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The article explores the creation of a simple dog-walking game, detailing the development process, design choices, and the lessons learned along the way. It provides insights into the technical aspects of game development, emphasizing the importance of iterative design and user feedback.

I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.

Apple announces it will accelerate U.S. manufacturing by producing Mac mini computers in the country. This move aligns with the company's commitment to increasing its investment and innovation in the United States.

This portfolio showcases Marianne Feng's digital illustrations, including a series of Kindle book cover designs. The artwork features vibrant colors, whimsical characters, and engaging compositions that capture the imagination.

Cape is a company that develops wearable technology to enhance human capabilities, focusing on products that augment vision, hearing, and other senses to improve performance and safety in various industries.

The article describes the development of a mobile application called YJ Nearby Glasses, which helps users find nearby eyeglasses stores and compare prices. The app leverages location data and price information to provide users with a convenient way to shop for glasses in their local area.

Hey HN! We’re Arne and Raban, the founders of Emdash (https://github.com/generalaction/emdash).

Emdash is an open-source and provider-agnostic desktop app that lets you run multiple coding agents in parallel, each isolated in its own git worktree, either locally or over SSH on a remote machine. We call it an Agentic Development Environment (ADE).

You can see a 1 minute demo here: https://youtu.be/X31nK-zlzKo

We are building Emdash for ourselves. While working on a cap-table management application (think Stripe Atlas + Pulley), we found our development workflow to be messy: lots of terminals, lots of branches, and too much time spent waiting on Codex.

Emdash puts the terminal at the center and makes it easy to run multiple agents at once. Each agent runs as a task in its own git worktree. You can start one or a few agents on the same problem, test, and review.

Emdash works over SSH so you can run agents where your code lives and keep the parallel workflow. You can assign tickets to agents, edit files manually, and review changes.

We also spent time making task startup fast. Each task can be created in a worktree, and creating worktrees on demand was taking 5s+ in some cases. We now keep a small reserve of worktrees in the background and let a new task claim one instantly. That brought task start time down to ~500–1000ms depending on the provider. We also spawn the shell directly and avoid loading the shell environments on startup.

We believe using the providers’ native CLIs is the right approach. It gives you the full capabilities of each agent, always. If a provider starts supporting plan mode, we don't have to add that first.

We support 21 coding agent CLIs today, including Claude Code, Codex, Gemini, Droid, Amp, Codebuff, and more. We auto-detect what you have installed and we’re provider-agnostic by design. If there’s a provider you want that we don’t support yet, we can add it. We believe that in the future, some agents will be better suited for task X and others for task Y. Codex, Claude Code, and Gemini all have fans. We want to be agnostic and enable individuals and teams to freely switch between them.

Beyond orchestration, we try to pull most of the development loop into Emdash. You can review diffs, commit, open PRs, see CI/CD checks, and merge directly from Emdash once checks pass. When starting a task, you can pass issues from Linear, GitHub, and Jira to an agent. We also support convenience variables and lifecycle scripts so it’s easy to allocate ports and test changes.

Emdash is fully open-source and MIT-licensed.

Download for macOS, Linux or Windows (as of yesterday !), or install via Homebrew: brew install --cask emdash.

We’d love your feedback. How does your coding agent development setup look like, especially when working with multiple agents? We would want to learn more about it. Check out our repository here: https://github.com/generalaction/emdash

We’ll be around in the comments — thanks!

The article explores the concept of tackling large tasks one step at a time, using the construction of the Hoover Dam as an example. It highlights the benefits of breaking down complex projects into manageable pieces and the importance of consistent, incremental progress to achieve ambitious goals.

The optophone is a device that converts visual information into sound, allowing blind people to read printed text. It works by scanning text and converting the patterns of light and dark into a series of musical tones, enabling the user to 'hear' the written words.

The article introduces the Hugging Face Skills project, which aims to facilitate the development and deployment of machine learning models for a wide range of tasks, including natural language processing, computer vision, and reinforcement learning. The project provides a unified interface and tooling to make it easier for developers to work with different AI models and deploy them in production environments.

Federal Reserve Vice Chair Lael Brainard states that artificial intelligence (AI) is causing significant changes in the labor market, and there is a possibility of short-term unemployment due to the adoption of AI technologies.

The article discusses Cloudflare's introduction of VINextBot, a new AI-powered bot detection system that aims to improve website security and user experience by more accurately identifying and mitigating bot traffic.

The article introduces Mercury 2.0, a cutting-edge language model developed by Inception Labs that aims to revolutionize natural language processing by offering superior performance, scalability, and efficiency compared to existing models.

Pi is a decentralized digital currency and financial platform that allows users to earn Pi by completing simple tasks on their smartphones. The project aims to create a sustainable cryptocurrency ecosystem that is accessible to everyone.

The article discusses a coding challenge called 'Challenge Forth', which involves solving various programming problems using the Forth programming language. The challenge aims to test participants' understanding of Forth and their ability to solve complex problems efficiently.

Related ongoing thread: Discord cuts ties with identity verification software, Persona - https://news.ycombinator.com/item?id=47136036 - Feb 2026 (282 comments)

The article discusses the installation of a single turnstile as a security measure, describing it as 'security theater' - a visible but largely ineffective security measure that creates an illusion of safety. The author reflects on the limitations and potential ineffectiveness of such security measures.

SBCL (Steel Bank Common Lisp) is a high-performance Common Lisp compiler that is free, open-source, and suitable for a wide range of applications, from research projects to large-scale commercial software development.

The article explores how our Stone Age brains and habits have adapted to modern technologies, often leading to counterproductive behaviors and cognitive biases. It examines the mismatch between our evolutionary programming and the rapid technological advancements of the modern era.

