🛠️ All DevTools

[IDE/Editor] Loopmaster – Livecoding Music IDE

[Other] We stopped AI bot spam in our GitHub repo using Git's –author flag

[CLI Tool] "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/

[Other] Show HN: Auto-identity-remove – Automated data broker opt-out runner for macOS

[Other] NASA still maintains some of the Voyager spacecraft code from the 70s era

[Other] Show HN: Pdf2md – 10MB Rust PDF-to-Markdown Tool with a Free API

[Code Quality] Show HN: How to Kill the Dead Internet Ok, so maybe &quot;how to revive the internet&quot; would be more accurate, but if you&#x27;re reading this, I got your attention, right? Here&#x27;s why I want you to read on: I built a free extension, D-slop, to disincentivize anyone from posting AI writing, and eventually images and video as well, on the internet.<p>For writing, it checks known vocab and punctuation tells, as well as subtler tells related to cadence, and assigns it a score subject to an adjustable threshold. If the text fails, users have the option to flag offending text, hide it, or block the page entirely (with the option to see anyway).<p>For media, it&#x27;s admittedly fairly weak, as it relies on C2PA metadata which is stripped from all of the social media sites where it would be most helpful. (Anyone else have chronically online boomer parents continually gobbling up slop like it&#x27;s real information?)<p>I have a D-slop+ version in the works that should be able to handle the media itself, but it&#x27;s going to have to make API calls to have real teeth, which means I can&#x27;t offer it for free. If this extension validates the concept, I&#x27;m happy to build it for y&#x27;all.<p>Yes, I vibe-coded it, but an ancillary bonus to the project accrued when it inspired me to cook dinner listening to Metallica&#x27;s &quot;Fight Fire with Fire,&quot; which in turn brought my 5 y&#x2F;o running into the kitchen with every musical instrument in the house for an impromptu karaoke speed metal session.<p>It&#x27;s MIT license open-source, full brief at <a href="https:&#x2F;&#x2F;github.com&#x2F;jared-the-automator&#x2F;d-slop" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;jared-the-automator&#x2F;d-slop</a>; This forum is full of people smarter than me, so I&#x27;m open to suggestions.

[Other] Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep Hey HN! We (Stephan and Thomas) recently open-sourced Semble. We kept running into the same problem while using Claude Code on large codebases: when the agent can&#x27;t find something directly, it falls back to grep, reading full files or launching subagents. This uses a lot of tokens, and often still misses the relevant code. There are existing tools for this, but they were either too slow to index on demand, needed API keys, or had poor retrieval quality.<p>Semble is our solution for this. It combines static Model2Vec embeddings (using our latest static model: potion-code-16M) with BM25, fused via RRF and reranked with code-aware signals. Everything runs on CPU since there&#x27;s no transformers involved. On our benchmark of ~1250 query&#x2F;document pairs across 63 repos and 19 languages, it uses 98% fewer tokens than grep+read and reaches 99% of the retrieval quality of a 137M-parameter code-trained transformer, while being ~200x faster.<p>Main features:<p>- Token-efficient: 98% fewer tokens than grep+read<p>- Fast: ~250ms to index a typical repo on our benchmark, ~1.5ms per query on CPU (very large repos may take longer)<p>- Accurate: 0.854 NDCG@10, 99% of the best transformer setup we tested<p>- MCP server: drop-in for Claude Code, Cursor, Codex, OpenCode<p>- Zero config: no API keys, no GPU, no external services<p>Install in Claude Code with: claude mcp add semble -s user -- uvx --from &quot;semble[mcp]&quot; semble<p>Or check our README for other installation instructions, benchmarks, and methodology:<p>Semble: <a href="https:&#x2F;&#x2F;github.com&#x2F;MinishLab&#x2F;semble" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;MinishLab&#x2F;semble</a><p>Benchmarks: <a href="https:&#x2F;&#x2F;github.com&#x2F;MinishLab&#x2F;semble&#x2F;tree&#x2F;main&#x2F;benchmarks" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;MinishLab&#x2F;semble&#x2F;tree&#x2F;main&#x2F;benchmarks</a><p>Model: <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;minishlab&#x2F;potion-code-16M" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;minishlab&#x2F;potion-code-16M</a><p>Let us know if you have any feedback or questions!

[Other] A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.

[Other] End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

[Other] The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.

[Other] When can the C++ compiler devirtualize a call?

[Other] kharp – k version 3 Language Interpreter in C#

[Other] Grafana Labs internal source code accessed

[Other] Show HN: Serene Bach – a Go weblog engine that runs as CGI or HTTP I originally made Serene Bach in the 2000s as a weblog engine written in Perl CGI. I rebuilt it from scratch in Go as a single binary that can run either as a CGI program or as a normal HTTP server.<p>I know CGI is generally considered legacy technology now, but I still rely on it for shared hosting. In this version, I added Markdown support, a responsive default theme, Open Graph image generation, and static output generation.<p>It is still in beta, but the repository includes a Docker image published on GHCR, documentation, and a local quick start. I&#x27;d appreciate feedback from anyone interested in small self-hosted publishing tools, especially if you still care about shared hosting or CGI-style deployment.

[Other] The latest X algorithm has been published to GitHub

[Other] Zerostack – A Unix-inspired coding agent written in pure Rust

[Other] Show HN: Got ghosted by tech companies so I built a tool to track ghost jobs Last year I was looking for a new role. I sent out applications, did the prep, waited. What came back was mostly nothing. Not rejection emails, just silence. The job listings I&#x27;d applied to stayed live for weeks. Some for months.<p>As a software engineer, I decided to dig into it properly. I built a system to continuously track job postings across companies, logging posting dates and measuring how long roles stay open before closing or don&#x27;t. After 35,000+ listings across 200+ companies, some patterns are hard to ignore. Some listings have been open for 700+ days at companies you&#x27;d recognize. Others post 90% of their open roles within a single month, a signal that&#x27;s harder to fake than a press release.<p>I published two initial insight pages based on this work: - Which companies are posting most aggressively right now - Job listings that have been open for over a year<p>What I didn&#x27;t expect is that the same signals useful for detecting ghost jobs also say something broader about a company&#x27;s hiring momentum, recruiting intensity, pipeline health, where talent bottlenecks might exist. I&#x27;m not sure yet where this leads, but I&#x27;ll keep expanding the dataset and publishing more insights as I go.<p>Would genuinely love feedback on the methodology, interpretation, or obvious blind spots in the data.

[Other] Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.

[Other] Show HN: Strava for AI coding – analytics on your Copilot/Claude/Codex usage