Dev Systems - Building Systems That Scale

Show HN: Live architecture docs using AST parsing + LLM

I am working on a tool called MaiMap which combines static code parsing with LLM-based analyses to generate architectural docs and diagrams for microservices.The link I have posted here is to a demo of what the generated docs look like. My plan is to provide this knowledge to user's LLMs so you can ask it questions about your distributed system. I would also like to have this read documentation and incorporate that into its knowledge base. Any feedback here would be much appreciated - would

Show HN: DevProof – Verified developer portfolios using Code Complexity and AI

Hi HN,I'm Dhruv. I built DevProof because I was tired of guessing which "Senior Engineer" actually understood distributed (or complex) systems versus who just pasted code from tutorials. GitHub activity charts (green squares) measure effort, not engineering depth.What it is: DevProof is a portfolio generator that audits your actual code. It follows a "Proof of Work" model: it pulls your source code, runs it through a 2-step verification pipeline (AI + Static Analysis), a

Show HN: Agent framework that generates its own topology and evolves at runtime

Hi HN,I’m Vincent from Aden. We spent 4 years building ERP automation for construction (PO/invoice reconciliation). We had real enterprise customers but hit a technical wall: Chatbots aren't for real work. Accountants don't want to chat; they want the ledger reconciled while they sleep. They want services, not tools.Existing agent frameworks (LangChain, AutoGPT) failed in production - brittle, looping, and unable to handle messy data. General Computer Use (GCU) frameworks were eve

I built a distributed systems kernel so you didn't have to

I was sick of recreating the wheel every time I wanted to built some distributed application, so I built this<p>https://github.com/octopii-rs/octopii

Show HN: A Distribution Framework for founders who can build but can't sell

6 months ago I launched my AI customer support widget on Product Hunt and other directories. Got some traction but ended up with 5 free users and 0 paying customers.I'm a software engineer with 10+ years of experience, building on the side after my 9-5 in Romania. I could ship a full product in a weekend with Claude Code. But I had zero idea how to get it in front of people who'd pay for it.I didn't even know what an ICP was at the time. Didn't know if SEO was worth doing or

Show HN: Double blind entropy using Drand for verifiably fair randomness

The only way to get a trust-less random value is to have it distributed and time-locked three ways, player, server and a future-entropy.In the demo above, the moment you commit (Roll-Dice) a commit with the hash of a player secret is sent to the server and the server accepts that and sends back the hash of its secret back and the "future" drand round number at which the randomness will resolve. The future used in the demo is 10 secsWhen the reveal happens (after drand's particular

Show HN: Sofia Core – Open-source AI infrastructure with biological computing

Hi HN,We built Sofia Core - open-source AI infrastructure exploring biological computing in production systems.Technical approach: • DNA-inspired algorithms for massive parallelism (10^15 operations) • Swarm intelligence for distributed coordination • Temporal reasoning for time-aware predictionsStack: Python/FastAPI, PostgreSQL, Redis Testing: 70%+ coverage, 100+ endpoints License: MITResearch foundation: 8,000-word paper with benchmarks showing 300× speedups in parallel pattern matching t

Securing A Multi-Agent AI Solution Focused on User Context & the Complexities of On-Behalf-Of.

How we built an enterprise-grade multi-agent system that preserves user identity across AI agents and DatabricksIntroductionWhen building AI-powered applications for the enterprise, a common challenge emerges: how do you maintain user identity and access controls when an AI agent queries backend services on behalf of a user?In many implementations, AI agents authenticate to backend systems using a shared service account or with PAT (Personal Access Token) tokens, effectively bypassing row-level

Show HN: Open sourcing our ERP (Sold $500k contracts, 7k stars)

We recently open-sourced Hive after using it internally to support real production workflows tied to contracts totaling over $500k.Instead of manually wiring workflows or building brittle automations, Hive is designed to let developers define a goal in natural language and generate an initial agent that can execute real tasks.Today, Hive supports goal-driven agent generation, multi-agent coordination, and production-oriented execution with observability and guardrails. We are actively building

Show HN: SpecOps – Spec-Driven Development for Infrastructure as Code

Hi HN,I built SpecOps, an open-source CLI framework inspired by GitHub's Spec Kit approach, that brings Spec-Driven Development to Infrastructure as Code.The problem: Most IaC projects start with ad-hoc scripting — jumping straight into Terraform/Ansible without clear specs.SpecOps enforces a structured workflow:Idea → Specification → Plan → Tasks → ImplementationIt works with AI coding agents (Claude Code, GitHub Copilot, Cursor, Gemini CLI, Windsurf, and 12+ others) to guide you thro