Verge Genomics is a biopharmaceutical company leveraging artificial intelligence and machine learning to accelerate drug discovery and development for neurological diseases. The company is hiring for various roles across engineering, science, and operations to support its mission of transforming the way new medicines are brought to patients.

This article provides an update on the Uplift project, which aims to improve the quality of life for low-income communities. It discusses the progress made in various initiatives, including affordable housing, job training, and community engagement programs.

DreamRecorder.ai is an AI-powered tool that helps users record, analyze, and interpret their dreams. The platform offers features such as automatic dream transcription, dream analysis, and personalized insights to help users better understand their subconscious thoughts and experiences.

Hi. I'm looking for a programmable watch with wifi. Ideally I should be able to write custom programs/apps for the watch to display whatever I want to on them (e.g., make the watch make an https call to a server, receive json and render accordingly; allow the watch to receive "notifications" from the server)

Also, ideally, no requirement of a smartphone to send-receive data (it's ok to need a smartphone for the initial setup of the watch, though). I know about Pebble, but it doesn't have wifi. I know about some Garmins with wifi but for the kind of apps I want to write, the communication between the watch and the server has to be mediated by a phone. Also, correct me if I'm wrong, I don't want to pay $100/year just to be able to use my custom app in apple watches. I usually don't trust Google either (e.g., they discontinue everything in a blink of an eye).

So, what are my options?

Report [pdf]: https://content.forensic-architecture.org/wp-content/uploads...

The article discusses the recent Breakthrough Prize in Fundamental Physics awarded to four theoretical physicists for their work on black holes and gravitational waves. It highlights the significance of their contributions to our understanding of these important phenomena in cosmology and astrophysics.

PayPal is reportedly in advanced talks to acquire Stripe, a leading digital payments company, in a deal that could be worth over $50 billion. The acquisition, if it goes through, would significantly expand PayPal's presence in the online payments market and allow it to better compete with other fintech players.

Hi HN! I'm Prithvi—my co-founder Frances and I launched Promptless almost a year ago here (https://news.ycombinator.com/item?id=43092522). It's an AI teammate that watches your workflows—code changes, support tickets, Slack threads, etc.—and automatically drafts doc updates when it spots something that should be documented.

Frances and I really appreciated the feedback from our first launch. Today we’re launching Promptless 1.0, which addresses our biggest learnings from the last 12 months.

I also made it way easier to try it out. You can tag @promptless on any open-source Github PR or Issue with a doc update request, and Promptless will create a fork and open a PR for your docs to help. Feel free to use our own docs as a playground: https://github.com/Promptless/docs/issues

Or, you can sign up at https://promptless.ai to get free access for your own docs for the next 30 days. Here's a demo video: https://youtu.be/IWwimHCEY7Y

For me, the coolest part of the last year has been seeing how users got creative with Promptless. One user has Promptless listening in to all their Slack Connect channels, so whenever they answer a customer question, Promptless figures out if their docs should be updated and drafts an update if so. Another user has Promptless processing every customer meeting transcript and updating their internal docs after each meeting: customer dashboards, feature request pages, etc.

Some of the biggest things that are new with version 1.0:

- Automatically updating screenshots: this was by far our most requested feature. The need here was always clear. People would exclude screenshots from docs because they’d get stale quickly, even though they knew screenshots would be helpful to users. A year ago, we just couldn't ship a good enough solution, but given how much LLMs' visual grounding has improved in the last year, now we've got something we're proud of.

- Slop-free writing: The most common critique on early Promptless suggestions was that even though they were accurate, they could sound generic or verbose, or might just reek of AI slop. Promptless 1.0 is 3.5x better at this (measured by voice-alignment compared to what users actually published), through a combination of fine-tuned models, sub-agents, and alignment on user-defined preferences.

- Open-source program: We're especially proud of this—Promptless is now free for CNCF/Linux Foundation projects (reach out if you’re a maintainer!). You can take a look at how Promptless is supporting Vitess (a CNCF-graduated project) with their docs here: https://github.com/vitessio/website/commits

Check it out and let us know if you have any questions, feedback, or criticism!

It takes an input video and converts it into H.264/Opus RTP streams that you can blast at your video call systems (WebRTC, SFUs, etc.). It also injects network chaos like packet loss, jitter, and bitrate throttling to see how things break

It scales from 1 to n participants, depending on the compute and memory of the host system Best part? It’s packaged with Nix, so it builds the same everywhere (Linux, macOS, ARM, x86). No dependency hell

It supports both UDP (with a relay chain for Kubernetes) and WebRTC (with containerized TURN servers). Chaos spikes can be distributed evenly, randomly, or front/back-loaded for different test scenarios. To change this, just edit the values in a single config file

We returned to MIT last month to teach a revised version of Missing Semester, six years after the original debut (which has been extensively discussed on HN, in https://news.ycombinator.com/item?id=22226380 and https://news.ycombinator.com/item?id=34934216).

We’ve updated the course based on our personal experiences as well as major changes in the field (e.g., the proliferation of AI-powered developer tools) over the past several years. The 2026 course includes revised versions of four lectures from the previous course, and it adds five entirely new lectures:

- Development Environment and Tools

- Packaging and Shipping Code

- Agentic Coding

- Beyond the Code (soft skills)

- Code Quality

We’d love to hear any feedback from the HN community to improve the current or future iterations of the course. In particular, we’re curious to hear the community’s take on our inclusion of AI-related topics (e.g., dedicating an entire class to the topic of agentic coding; though we tried to counterbalance it with plenty of disclaimers, and a dedicated section on AI etiquette in Beyond the Code).

--Anish, Jon, and Jose