🛠️ All DevTools

[CLI Tool] A maintained, feature-rich and performance oriented, neofetch like system information tool.

[Other] Show HN: Sheet Ninja – Google Sheets as a CRUD Back End for Vibe Coders

[Other] Lat.md: Agent Lattice: a knowledge graph for your codebase, written in Markdown

[Other] TreeTrek – A raw Git repository viewer web app

[Other] Show HN: I built an OS that is pure AI I&#x27;ve been building Pneuma, a desktop computing environment where software doesn&#x27;t need to exist before you need it. There are no pre-installed applications. You boot to a blank screen with a prompt. You describe what you want: a CPU monitor, a game, a notes app, a data visualizer and a working program materializes in seconds. Once generated, agents persist. You can reuse them, they can communicate with each other through IPC, and you can share them through a community agent store. The idea isn&#x27;t that everything is disposable. It&#x27;s that creation is instant and the barrier to having exactly the tool you need is just describing it.<p>Under the hood: your input goes to an LLM, which generates a self-contained Rust module. That gets compiled to WebAssembly in under a second, then JIT-compiled and executed in a sandboxed Wasmtime instance. Everything is GPU-rendered via wgpu (Vulkan&#x2F;Metal&#x2F;DX12). If compilation fails, the error is automatically fed back for correction. ~90% first-attempt success rate.<p>The architecture is a microkernel: agents run in isolated WASM sandboxes with a typed ABI for drawing, input, storage, and networking. An agent crash can&#x27;t bring down the system. Agents can run side by side, persist to a local store, and be shared or downloaded from the community store.<p>Currently it runs as a desktop app on Linux, macOS, and Windows. The longer-term goal is to run on bare metal and support existing ARM64 binaries alongside generated agents. A full computing environment where AI-generated software and traditional applications coexist.<p>Built entirely in Rust.<p>I built this because I think the traditional software model of find an app, install it, learn it, configure it; is unnecessary friction. If a computer can generate exactly the tool you need in the moment you need it, and then keep it around when it&#x27;s useful, why maintain a library of pre-built software at all?<p>Free tier available (no credit card). There&#x27;s a video on the landing page showing it in action.<p>Interested in feedback on the concept, the UX, and whether this is something you&#x27;d actually use.

[Other] OpenCiv1 – open-source rewrite of Civ1

[Other] Spanish legislation as a Git repo

[Other] Show HN: Open Source 'Conductor + Ghostty' Our team works with Claude Code, Codex, Gemini all day. We love Ghostty, but wanted something where we could work in multiple worktree at once and have multiple agents run.<p>We decided to open source the internal team we use. Hope you might find it useful. Freel free to contribute or fork.<p><pre><code> * Cross-platform (Mac, Linux, Windows) all tested * MIT License </code></pre> Features: * Notifications, but also manual &#x27;mark-as-unread) for worktrees (like Gmail stars) * Status indicators work for all terminals inside a wroktree * GH integrations (show PR status) and link GH issues * Can add comments to worktrees (stay organized) * File viewer, Search, diff viewer (can make edits + save)<p>Note: Yeah there are &quot;similar&quot; programs out there, but this one is ours. But I&#x27;m happy if our software works for you too!

[Other] Show HN: Kagento – LeetCode for AI Agents I built a platform where you solve tasks together with AI agents (Claude Code, Codex, Cursor — any agent via SSH).<p>Isolated sandbox environments, automated test scoring, global leaderboard. Tasks range from easy (AI one-shots it) to hard (requires human help).<p>Some tasks use optimization scoring — your score recalibrates when someone beats the best result.<p>Built it in 6 days as a solo founder. 100% of code written with Claude Code and Codex. Stack: Go, Next.js, K8s, Supabase, Stripe.

[Other] Namespace: We've raised $23M to build the compute layer for code

[Other] Show HN: Anvil – Desktop App for Spec Driven Development Very excited to share Anvil. I built Anvil to take back control when working with parallel coding agents. It comes with one click worktree isolation, and first class spec support.<p>Claude Code and similar coding TUIs are very eager to get into writing code, even before their human baby sitter fully understands the implication of what they are about to build.<p>The core insight with Anvil is that it is much easier to write high quality code which matches the author&#x27;s intent after iterating on an external plan with your agent.<p>Align on the architecture, implementation, and verification strategy in a markdown file, then execution is pretty straightforward.<p>This is not a new concept, but the user experience within TUI apps for this workflow is pretty shit. Claude creates non-semantic plan names like &quot;aquamarine-owl&quot; that are trapped within a single agent context. Spinning up multiple agents to check on different aspects of a plan is annoying and slow, and managing terminal tabs is pure hell.<p>So I built anvil, this is a fully open source (MIT license) project.

[Other] Show HN: Open-Source Animal Crossing–Style UI for Claude Code Agents We posted here on Monday and got some great feedback. We’ve implemented a few of the most requested updates:<p>- iMessage channel support (agents can text people and you can text agents) Other channels are simple to extend. - A built-in browser (agents can navigate and interact with websites) - Scheduling (run tasks on a timer &#x2F; cron&#x2F; in the future) - Built in tunneling so that the agents can share local stuff with you over the internet - More robust MCP and Skills support so anyone can extend it - Auto approval for agent requests<p>If you didn’t see the original:<p>Outworked is a desktop app where Claude Code agents work as a small “team.” You give it a goal, and an orchestrator breaks it into tasks and assigns them across agents.<p>Agents can run in parallel, talk to each other, write code, and now also browse the web and send messages.<p>It runs locally and plugs into your existing Claude Code setup.<p>Would love to hear what we should build next. Thanks again!

