foundation there is for developers today – and why HTML needs a broader, more coordinated evolution beyond isolated improvements.
Aren’t such cases already covered? I don’t see the issue or alternative.
🎨 Theming dark-mode compatible

😵 quite the white border it has there
scrolling is also quite limited to only the content area
Manifesto from 2021.
183 public repos on GitHub