I built this as a personal open-source project to explore how EU AI Act
requirements can be translated into concrete, inspectable technical checks.<p>The core idea is local-first compliance:
– risk classification (Articles 5–15, incl. prohibited use cases)
– bias evaluation using CrowS-Pairs
– automatic Annex IV–oriented PDF reports
– no cloud services or external APIs (browser-based + Ollama)<p>I’m especially interested in feedback on whether this kind of
technical framing of AI regulation makes sense in real-world projects.
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Hi HN,<p>I built Dimension-TT because working with standard Swing JTable (and JXTable) usually involves a lot of casting, untyped Object[] arrays, and manual column index management.<p>This library creates a typed layer over the standard components. instead of addRow(new Object[]{...}), you work with setItems(List<T>).<p>Key features:<p>- Typed Rows: Map POJOs directly to table rows.
- Annotation Schema: Define column order, visibility, and names using @TTColumn on your model class.
- Modern Tech Stack: It requires Java 24+. It uses the JDK Class-File API for build-time scanning (indexing schemas without loading classes) and MethodHandles for high-performance runtime binding.
- SwingX Support: seamless integration with JXTable.<p>I know Swing is "legacy" technology to many, but it is still widely used in enterprise desktop apps and IDE plugins. I wanted to bring modern Java ergonomics to that ecosystem.<p>Check it out if you are still keeping the Swing torch burning!
Engineers are increasing setting up coding agents to run continuously, some running multiple agents in parallel. I've struggled to adopt these because I've struggled to build confidence without full code review.<p>How are y'all reviewing all this massive code output? How can it possibly scale, as the agents run faster or as you add agents?<p>I guess we'll have to learn to give up some control; we'll stop reviewing all lines of code, and increasingly rely on AI tools to summarize and flag specific lines. Are any tools good at this?<p>More generally, how do you build confidence in the code, both at the PR level and eventually at the codebase level (when 90+% of code in it will be written by agents)?<p>Am I too worried about code review, are there bigger bottlenecks in our jobs when using these coding agents?
<a href="https://x.com/revelium_studio/status/2009570090568577045" rel="nofollow">https://x.com/revelium_studio/status/2009570090568577045</a>
i'm interested to know more about the international payment system but most of the data online is looking more and more biased so I'm here to do recon<p>i'd love to know what's your preferred payment method for digital payments and why, any story you share would be great too<p>ps: please start with your country like<p>"US: <response>", it'll help me categorise better<p>thank u, in advance
Hey - I've been playing with LLMs since GPT-2 and recently experimented with fully generative UIs where the HTML/Canvas are generated just-in-time.<p>Every post on the feed( on slop/duck/storytime) you see is streamed and generated just-in-time with HTML and into a Canvas with Gemini 3 Flash.<p>Comments and DMs are bidirectionally linked with a Cloudflare Workers Durable Object which is why they feel so fast. Every generated post is saved into a DO SQLite which is then served into the "Following" feed so it can be served quicker.<p>This was inspired by Wikitok, a VSCode Extension I made around brainrot, and another fully generative UI site I made.