Dev Systems
Tell HN: We modeled the cost of boilerplate (it's ~80% of the budget)
We spent the last month modeling software budgets to figure out why velocity often feels so low even with senior teams. The short answer seems to be structural: about 80% of engineering time goes to non-differentiating infrastructure (auth, pipelines, CRUD) rather than unique business logic.We call it the "Infrastructure Tax." We analyzed an anonymized $2.4M engineering spend, and honestly, the breakdown was depressing. Only about 20% of that budget went to features that actually diffe
Ask HN: How do solo founders find academic co-founders for STTR grants?
I am a solo software founder building an open-source AI pipeline for the HVAC industry. Specifically, I've bridged a Deep Reinforcement Learning agent (PyTorch) with a native physics solver (FEniCSx) to autonomously generate fatigue-resistant, 3D-printable elastocaloric heat exchangers.The software architecture and manufacturing constraints (0.2mm LPBF limit) are fully functional [1].However, to upgrade the physics from linear elasticity to true non-linear hyperelasticity/phase-field m
Show HN: Direct to silicon DLinear AI accelerator on the Sky130 open-source node
Hi HN, I have always been interested and inspired by the idea of speed in computing, which raises a logical question: why do we use general-purpose processors for tasks that require minimal latency and predictability? The question is interesting, so a couple of months ago I thought: can I make a DLinear-type time series model? DLinear is a simple but effective tool for time series analysis, to implement it directly into silicon using a PDK with an open Sky130.Well, it wasn't as easy as it s
Show HN: I tried writing an interactive novel and accidentally built a platform
A few months ago I tried to write an interactive fiction novel.It turned into a software project.As the story grew, managing the structure quickly became difficult: branches, conditions, narrative state… everything started getting messy.At some point I opened Visual Studio to try to solve the problem for myself. The initial idea was simple: separate the prose from the runtime logic that drives the story.That experiment slowly turned into a small ecosystem called iepub:• a structured format for i
Show HN: Neo – AI-powered native .NET desktop app generator
https://youtu.be/6OZxm7ZEVU0I spent a while building N.E.O. (Native Executable Orchestrator) – an AI-powered tool that turns natural language prompts into compiled, live, running .NET desktop applications. Think of it like ChatGPT Canvas or Claude Artifacts, but for native Windows apps. Not mockups or web previews — actual (optionally sandboxed) binaries.My core philosophy for this was frictionless setup. The tool requires absolutely no SDKs. All it needs is the standard .NET runt
Show HN: BitFun – An Agentic Development Environment (Rust and TypeScript)
Hi HN,We’re building BitFun, an open-source Agentic Development Environment (ADE).GitHub: https://github.com/GCWing/BitFunDocs: https://deepwiki.com/GCWing/BitFunBitFun explores a different way of working with AI during development.
Instead of treating AI as a chatbox attached to an editor, it treats AI as an agent that can collaborate with you across the whole development workflow.The system is built around an Agent architecture. Each user has an assistan
Show HN: I built a LLM human rights evaluator for HN (content vs. site behavior)
I built Observatory to automatically evaluate Hacker News front-page stories against all 31 provisions of the UN Universal Declaration of Human Rights — starting with HN because its human-curated front page is one of the few feeds where a story's presence signals something about quality, not just virality. It runs every minute: https://observatory.unratified.org. Claude Haiku 4.5 handles full evaluations; Llama 4 Scout and Llama 3.3 70B on Workers AI run a lighter free-tier pass.M
Show HN: I built a way to prove your software kept its promises
Software makes commitments all of the time. "I won't transfer more than $500," "I'll only access these three APIs," "I won't modify production data." But there is truly no way to verify it actually kept those commitments after the fact. All you do is just trust the logs and which the software itself wrote.I built Nobulex to fix this. It is open-source middleware that does three things:1. Lets you define behavioral rules in a simple DSL (permit, forbid
Show HN: A trainable, modular electronic nose for industrial use
Hi HN,I’m part of the team building Sniphi.Sniphi is a modular digital nose that uses gas sensors and machine-learning models to convert volatile organic compound (VOC) data into a machine-readable signal that can be integrated into existing QA, monitoring, or automation systems. The system is currently in an R&D phase, but already exists as working hardware and software and is being tested in real environments.The project grew out of earlier collaborations with university researchers on gas
Why your AI response restarts on page refresh (and what it takes to prevent it)
Your AI assistant is mid-sentence explaining a complex debugging strategy. The user refreshes the page. The response starts over from the beginning, or worse, vanishes entirely.This isn't a model problem. It's a delivery problem.What breaksMost AI applications stream LLM responses over HTTP using Server-Sent Events or fetch streams. The connection delivers tokens in order until the response completes. If the user refreshes, closes the tab, or loses network connectivity, the stream ends. When the
Decision Matrix: API vs MCP Tools — The Great Integration Showdown 🥊
Audience: Engineers + Stakeholders (and anyone who's ever argued about API architecture at lunch)Date: March 2026Author: Sabyasachi SamaddarPurposeSomewhere, right now, two engineers are arguing about the "right" way to call an API. One swears by raw HTTP. The other just discovered MCP and thinks it's the greatest thing since 'git blame'. A third quietly uses their custom SDK and wonders why anyone would do it differently.This document settles the argument — with data, not opinions.It prov
The latest AI news we announced in February
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Thumbnail_mPCqgRv.max-600x600.format-webp.webp">Here are Google’s latest AI updates from February 2026
Show HN: A productivity app with reminders and nested AI chats
I built this app as a hobby project to experiment with developing a full-stack product from scratch—handling everything from the core utility and vision to the actual implementation. It took me about three months to build, and it was a massive learning experience that has prepared me to tackle my next set of projects.What it does:
The app allows you to create documents, whiteboards, and databases integrated with reminders and nested, agentic AI chats.The "Beta" Reality:
To be completel
Show HN: OpenKIWI (Knowledge Integration and Workflow Intelligence)
I've always been passionate about AI and automation so when I first heard about OpenClaw I got excited.
