Dev Systems - Building Systems That Scale

Show HN: I Built Systems AGI – 1600 Verticals, Self-Healing, Self-Evolving

Hey HN,For a while now, I've been building a cognitive AI business operating system from the ground up natively as a solo developer. I never coded before 6 months ago. I was frustrated with wrappers and fragile single-agent setups, so I decided to approach this as a distributed systems problem instead. It's called *Sophify*.Instead of trying to make one monolithic capability do everything, I built a 12-server, 28+ microservice swarm orchestrated by over 40 highly specialized cognitive

Show HN: I Built Systems AGI – 1600 Verticals, Self-Healing\Self-Evolving

Show HN: PantheonOS–An Evolvable, Distributed Multi-Agent System for Science

We are thrilled to share our preprint on PantheonOS, an evolvable, distributed multi-agent system for automatic genomics discovery.Preprint: https://www.biorxiv.org/content/10.64898/2026.02.26.707870v1 Website(online platform free to everyone): https://pantheonos.stanford.edu/PantheonOS unites LLM-powered agents, reinforcement learning, and agentic code evolution to push beyond routine analysis — evolving state-of-the-art algorithms to super-human performa

Show HN: key-carousel - Key rotation for LLM agents

I think in-process key management is the right abstraction for multi-key LLM setups. Not LiteLLM, not a Redis queue, not a custom load balancer.The failure modes are well-understood: a key gets rate-limited, you wait, you try the next one. Billing errors need a longer cooldown than rate limits. This is not a distributed systems problem — it's a state machine that fits in a library. The problem is everyone keeps solving it with infrastructure instead. Spin up LiteLLM, now you have a Python s

Show HN: OpenMandate – Declare what you need, get matched

Hi HN, I'm Raj.We all spend a bulk of our time looking for the right job, cofounders, hires. Post on boards, search, connect, ask around. Hit ratio is very low. There's this whole unsaid rule that you have to build your network for this kind of thing. Meanwhile the person you need is out there doing the exact same thing on their side. Both of you hunting, neither finding.What if you just declare what you need and someone does the finding for you?That's what I built - OpenMandate.

Ask HN: How valuable is production scale experience vs. LeetCode in startups?

Backend engineer from India working mainly on distributed systems and backend infrastructure.Over the past few years, I’ve worked on systems serving ~6M monthly users and currently operate backend services handling ~1300 rps production traffic. A lot of my work involves things like autoscaling services, async job processing, data pipelines (~400GB), and deployments where we need zero downtime (blue-green / rolling deploys).I’ve also solved 300+ LeetCode problems and understand the algorithm

Show HN: Jido 2.0, Elixir Agent Framework

Hi HN!I'm the author of an Elixir Agent Framework called Jido. We reached our 2.0 release this week, shipping a production-hardened framework to build, manage and run Agents on the BEAM.Jido now supports a host of Agentic features, including:- Tool Calling and Agent Skills - Comprehensive multi-agent support across distributed BEAM processes with Supervision - Multiple reasoning strategies including ReAct, Chain of Thought, Tree of Thought, and more - Advanced workflow capabilities - Durabi

Ask HN: Transforming My Resumé for the Age of AI

Now that array of language expertise and distributed systems stuff is no longer impressive or a strong signal, how should I reframe my 20+ years of programming and management experience? Should I go higher level and focus only on business impact and drop the technical aspects?

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: 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

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: 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 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: 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 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

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

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