Show HN: C-CMCP – Validated AI development workflow with quality gates

I built a workflow that coordinates Claude.ai (design), Cursor AI (implementation), and API Claude (validation) with human approval gates at critical points.The problem: AI coding tools are great but there's no quality control. You get code that "looks right" but fails requirements, has bugs, or doesn't match what you actually asked for.C-CMCP solves this with a 4-stage pipeline: 1. Claude.ai creates detailed task specs (MUST/SHOULD/COULD requirements) 2. You approv

FeedbackKit: A developer-first feedback platform for multi-platform apps

FeedbackKit: A developer-first feedback platform for multi-platform appsHi HN! I'm Ben, founder of Swiftly Workspace, and I'm launching FeedbackKit - a complete feedback management platform built for developers who ship on multiple platforms.The problem: Most feedback tools are either abandonware side projects or enterprise solutions too complex for indie devs and small teams. I needed something actively maintained, truly multi-platform, and built for the long haul.What FeedbackKit doe

Show HN: CarbonLint – Real-time carbon footprint tracker for code

https://github.com/nishal21/CarbonLintHi HN,I built CarbonLint because while we have plenty of tools to profile CPU and memory usage, we rarely see the environmental cost of our development workflows in real-time.CarbonLint is an open-source Electron desktop app that monitors your system resources (CPU, Memory, Network) and applies regional carbon intensity data to estimate the CO2 emissions of your builds, tests, and daily tasks.Key Features: * Real-time dashboard with live

Show HN: Visual Agentic Dev – Click React components to edit source capabilities

Hello HN,I built a tool to solve a specific annoyance: context switching between the browser (where I see the bug) and VS Code (where I fix it).It's called Visual Agentic Dev.The TL;DR: It lets you click any component in a running React app and instruct an AI agent (like Claude Code) to modify the source code directly.The "Magic" (How it works): Instead of requiring invasive Babel plugins to inject data-source attributes at build time, I used a runtime approach:The Chrome extensio

Show HN: MEVA, a desktop Markdown reader for AI-generated docs

Hey HN!Saurabh here – I built MEVA, a lightweight desktop app for reading AI-generated markdown. I work with AI tools (Claude, ChatGPT, Copilot) daily and end up with dozens of markdown files – design docs, API specs, architecture notes, explanations. VS Code previews split your workspace, browser renderers don't watch files, and most markdown apps are built for writing, not reading. I just wanted something I could point at a file and read, beautifully rendered, updating live.MEVA watches f

Show HN: Kanban-md – File-based CLI Kanban built for local agents collaboration

I built kanban-md because I wanted a simple local task tracker that works well for the agent loop: drop tasks in, run multiple agents in parallel, avoid collisions, and observe progress easily.Tasks are just Markdown files (with YAML frontmatter) in a `kanban/` next to your code — no server, no DB, no API tokens. Simple, transparent, future-proof.What makes it useful for multi-agent workflows:- *Atomic `pick --claim`* so two agents don’t grab the same task.- *Token-efficient `--compact` out

Show HN: Open-source Liquid sections for Shopify themes

Hi HN, I've put together a collection of open-source Shopify sections (Liquid, CSS, JS) that can be added to themes. I built this because I found that while Shopify is great, standard themes often lack specific sections, and custom development can be expensive for small merchants. I wanted to create a repository of high-quality, copy-pasteable sections that developers can use to speed up their workflow or merchants can use to enhance their stores without apps. I’d love to hear your feedback

Show HN: PolyMCP – AI-Callable Python and TS Tools with Inspector and Apps

I built PolyMCP, an open-source framework around the Model Context Protocol (MCP) that lets you turn any existing Python function into an MCP tool usable by AI agents — with no rewrites, no glue code, no custom wrappers.Over the last weeks, PolyMCP has grown into a small ecosystem: • PolyMCP (core) – expose Python functions as MCP tools • PolyMCP Inspector – visual UI to explore, test, and debug MCP servers • PolyMCP MCP SDK Apps – build MCP-powered apps with tools + UI resources⸻1) Turn any

The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It

WHAT IT ISThe rise of agentic software development means code is being written, reviewed, and shipped faster than ever before across the entire industry. It also means that testing frameworks need to evolve for this rapidly changing landscape. Faster development demands faster testing that can catch bugs as they land in a codebase, without requiring regular updates and maintenance.Just-in‑Time Tests (JiTTests)are a fundamentally novel approach to testing where tests are automatically generated b

2 Days Target 🎯 For Software Architecture

shorts #short #rgpv #rgpvexam.