🛠️ All DevTools

[CLI Tool] Show HN: td – a CLI to manage tasks, sessions, and worktrees for agentic coding Hi everyone! I built this because I wanted a little bit more organization around my Claude sessions, worktrees and plans while staying in the terminal and not relying on another SaaS tool. Since it's a command line tool, the added bonus is that Claude can use `td` directly. The td calendar was just a fun add-on but the Claude session stats have been pretty interesting! Let me know what you think!

[Other] Show HN: Stop paying for Dropbox/Google Drive, use your own S3 bucket instead Last week SWYX nerd-sniped me into building an Open-source Dropbox.<p>Here is Locker: the ultimate open-source Google Drive&#x2F;box&#x2F;Dropbox alternative - Provider agnostic (S3, R2, vercel blob, local) - BYOB (Bring your own bucket) - Virtual file system - QMD Search plugin

[Other] We found an undocumented bug in the Apollo 11 guidance computer code

[CLI Tool] mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

[Other] Show HN: Ghost Pepper – Local hold-to-talk speech-to-text for macOS I built this because I wanted to see how far I could get with a voice-to-text app that used 100% local models so no data left my computer. I&#x27;ve been using a ton for coding and emails. Experimenting with using it as a voice interface for my other agents too. 100% open-source MIT license, would love feedback, PRs, and ideas on where to take it.

[Other] Show HN: TTF-DOOM – A raycaster running inside TrueType font hinting TrueType fonts have a hinting VM that grid-fits glyphs. It has a stack, storage area, conditionals, function calls, and it turns out it&#x27;s Turing-complete. So I built a raycasting engine in the hinting bytecode.<p>The glyph &quot;A&quot; in the font has 16 vertical bar contours. The hinting program reads player coordinates from font variation axes via GETVARIATION, does DDA ray marching against a tile map in the storage area, and repositions bar heights with SCFS. It ends up looking like a crude Wolfenstein-style view.<p>Small visuzlization: <a href="https:&#x2F;&#x2F;github.com&#x2F;4RH1T3CT0R7&#x2F;ttf-doom&#x2F;blob&#x2F;main&#x2F;docs&#x2F;media&#x2F;transform.gif" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;4RH1T3CT0R7&#x2F;ttf-doom&#x2F;blob&#x2F;main&#x2F;docs&#x2F;media...</a><p>About 6.5 KB of bytecode total - 13 functions, 795 storage slots, sin&#x2F;cos lookup tables.<p>JS handles movement, enemies, and shooting, then passes the coordinates to the font through CSS font-variation-settings. The font is basically a weird GPU.<p>The weirdest parts: - TrueType MUL does (a<i>b)&#x2F;64, not a</i>b. So 1*4=0. The DIV instruction is equally cursed. - No WHILE loops. Everything compiles to recursive FDEFs. FreeType limits call depth to ~64 frames. - SVTCA[0] is Y, SVTCA[1] is X. Of course.<p>There&#x27;s a small compiler behind this - lexer, parser, codegen - that turns a C-like DSL into TT assembly.<p>Demo GIF: <a href="https:&#x2F;&#x2F;github.com&#x2F;4RH1T3CT0R7&#x2F;ttf-doom&#x2F;blob&#x2F;main&#x2F;docs&#x2F;media&#x2F;demo.gif" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;4RH1T3CT0R7&#x2F;ttf-doom&#x2F;blob&#x2F;main&#x2F;docs&#x2F;media...</a><p>Live demo: <a href="https:&#x2F;&#x2F;4rh1t3ct0r7.github.io&#x2F;ttf-doom&#x2F;" rel="nofollow">https:&#x2F;&#x2F;4rh1t3ct0r7.github.io&#x2F;ttf-doom&#x2F;</a> (Chrome&#x2F;Edge, WASD+arrows, Space to shoot, Tab for debug overlay)<p>This is a DOOM-style raycaster, not a port of the original engine - similar to DOOMQL and the Excel DOOM. The wall rendering does happen in the font&#x27;s hinting VM though. Press Tab in the demo to watch the font variation axes change as you move.