[DevOps] Teams-first Multi-agent orchestration for Claude Code

[DevOps] Show HN: LLM-Gateway – Zero-Trust LLM Gateway I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks &#x2F;v1&#x2F;chat&#x2F;completions. Single Go binary, one YAML config file, no infrastructure.<p>It does the things you&#x27;d expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover.<p>The part I think is most interesting is the network layer. The gateway and backends communicate over zrok&#x2F;OpenZiti overlay networks... reach a GPU box behind NAT, expose the gateway to clients, put components anywhere with internet connectivity behind firewalls... no port forwarding, no VPN. Zero-trust in both directions. Most LLM proxies solve the API translation problem. This one also solves the network problem.<p>Apache 2.0. <a href="https:&#x2F;&#x2F;github.com&#x2F;openziti&#x2F;llm-gateway" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;openziti&#x2F;llm-gateway</a><p>I work for NetFoundry, which sponsors the OpenZiti project this is built on.

[Other] Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.

[Monitoring/Observability] Show HN: Grafana TUI – Browse Grafana dashboards in the terminal I built a terminal UI for browsing Grafana dashboards. It connects to any Grafana instance and lets you explore dashboards without leaving the terminal.<p>It renders the most common panel types (time series, bar charts, gauges, heatmaps etc.). You can change the time range, set dashboard variables and filter series.<p>I built this because I spend most of my day in the terminal and wanted a quick way to glance at dashboards without switching to the browser. It&#x27;s not perfect by any means, but it&#x27;s a nifty and useful tool.<p>Built with Go, Bubble Tea, ntcharts, and Claude (of course). You can install it via Homebrew:<p><pre><code> brew install lovromazgon&#x2F;tap&#x2F;grafana-tui </code></pre> ... and try it out against Grafana&#x27;s public playground:<p><pre><code> grafana-tui --url https:&#x2F;&#x2F;play.grafana.org</code></pre>

[Other] Telnyx package compromised on PyPI <a href="https:&#x2F;&#x2F;github.com&#x2F;team-telnyx&#x2F;telnyx-python&#x2F;issues&#x2F;235" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;team-telnyx&#x2F;telnyx-python&#x2F;issues&#x2F;235</a><p><a href="https:&#x2F;&#x2F;www.aikido.dev&#x2F;blog&#x2F;telnyx-pypi-compromised-teampcp-canisterworm" rel="nofollow">https:&#x2F;&#x2F;www.aikido.dev&#x2F;blog&#x2F;telnyx-pypi-compromised-teampcp-...</a>

[Other] Show HN: Fio: 3D World editor/game engine – inspired by Radiant and Hammer A liminal brush-based CSG editor and game engine with unified (forward) renderer inspired by Radiant and Worldcraft&#x2F;Hammer<p>Compact and lightweight (target: Snapdragon 8CX, OpenGL 3.3)<p>Real-time lighting with stencil shadows without the need for pre-baked compilation

[Other] Show HN: Layerleak – Like Trufflehog, but for Docker Hub

[Database] Show HN: Turbolite – a SQLite VFS serving sub-250ms cold JOIN queries from S3 I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster.<p>It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet.<p>I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired by turbopuffer’s ground-up S3-native design. <a href="https:&#x2F;&#x2F;turbopuffer.com&#x2F;blog&#x2F;turbopuffer" rel="nofollow">https:&#x2F;&#x2F;turbopuffer.com&#x2F;blog&#x2F;turbopuffer</a><p>The use case I had in mind is lots of mostly-cold SQLite databases (database-per-tenant, database-per-session, or database-per-user architectures) where keeping a separate attached volume for inactive database feels wasteful. turbolite assumes a single write source and is aimed much more at “many databases with bursty cold reads” than “one hot database.”<p>Instead of doing naive page-at-a-time reads from a raw SQLite file, turbolite introspects SQLite B-trees, stores related pages together in compressed page groups, and keeps a manifest that is the source of truth for where every page lives. Cache misses use seekable zstd frames and S3 range GETs for search queries, so fetching one needed page does not require downloading an entire object.<p>At query time, turbolite can also pass storage operations from the query plan down to the VFS to frontrun downloads for indexes and large scans in the order they will be accessed.<p>You can tune how aggressively turbolite prefetches. For point queries and small joins, it can stay conservative and avoid prefetching whole tables. For scans, it can get much more aggressive.<p>It also groups pages by page type in S3. Interior B-tree pages are bundled separately and loaded eagerly. Index pages prefetch aggressively. Data pages are stored by table. The goal is to make cold point queries and joins decent, while making scans less awful than naive remote paging would.<p>On a 1M-row &#x2F; 1.5GB benchmark on EC2 + S3 Express, I’m seeing results like sub-100ms cold point lookups, sub-200ms cold 5-join profile queries, and sub-600ms scans from an empty cache with a 1.5GB database. It’s somewhat slower on normal S3&#x2F;Tigris.<p>Current limitations are pretty straightforward: it’s single-writer only, and it is still very much a systems experiment rather than production infrastructure.<p>I’d love feedback from people who’ve worked on SQLite-over-network, storage engines, VFSes, or object-storage-backed databases. I’m especially interested in whether the B-tree-aware grouping &#x2F; manifest &#x2F; seekable-range-GET direction feels like the right one to keep pushing.