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[Other] Show HN: AI SDLC Scaffold, repo template for AI-assisted software development I built an open-source repo template that brings structure to AI-assisted software development, starting from the pre-coding phases: objectives, user stories, requirements, architecture decisions.<p>It&#x27;s designed around Claude Code but the ideas are tool-agnostic. I&#x27;ve been a computer science researcher and full-stack software engineer for 25 years, working mainly in startups. I&#x27;ve been using this approach on my personal projects for a while, then, when I decided to package it up as scaffold for more easy reuse, I figured it might be useful to others too. I published it under Apache 2.0, fork it and make it yours.<p>You can easily try it out: follow the instructions in the README to start using it.<p>The problem it solves:<p>AI coding agents are great at writing code, but they work much better when they have clear context about what to build and why. Most projects jump straight to implementation. This scaffold provides a structured workflow for the pre-coding phases, and organizes the output so that agents can navigate it efficiently across sessions.<p>How it works:<p>Everything lives in the repo alongside source code. The AI guidance is split into three layers, each optimized for context-window usage:<p>1. Instruction files (CLAUDE.md, CLAUDE.&lt;phase&gt;.md): always loaded, kept small. They are organized hierarchically, describe repo structure, maintain artifact indexes, and define cross-phase rules like traceability invariants.<p>2. Skills (.claude&#x2F;skills&#x2F;SDLC-*): loaded on demand. Step-by-step procedures for each SDLC activity: eliciting requirements, gap analysis, drafting architecture, decomposing into components, planning tasks, implementation.<p>3. Project artifacts: structured markdown files that accumulate as work progresses: stakeholders, goals, user stories, requirements, assumptions, constraints, decisions, architecture, data model, API design, task tracking. Accessed selectively through indexes.<p>This separation matters because instruction files stay in the context window permanently and must be lean, skills can be detailed since they&#x27;re loaded only when invoked, and artifacts scale with the project but are navigated via indexed tables rather than read in full.<p>Key design choices:<p>Context-window efficiency: artifact collections use markdown index tables (one-line description and trigger conditions) so the agent can locate what it needs without reading everything.<p>Decision capture: decisions made during AI reasoning and human feedback are persisted as a structured artifact, to make them reviewable, traceable, and consistently applied across sessions.<p>Waterfall-ish flow: sequential phases with defined outputs. Tedious for human teams, but AI agents don&#x27;t mind the overhead, and the explicit structure prevents the unconstrained &quot;just start vibecoding&quot; failure mode.<p>How I use it:<p>Short, focused sessions. Each session invokes one skill, produces its output, and ends. The knowledge organization means the next session picks up without losing context. I&#x27;ve found that free-form prompting between skills is usually a sign the workflow is missing a piece.<p>Current limitations:<p>I haven&#x27;t found a good way to integrate Figma MCP for importing existing UI&#x2F;UX designs into the workflow. Suggestions welcome.<p>Feedback, criticism, and contributions are very welcome!

[Other] AI Team OS – Turn Claude Code into a Self-Managing AI Team

[CLI Tool] purl: a curl-esque CLI for making HTTP requests that require payment

[Other] Linux Applications Programming by Example: The Fundamental APIs (2nd Edition)

[Other] Show HN: Red Grid Link – peer-to-peer team tracking over Bluetooth, no servers I go on a lot of backcountry trips where I barely get cell service. If my group splits, nobody knows knows where anyone is until you regroup at camp or at your destination. You can buy Garmin radios or try to set up an ATAK, but ATAK is Android-only and assumes you have a TAK Server running somewhere to make use of all of the functionality. Cool tools themselves, but expensive to set up correctly. I just wanted two iPhones to share their location directly over Bluetooth when cell coverage was lacking.<p>Red Grid Link does that. Start a session, and anyone nearby running the app shows up on your offline map. When they walk out of range their marker stays as a &quot;ghost&quot; that slowly fades.<p>The hard part was making sync reliable over BLE. The connections drop all the time. Someone turns a corner, walks behind a vehicle, whatever. I built a CRDT sync layer (LWW Register + G-Counter) so there&#x27;s never merge conflicts. Each update is just under 200 bytes (from what I have tested so far). When a user&#x2F;teammate disappears the app does exponential backoff from 2 to 30 seconds before giving up and marking them as a ghost.<p>Everything is encrypted (AES-256-GCM, ECDH P-256 key exchange per peer pair). Sessions can require a PIN or QR code to join. It also offers offline topo maps with MGRS grid coordinates, same system as in my other app, Red Grid MGRS.<p>The app is free, and I&#x27;m looking for some honest feedback from other real-world users. Let me know if you have any questions!