[Other] Show HN: Meta-agent: self-improving agent harnesses from live traces We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces.<p>Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set.<p>An LLM judge scores unlabeled production traces as they stream.<p>A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy.<p>On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%.<p>We open-sourced meta-agent. It currently supports Claude Agent SDK, with more frameworks coming soon.<p>Try it here: <a href="https:&#x2F;&#x2F;github.com&#x2F;canvas-org&#x2F;meta-agent" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;canvas-org&#x2F;meta-agent</a>

[DevOps] Launch HN: Freestyle: Sandboxes for AI Coding Agents We’re Ben and Jacob, cofounders of Freestyle (<a href="https:&#x2F;&#x2F;freestyle.sh">https:&#x2F;&#x2F;freestyle.sh</a>). We’re building a cloud for Coding Agents.<p>For the first generation of agents it looked like workflows with minimal tools. 2 years ago we published a package to let AI work in SQL, at that time GPT-4 could write simple scripts. Soon after the first AI App Builders started using AI to make whole websites; we supported that with a serverless deploy system.<p>But the current generation is going much further, instead of minimal tools and basic serverless apps AI can utilize the full power of a computer (“sandbox”). We’re building sandboxes that are interchangeable with EC2s from your agents perspective, with bonus features:<p>1. We’ve figured out how to fork a sandbox horizontally without more than a 400ms pause in it. That&#x27;s not forking the filesystem, we mean forking the whole memory of it. If you’re half way down a browser page with animations running, they’ll be in the same place in all the forks. If you’re running a minecraft server every block and player will be in the same place on the forks. If you’re running a local environment and an error comes up in process that error will be there in all the forks. This works for snapshotting as well, you can save your place and come back weeks later.<p>2. Our sandboxes start in ~500ms.<p>Demo: <a href="https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;8b3d294d515442f296aecde1f42f5524" rel="nofollow">https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;8b3d294d515442f296aecde1f42f5524</a><p>Compared with other sandboxes, our goal is to be the most powerful. We support full Linux + hardware-virtualization, eBPF, Fuse, etc. We run full Debian with multiple users and we use a systemd init instead of runc. Whatever your AI expects to work on debian should work on these vms, and if it doesn’t send a bug report.<p>In order to make this possible, we’ve moved to our own bare metal racks. Early in our testing we realized that moving VMs across cloud nodes would not have acceptable performance properties. We asked Google Cloud and AWS for a quote on their bare metal nodes and found that the monthly cost was equivalent to the total cost of the hardware so we did that.<p>Our goal is to build the necessary infrastructure to replicate the human devloop on the massively multi-tenant scale of AI, so these VMs should be as powerful as the ones you’re used to, while also being available to provision in seconds.

[DevOps] Launch HN: Freestyle – Sandboxes for Coding Agents We’re Ben and Jacob, cofounders of Freestyle (<a href="https:&#x2F;&#x2F;freestyle.sh">https:&#x2F;&#x2F;freestyle.sh</a>). We’re building a cloud for Coding Agents.<p>For the first generation of agents it looked like workflows with minimal tools. 2 years ago we published a package to let AI work in SQL, at that time GPT-4 could write simple scripts. Soon after the first AI App Builders started using AI to make whole websites; we supported that with a serverless deploy system.<p>But the current generation is going much further, instead of minimal tools and basic serverless apps AI can utilize the full power of a computer (“sandbox”). We’re building sandboxes that are interchangeable with EC2s from your agents perspective, with bonus features:<p>1. We’ve figured out how to fork a sandbox horizontally without more than a 400ms pause in it. That&#x27;s not forking the filesystem, we mean forking the whole memory of it. If you’re half way down a browser page with animations running, they’ll be in the same place in all the forks. If you’re running a minecraft server every block and player will be in the same place on the forks. If you’re running a local environment and an error comes up in process that error will be there in all the forks. This works for snapshotting as well, you can save your place and come back weeks later.<p>2. Our sandboxes start in ~500ms.<p>Demo: <a href="https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;8b3d294d515442f296aecde1f42f5524" rel="nofollow">https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;8b3d294d515442f296aecde1f42f5524</a><p>Compared with other sandboxes, our goal is to be the most powerful. We support full Linux + hardware-virtualization, eBPF, Fuse, etc. We run full Debian with multiple users and we use a systemd init instead of runc. Whatever your AI expects to work on debian should work on these vms, and if it doesn’t send a bug report.<p>In order to make this possible, we’ve moved to our own bare metal racks. Early in our testing we realized that moving VMs across cloud nodes would not have acceptable performance properties. We asked Google Cloud and AWS for a quote on their bare metal nodes and found that the monthly cost was equivalent to the total cost of the hardware so we did that.<p>Our goal is to build the necessary infrastructure to replicate the human devloop on the massively multi-tenant scale of AI, so these VMs should be as powerful as the ones you’re used to, while also being available to provision in seconds.

