Show HN: Huzzah – a novel approach to coding with AI https://ift.tt/V0tS1wx

Show HN: Huzzah – a novel approach to coding with AI Hello everyone. I've been working on this experimental editor called Huzzah. I've been working almost exclusively with coding agents since January of this year, and over the past few months I began to feel utterly exhausted by them. They're great, but I'm finding it more and more tedious to write full sentences for every change I want. Not only that, but it seems there's a complexity limit for codebases - beyond a certain point the agent begins confusing itself. I'd like to go back to writing code, but I don't want to go all the way back to fully manual coding. So I've come up with this interaction paradigm where you: 1. write pseudocode in whatever way makes the most sense to you 2. on save, the editor synchronizes your work to real source code 3. the pseudocode is persisted alongside the generated code, making your prompt effectively a stored record of intent. It may not work for every use case, but in my initial playthroughs I've found it very enjoyable. Right now it's just a proof of concept - installation instructions are here in the readme: https://ift.tt/xblgTG7 You can also watch a video of it in action here: https://ift.tt/8OoJDgk Cheers! https://ift.tt/xnJuvrE August 21, 2026 at 12:35AM

Show HN: Language Audio Trainer – Learn languages without looking at the screen https://ift.tt/SWa6UwQ

Show HN: Language Audio Trainer – Learn languages without looking at the screen I recently built a language learning app with a slightly different approach. I deliberately didn't want it to be another Duolingo-like app. I think users should be able to choose what they want to learn and when. The main idea behind Language Audio Trainer is that you can simply press Play and listen to useful phrases in the background with the screen off — while walking, driving, cooking, etc. You can skip or repeat phrases, change the speech speed and number of repetitions, and choose the translation direction. There is also a flashcard mode for when you want to study more actively. I'd be interested to hear what you think about this approach to language learning. iOS: https://ift.tt/quxOSDM... Android: https://ift.tt/fS7bmQT... https://playling.netlify.app/ August 20, 2026 at 11:47PM

Show HN: terminal-code – VS Code inside the terminal https://ift.tt/fDicBYv

Show HN: terminal-code – VS Code inside the terminal https://ift.tt/q3kwxt2 August 19, 2026 at 10:43PM

Show HN: Voidleap Code – agentic IDE, own harness, swap models mid-conversation https://ift.tt/1oDCuka

Show HN: Voidleap Code – agentic IDE, own harness, swap models mid-conversation We wanted to build a development environment that can make you a better agentic engineer, not a tool that makes money when you waste tokens. A tool where you can swap models between turns, edit the context, and see every agent action. To do it, we had to build our own harness. Free to use. We don't sell inference, so bring your own key. The sore spot is Claude subscriptions. We can't support them because of Anthropic's terms. The app runs on your machine, and your data never touches our servers. We've been building Voidleap Code using Voidleap Code since January. We didn't rush to launch, but instead focused on getting the architecture and package just right. There are still more features to build, and more polishing to do, but it's ready for you to try. Judge it for yourself and tell us what you think. https://voidleap.com/ August 19, 2026 at 12:10AM

Show HN: PantheonGPU – GPU health testing and AI workload benchmarking https://ift.tt/AZgk7hD

Show HN: PantheonGPU – GPU health testing and AI workload benchmarking Hi HN, I built PantheonGPU because I wanted a better way to answer a simple question: is this GPU actually healthy and performing the way it should? A GPU can show normal temperatures and utilization and still be underperforming, unstable under certain workloads, or have memory, PCIe, or configuration issues. PantheonGPU actively tests the GPU instead of only monitoring telemetry. It currently includes 45+ tests covering compute, tensor workloads, memory, cache, PCIe, thermals, stability, and AI/LLM inference. It supports both NVIDIA CUDA and AMD ROCm. I’m also exploring a larger use case: running Pantheon across GPU fleets to identify individual GPUs that behave differently from the rest of a server or cluster. I’d especially appreciate feedback from people running AI infrastructure, multi-GPU systems, local LLMs, or GPU clouds. https://ift.tt/jHaidbF August 19, 2026 at 12:17AM

Show HN: Open-source comment section widget, Disqus alternative https://ift.tt/g4qQ198

Show HN: Open-source comment section widget, Disqus alternative https://ift.tt/B7nFMIo August 17, 2026 at 11:36PM

Show HN: Interactive component to map fibre breaks (OTDR) https://ift.tt/J8AzW9b

Show HN: Interactive component to map fibre breaks (OTDR) Added an OTDR trace component as the latest in my component library for datacentre/network apps. Mainly for my own use in rackout. https://ift.tt/kuVY8l1 August 17, 2026 at 02:17AM