[API/SDK] Show HN: Agent Use Interface (AUI) – let users bring their own AI agent As I started building AI integrations, I came to realize that for many projects, the the best agentic experience is one that simply enables the user&#x27;s personal agent to take actions within your app.<p>The existing options like MCP or A2A are quite involved and for simple apps that are already URL parameter driven, those options seem like overkill.<p>This led me to prototype the Agent Use Interface (AUI) spec.<p>The idea is simple: a lightweight, open spec that makes any app &quot;agent-navigable.&quot; You drop an XML file at &#x2F;agents&#x2F;aui.xml that describes the URL-parameter-driven actions your app supports, like search, create, filter, etc. And that way any AI agent can read aui.xml, understand what&#x27;s possible, and construct URLs on behalf of the user.<p>That&#x27;s it. No SDK. No auth flow. No API keys. Just a catalog of what your app can do, written for LLMs to understand.<p>Is there something like this that already exists? Is the approach too simple to be useful?<p>If your app already supports Universal Links or is otherwise URL parameter driven you could probably add support for AUI in an afternoon.<p>See a working example: <a href="https:&#x2F;&#x2F;habittiles.app&#x2F;agents&#x2F;aui.xml" rel="nofollow">https:&#x2F;&#x2F;habittiles.app&#x2F;agents&#x2F;aui.xml</a>

[Other] Show HN: We built a terminal-only Bluesky / AT Proto client written in Fortran Yes, that Fortran.

[Other] OpenCode – Open source AI coding agent

[Other] NumKong: 2'000 Mixed Precision Kernels for All

[Other] The way CTRL-C in Postgres CLI cancels queries is incredibly hack-y

[CLI Tool] Show HN: Sonar – A tiny CLI to see and kill whatever's running on localhost

[Other] Android developer verification: Balancing openness and choice with safety

[Other] From Oscilloscope to Wireshark: A UDP Story (2022)

[Other] NanoGPT Slowrun: 10x Data Efficiency with Infinite Compute

[Other] Show HN: Oku – One tab to filter out noise from feeds and content sources Hey everyone,<p>For a while now I&#x27;ve been frustrated with how I was &#x27;experiencing&#x27; the internet. From opening articles and getting bombarded with popups, banners and ads to opening feeds and seeing so much AI spam and algorithm-based content I was not interested in. If you add tab hopping to that, you get how it all becomes a confusing and not-so productive experience.<p>Oku.io is my solution to this problem. It&#x27;s a tool that allows you to create organized, clean boards with the feeds and content you&#x27;re interested in (HN Show&#x2F;Front&#x2F;Ask, ProductHunt, Reddit, RSS, and a lot more), and see them either in a grid to monitor all at once, in a focus view where you visualize one panel at a time, or in a daily&#x2F;weekly email digest that extracts the top content from each panel.<p>I&#x27;ve been actively using it and I&#x27;m happy with how it turned out. I find myself scrolling and switching tabs way less, and I feel like I&#x27;m not missing anything important anymore. Both for my work-related stuff and for my personal interests.<p>If you check it out, I&#x27;d love to hear your feedback. I&#x27;m very keen on continuing to improve it.

[Other] Google details new 24-hour process to sideload unverified Android apps <a href="https:&#x2F;&#x2F;android-developers.googleblog.com&#x2F;2026&#x2F;03&#x2F;android-developer-verification.html" rel="nofollow">https:&#x2F;&#x2F;android-developers.googleblog.com&#x2F;2026&#x2F;03&#x2F;android-de...</a>

[Other] Vectorization of Verilog Designs and its Effects on Verification and Synthesis

[Other] Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

[Other] macOS 26 breaks custom DNS settings including .internal One of those &#x27;woke up to MacOS updates&#x27; and finding none of my dockers are reachable via dnsmasq (which I use), and low and behold, an update silently breaks custom dns resolution. Hopefully Apple will listen to the bug report I&#x27;ve made. Hold off on updating if you use this…

[API/SDK] Hyper-optimized reverse geocoding API