[Other] Show HN: I built a 2-min quiz that shows you how bad you are at estimating I&#x27;ve gotten to the point in my career where I now make strategic decisions often (hiring, firing, choosing what equipment to go with, etc.), as well as in my personal life where I need to strongly weigh my options for a big purchase or investment. I found a not-so-surprising parallel between the two as these decisions &quot;resolved.&quot; Am I making good decisions or am I getting lucky?<p>Did some research, read some books, and realized I should get in the habit of tracking my decision process. That quickly turned into the idea that formed Convexly.<p>The landing page is a 10-question calibration quiz where you assign a confidence level to statements drawn from a rotating pool of 100 (working on making the pool larger) and you get a Brier score back instantly. No signup required, and you can share your scores right away.<p>If you find it interesting, you can create a free account where you can track your decisions with probability estimates, resolve them over time, and get calibration curves that show if you are over&#x2F;underconfident. From what I&#x27;ve seen so far, users are overconfident when they say they&#x27;re between 70-90% sure about something.<p>For the math: Beta-PERT distributions for the payoff modeling, Kelly criterion for the position sizing, signal detection theory for separating skill from randomness.<p>On the coding side: FastAPI with NumPy&#x2F;SciPy, frontend in Next.js and Supabase.<p>So far this has been a solo project of mine. If you want to see all the features use code SHOWHN for 30 days of full access, no credit card required.<p>Curious if anything about your score surprised you after taking the quiz.

[Other] Show HN: I just built a MCP Server that connects Claude to all your wearables Hey HN,<p>I built Pace, a Claude Connector that lets you connect all your wearables (Garmin, Polar, Whoop, 20+) with Claude.<p>You connect your devices once and can analyze your data with Claude. No Dashboard needed, just in natural language. I already use it everyday, especially the visualization tool in Claude makes this really cool to use.<p>Tools include: overview, sleep, training, activity, samples and trends.<p>Tech Stack: Python (FastMCP), Google Cloud Run, Google Cloud SQL (PostgreSQL) and Firebase<p>It is live and free to try (no Claude Pro&#x2F;MAX Plan needed)..<p>Would love feedback, especially from people who&#x27;ve built MCP servers or use wearables seriously.

[Other] Media scraper Gallery-dl is moving to Codeberg after receiving a DMCA notice

[Other] Show HN: Multi-agent coding assistant with a sandboxed Rust execution engine

[Other] Show HN: Open-source ontology – SEC fund filings Working on a schema for joining SEC fund filings across documents. The core problem: these filings describe the same fund in different formats and no standard exists for cross-document semantic queries.<p>Interested in feedback on the ontology design — especially from anyone working with fund data, XBRL, or FIBO.

[Other] Does coding with LLMs mean more microservices?

[Other] Show HN: jsoncompat – a library to detect/fuzz breaking changes in JSON schemas

[Other] Show HN: Gemma Gem – AI model embedded in a browser – no API keys, no cloud Gemma Gem is a Chrome extension that loads Google&#x27;s Gemma 4 (2B) through WebGPU in an offscreen document and gives it tools to interact with any webpage: read content, take screenshots, click elements, type text, scroll, and run JavaScript.<p>You get a small chat overlay on every page. Ask it about the page and it (usually) figures out which tools to call. It has a thinking mode that shows chain-of-thought reasoning as it works.<p>It&#x27;s a 2B model in a browser. It works for simple page questions and running JavaScript, but multi-step tool chains are unreliable and it sometimes ignores its tools entirely. The agent loop has zero external dependencies and can be extracted as a standalone library if anyone wants to experiment with it.

[Other] Show HN: ACE – A dynamic benchmark measuring the cost to break AI agents We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass&#x2F;fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational.<p>We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker.<p>Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean adversarial cost versus $1.15 for the next most resistant (GPT-5.4 Nano). The remaining four all fell below $1.<p>This is early work and we know the methodology is still going to evolve. We would love nothing more than feedback from the community as we iterate on this.

[Other] Show HN: Real-time AI (audio/video in, voice out) on an M3 Pro with Gemma E2B Related: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47653752">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47653752</a>

[CLI Tool] Running Google Gemma 4 Locally with LM Studio's New Headless CLI and Claude Code