1作者: akardapolov29 天前原帖
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&lt;T&gt;).<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 &quot;legacy&quot; 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!
1作者: zhyder29 天前原帖
Engineers are increasing setting up coding agents to run continuously, some running multiple agents in parallel. I&#x27;ve struggled to adopt these because I&#x27;ve struggled to build confidence without full code review.<p>How are y&#x27;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&#x27;ll have to learn to give up some control; we&#x27;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?
2作者: vednig29 天前原帖
i&#x27;m interested to know more about the international payment system but most of the data online is looking more and more biased so I&#x27;m here to do recon<p>i&#x27;d love to know what&#x27;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>&quot;US: &lt;response&gt;&quot;, it&#x27;ll help me categorise better<p>thank u, in advance
19作者: sdan29 天前原帖
Hey - I&#x27;ve been playing with LLMs since GPT-2 and recently experimented with fully generative UIs where the HTML&#x2F;Canvas are generated just-in-time.<p>Every post on the feed( on slop&#x2F;duck&#x2F;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 &quot;Following&quot; 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.