But as a professional software developer for almost 20 years, and who currently leads a DevOps team I found the experience extremely frustrating: constant gateway restarts and "NO_REPLY" responses from my agents when I would simply ask "Are you there?".So after using it for a bit the TLDR is that while I think OpenClaw and all the other AI driven automation tools like
RalphMAD – Autonomous SDLC Workflows for Claude Code (BMAD and Ralph Loop)
I've been using BMAD (Build More Architect Dreams) for structured AI-assisted development, but found myself copy-pasting workflow configs across projects.Built RalphMAD to solve this: a Claude Code plugin that combines BMAD's structured SDLC workflows with Geoffrey Huntley's Ralph Loop self-referential technique.Key features:
- Templatized workflows with runtime placeholder population
- Project-agnostic: install once, works with any BMAD-enabled project
- Self-running: Claude exec
Show HN: Open-sourced AI Agent runtime (YAML-first)
Been running AI agents in production for a while and kept running into the same issues:controlling what they can do
tracking costs
debugging failures
making it safe for real workloadsSo we built AgentRuntime, the infrastructure layer we wished we had.
Not an agent framework, but the platform around agents:policies
memory
workflows
observability
cost tracking
RAG
governanceAgents and policies are defined in YAML, so it's infrastructure-as-code rather than a chatbot builder.
Example – agents
Show HN: Vim-Claude-code – Claude CLI integration for AI workflows inside Vim
Hi HN,I built vim-claude-code, a Vim/Neovim plugin that integrates Claude CLI directly into the editor to enable AI-assisted development workflows without leaving Vim.The goal was not to build “chat inside Vim,” but to enhance real workflows developers already use.Current features:Generate and improve Git commit messages from diffsRefactor selected codeGenerate testsSummarize code blocksSend visual selections directly to ClaudeTerminal-based integration (no background daemons)Technically, t
Show HN: AgentTeams – Traceable AI coding workflows
AI coding agents ship code quickly.But in real-world projects, some basic questions remain:* What plan did this change follow?
* Was the intent reviewed before execution?
* What evidence do we have beyond “it works”?
* When something fails, does the lesson get captured structurally?AgentTeams adds a lightweight governance layer on top of AI-driven development.Instead of just marking tasks as “Done”, it creates a traceable execution chain:1. Plan
Every task starts as an explicit plan.
Prior
Show HN: DubTab – Live AI Dubbing in the Browser (Meet/YouTube/Twitch/etc.)
Hi HN — I’m Ethan, a solo developer. I built DubTab because I spend a lot of time in meetings and watching videos in languages I’m not fluent in, and subtitles alone don’t always keep up (especially when the speaker is fast).DubTab is a Chrome/Edge extension that listens to the audio of your current tab and gives you:1.Live translated subtitles (optional bilingual mode)
2.Optional AI dubbing with a natural-sounding voice — so you can follow by listening, not just readingThe goal is simple:
Show HN: One Good Thing – one thought a day, then asks you to close the app
I'm a marketer, not an engineer. This is the first iOS app I've shipped.The backstory:
I spent three months on research before writing a line of code. Two things had to be true first: the content had to be genuinely different from the wellness space, and the monetization couldn't contradict what the product was trying to do.On content: I read research on decision fatigue, attentional residue, and the paradox of choice. Most "thought of the day" apps are fortune cookies w