🛠️ Hacker News Tools

[Other] The Best Engineers Write Less Code

[Other] Show HN: I built a tool to auto-accept AI slop and bigtech devs loves it So, you know how bigtech gives nearly unlimited credits for coding tools and in the same time put a huge admin whitelist of what commands are allowed?<p>So, instead of becoming a 100x engineers, you (including me) simply become a multi-window-enter-clicker<p>I build a tool to solve this. It works locally, using OCR finds the &quot;run&quot; (or any other label you put e.g. accept, allow, fetch etc. ) and just clicks this button.<p>Originally this was a tool for me and my team, but people seamed to love it so much, they encouraged me to share with you.<p>I do understand that workflows in each bigtech company is different, so what worked for us !-&gt; will work for you. So if you are interested in using this or have any question, please feel free to reach out, open issues and prs.<p>lets make AI slop inevitable! <a href="https:&#x2F;&#x2F;github.com&#x2F;Alcray&#x2F;SlopeAutoAcceptor" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Alcray&#x2F;SlopeAutoAcceptor</a>

[Other] DeepSWE: A contamination-free benchmark for long-horizon coding agents

[Other] Show HN: TUI to keep track of local GSD (get-shit-done) projects GSD is great for project management making it possible to run multiple projects at once. My multi-tasking skills can&#x27;t keep up at the same pace, hence a utility to help me keep track of the projects.<p>cargo install gsd-meta-manager<p>TUI for: - GSD milestone and phase progress - git history - open milestones - backlog - browser for the GSD markdown artifacts - tmux support to quickly jump into the project&#x27;s running claude instance<p>All feedback, improvements, PR and questions are welcome.

[Other] Xiaomi MiMo-v2.5 Series API Permanent Price Reduction Up to 99%

[Other] Show HN: NeuroFlow 55.8x video inference speedup for Vision Transformers PyTorch

[Other] Avoid Using "< [Cdata[ ]]>" in RSS

[DevOps] Launch HN: Minicor (YC P26) – Windows desktop automations at scale Hey we’re Faiz and Saheed and we built Minicor so AI companies who need to integrate to desktop systems with no API can quickly build scalable desktop RPAs. Demo: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=MD0GHZIJ1cw" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=MD0GHZIJ1cw</a><p>We were working on non-RPA integrations when a customer promised to sign a deal in 2 days if we could unblock a sale of theirs that involved integrating with a clinic’s Windows based medical record system. We didn’t know it at the time but it turns out that building desktop RPAs at scale is extremely difficult because scripting is hard (learning the system, defining the automation, UIs changing constantly), orchestration is hard (is the VM up? queuing, parallelizing) and debugging is hard (zero observability, false positives, cascading failures). 30%+ failure rates are not uncommon. At scale we’ve seen cases of failed RPAs leading to thousands of support tickets a month.<p>To solve the problems we were facing, we built an MCP that Claude Code&#x2F;Codex can use to navigate a virtual machine running desktop software with Python to create RPA workflows. The RPA workflows run as Python scripts for speed, cost, and determinism. These workflows can be triggered by API following any input&#x2F;output schema specified, with video replays and logs stored with each run. The MCP can debug RPAs and make changes to the underlying code, all of which are version controlled. We also built tools for cloning VMs for parallelizing RPAs, and handling 2FA&#x2F;OTP challenges. Plus since workflows are code based: we were also able to add triggers for Slack notifications, human-in-the-loop steps, or call an LLM to verify the state of a VM by passing a screenshot.<p>Would love to hear your feedback and if you have any RPA horror stories! (:

[Other] Coalton is an efficient, statically typed Lisp with ideas from Haskell and OCaml

[Other] GitHub Actions down again today

[Other] Incident with Actions and Pages

[Other] BadHost – CVE-2026-48710: Starlette Host-Header Auth Bypass <a href="https:&#x2F;&#x2F;arstechnica.com&#x2F;information-technology&#x2F;2026&#x2F;05&#x2F;millions-of-ai-agents-imperiled-by-critical-vulnerability-in-open-source-package&#x2F;" rel="nofollow">https:&#x2F;&#x2F;arstechnica.com&#x2F;information-technology&#x2F;2026&#x2F;05&#x2F;milli...</a>

[Other] Orchestrating AI code review at scale

[Other] Show HN: skills-for-humanity – 171 structured reasoning skills for Claude Code

[Other] Logseq Doctor: Heal your flat old Markdown files before importing them to Logseq

[Other] Show HN: Pgcraft – a lazygit-style TUI for Postgres

[Other] Using AI to write better code more slowly

[DevOps] Using Tailscale with an OrbStack VM on macOS Here&#x27;s an example of how to build an Ubuntu VM using OrbStack on macOS and then connect to the VM through Tailscale SSH using an auth key stored in Apple Keychain.<p>For example, I can create a VM on my Mac mini at home that hosts a git repo or even a Forgejo server. A colleague in my Tailnet can then connect to this VM to clone, push or pull source code changes from a coffeeshop or airliner while not exposing the rest of my Mac mini.

[Other] Show HN: OpenBrief – Local-first video downloader/summarizer OpenBrief is basically a GUI for yt-dlp with some AI on top — paste a link, it downloads locally, and transcription and voice generation run with local AI on your machine. Summaries and chat over the transcript use an LLM, which is bring-your-own-key for now. It&#x27;s open source and free.

[Other] Riscrithm – An intuitive RISC-V assembler and optimizer coded in Go