Show HN: I shrank DeepSeek V4 Flash to 57GB and it wrote a compiler on my Mac https://ift.tt/0jE5dbD

Show HN: I shrank DeepSeek V4 Flash to 57GB and it wrote a compiler on my Mac I built a specialized package of DeepSeek V4 Flash 0731 (originally 284B total parameters, 13B active), preserving reasoning, tool calling and coding capabilities: https://ift.tt/z0fqBYF... I let it write a minimal C compiler targeting ARM64, then test the result with Fibonacci and FizzBuzz programs, and it succeeded in less than 1 hour, with the full recording at: https://youtu.be/XiwSilmV8B0 You can run it on Silicon Macs with my engine https://ift.tt/7JlDyHX , while one of the core libraries developed to obtain this result is available at https://ift.tt/OFVHc7b . The above recording was on a 128GB memory MacBook M3 Max, but you can also run it on 32GB MacBooks with a very usable context (128K tokens) and projected 5 tok/s. I did try it on a fanless 16GB memory MacBook Air M1 (1.39 tok/s), but unfortunately the available context was very small. How: - First, efficient quantisation: mlx-iqk takes advantage of IQ_K tensor encoding, more efficient than the ones available via llama.cpp or barebones MLX, originally designed by Iwan Kawrakow - I also changed the layout to a k-contiguous one, to make it faster, at least in this Metal setup. - Second, expert pruning: each of the 40 learned-router layers had 256 experts, and not all of them are equally important for the coding use cases. I removed 80B parameters - this is a known technique called REAP, shared at https://ift.tt/H2z4qLS . - Third: balancing the cheapest IQ1_S_R4 tensor encoding (~1.5 bits per weight), selectively promoting projections to IQ2_KS or IQ2_K where the measured error reduction justified the bytes. One of the main ideas was not only to save relevant knowledge, but also to not make it forget how to... stop thinking, how to use reasoning. In the first experiments, it would sometimes reason for thousands of tokens without closing its thinking section, or it would go in loops. Then I solved this by heavily weighting tool-calling traces and structured reasoning in the calibration mix. https://ift.tt/Kis7U5e August 16, 2026 at 10:43PM

Show HN: Hacker News Top Stories as Feeds to Use with RSS/Atom with Summaries https://ift.tt/jfbDUYK

Show HN: Hacker News Top Stories as Feeds to Use with RSS/Atom with Summaries Hey all, I’ve made this bot, it fetches every story that enters the HN Top 10, summarizes it with AI to a tweet-sized textlog note and publishes it. textlog.cc offers these endpoints as RSS/Atom through textlog.cc/u/hn10.rss and textlog.cc/u/hn10.atom so you can subscribe easily. Enjoy! https://textlog.cc/u/hn10 August 17, 2026 at 01:31AM

Show HN: built my 15-year-old game idea https://ift.tt/OCEHg5d

Show HN: built my 15-year-old game idea Distro Fighter: WARS is in closed beta, but HN gets its own door: https://ift.tt/MrNigkW - the arcade at https://ift.tt/JpkY0fC is open to everyone. Promotions happen at midnight tonight (weekly) and the seasons (migration) are quarterly. With a massive surprise at the end of each year. August 16, 2026 at 11:05PM

Show HN: Bribes.fyi – Compare bribes statistics department wise https://ift.tt/7OwFgl0

Show HN: Bribes.fyi – Compare bribes statistics department wise https://ift.tt/uj2VnTD August 16, 2026 at 03:41AM

Show HN: ElevenMusic Sounds, loop library that grows as other people generate https://ift.tt/sIb0JVW

Show HN: ElevenMusic Sounds, loop library that grows as other people generate https://ift.tt/Y2fjEbp August 16, 2026 at 03:52AM

Show HN: Live Claude Usage HUD for a $38 Thermalright Trofeo Vision LCD https://ift.tt/kJucOI3

Show HN: Live Claude Usage HUD for a $38 Thermalright Trofeo Vision LCD https://ift.tt/A1CQXIV August 16, 2026 at 03:12AM

Show HN: Every MUNI, BART and Caltrain in SF on a Live Map https://ift.tt/9Ub7PXq

Show HN: Every MUNI, BART and Caltrain in SF on a Live Map https://ift.tt/oJbgNS6 August 16, 2026 at 12:39AM

Show HN: Biasly.ai – Bias detection with historical context https://ift.tt/eZivTof

Show HN: Biasly.ai – Bias detection with historical context https://biasly.ai/ August 15, 2026 at 12:53AM

Show HN: PasteDaemon – Automatically remove tracking from URLs and more https://ift.tt/iae3fbm

Show HN: PasteDaemon – Automatically remove tracking from URLs and more https://pastedaemon.app August 15, 2026 at 12:12AM