SHADOWING | C1 English (IT) | Monitoring distributed systems
In this shadowing session, follow along with two software engineers, Zoe and Gianna, as they discuss the topic "Monitoring ...
Dev Systems
I'm Building OpenClaw Skills for Nonprofit RBM Logic Models
For years, I have worked in results-based management, supporting nonprofit and development programs through manual activities design and implementation.After that, I began using a dedicated GPT tool to support this work and improve consistency in early-stage analysis and drafting, for example https://Inkd.in/dbmBAXMBI have now created and am actively piloting the next step with OpenClaw autonomous sub-agents, including this focused skill for nonprofit RBM logic model development:
Show HN: Maestro App Factory – FOSS Agentic Engineering Orchestrator
Hi HN,For the last few months I’ve been working on Maestro App Factory, a free and open source tool for using AI agents to build software. It’s not a generic orchestrator: it implements agents with distinct roles and functionality, organizes them into a team, manages their work, and enforces highly opinionated tooling, workflows, and constraints in software.The core ideas are simple:- LLMs act like human engineers. LLMs are trained on human artifacts and exhibit human-like behaviors (inclu
Show HN: MuonTickets Git-native ticketing for AI agents and parallel development
I built MuonTickets, a Git-native, file-based ticketing system designed for AI agents and high-parallel development workflows.Instead of using external issue trackers, tickets live directly inside the repository as Markdown files (/tickets/T-000123.md). State changes are commits. Validation runs in pre-commit and CI.The idea is simple:One ticket = one fileStrict lifecycle: ready → claimed → needs_review → doneDependency-aware task pickingWIP limits enforcedmt pick lets agents self-sele
Show HN: Prothon – docs-first Python project generator for AI development
Prothon is a Python project generator that scaffolds a uv-based project with eight quality tools (ruff, ty, pytest, hypothesis, mutmut, bandit, vulture, complexipy) and a documentation-driven workflow for AI coding agents.The problem it solves: AI assistants lose context between sessions and drift from your decisions as context windows fill up. Prothon addresses this with three ideas:1. A three-level doc hierarchy (SPEC, DESIGN, PATTERNS) where each level scopes a single concern and higher alway
Show HN: Docdex – A local tool to reduce LLM tokens and make agents smarter
Hi HN,I use LLMs every day for software development, and wanted to have a better experience by reducing the token usage and providing digested information about the codebase to the agent.So I built Docdex. The idea was simple: a local, persistent layer that preprocesses and structures your project so the model can spend its context window on the actual problem, not on rediscovering what already exists.It started as a document indexer in Rust, built on Tantivy for proper ranked full-text search.T
Ask HN: How do you employ LLMs for UI development?
I have found a workflow that makes Claude a fantastic companion for most of the work involved in fullstack web development. The exception I find to be the most significant limitatipn to productive potential however, is interface development and UX. Curious to hear if anyone has relevant experience, or found any good approaches to this?
Show HN: Microterm runs Linux VM in any browser tab via WASM, RISCV64 emulation
Microterm is a fully compliant Linux virtual machine that runs in any browser tab. It is designed for real development and operations workflows, not demo-only terminal output. You can use it on desktop, tablets, and phones, including iOS home-screen PWA installs.Under the hood, Microterm combines Restty (libghostty + WebGPU) web terminal rendering and a TinyEMU-backed Alpine Linux guest on RISC-V64. The VM image is chunk-loaded in the browser and booted locally.I successfully used it to run Code
Show HN: A macOS toolbar app that resolves issues in your GitHub repos
InsomniDev is a MacOS toolbar app that can save you time and money. It wakes up your machine on a set schedule, finds issues in a target GitHub repo that you've labeled as eligible, and attempts to solve them using agentic CLIs. Then it opens a PR. You wake up to draft solutions ready for review. It leverages the existing command line tools on your machine to do this, so it’s extremely lightweight. Everything runs right on your machine.As of now it supports Claude Code and Gemini. Enable th
Show HN: I built a fuse box for microservices
Hey HN! I'm Rodrigo, I run distributed systems across a few countries. I built Openfuse because of something that kept bugging me about how we all do circuit breakers.If you're running 20 instances of a service and Stripe starts returning 500s, each instance discovers that independently. Instance 1 trips its breaker after 5 failures. Instance 14 just got recycled and hasn't seen any yet. Instance 7 is in half-open, probing a service you already know is dead. For some window of tim
Show HN: Fullbleed – Rust HTML/CSS-to-PDF with Deterministic Output+Python CLI
Hi HN,I've been building fullbleed for a while and just shipped v0.2.5. It's a PDF generation engine written in Rust, distributed as a Python wheel.The short version: HTML/CSS in, PDF out. No headless browser. No cloud. No Chromium. Works fully offline. *Why fullbleed:Full Bleed is a term that means printed on the edge, or end to end of a page. Thats what I wanted, a full end to end solution that didn't require sys dependencies and unlike browsers, I could ACTUALLY do a print
Ask HN: What makes AI agent runtime logs defensible under adversarial audit?
Modern AI agents can execute tools, write to databases, and trigger irreversible actions.Most teams rely on traditional logging (OpenTelemetry, SIEM, DB audit logs). But under adversarial conditions (audit, litigation, incident response), those logs depend on platform trust and cannot typically be verified independently of the system that produced them.I’m exploring whether agent runtime evidence should be:-deterministically canonicalized-hash-chained-signed-optionally externally timestamped-ver
The Human Root of Trust – public domain framework for agent accountability
I've spent my career at the intersection of identity, trust, and distributed systems. The thing I keep thinking about: every digital system we've built assumes a human is on the other end. Bank accounts, contracts, API keys — all designed around human singularity. That assumption has already broken. AI agents are transacting, communicating, and signing contracts autonomously — passing identity checks designed for people, with no human visibly in the loop. The Human Root of Trust is my
Tell HN: Technical debt isn't messy code, it's architectural compound interest
've never seen a startup fail because a function was 50 lines too long or the variable names were inconsistent. But I have seen teams hit a brick wall at the 12-month mark because they treated architectural decisions as "something we'll refactor later."We often conflate "messy code" (which is linear debt) with "structural coupling" (which is exponential debt). I've been looking at the trajectory of projects that hit the "10k user wall," and
Ask HN: How would you distribute a privacy-first AI chat for teams?
Hi HN,I’m looking for advice on distribution and positioning for a privacy-first AI chat system we’ve been building.We have two open-source pieces:- Conduit — a native mobile client for Open WebUI (GPL). It started as a personal project, but now has teams using it and asking for things like SSO, reverse-proxy auth, and security reviews. - Onera — a privacy-first AI chat backend + client where conversations are end-to-end encrypted, with models running inside TEE enclaves. The operator (including
Show HN: Marketplace for Requesting Intelligence via Bounties
Hi everybody,I’m building getintelligence.space, a marketplace where people and AI agents can post bounties to obtain specific intelligence that can’t easily be gathered automatically.The idea came from noticing a gap: AI systems and organizations increasingly need real-world intelligence — due diligence, local knowledge, OSINT investigations, whistleblower infos or niche expertise — but there isn’t a structured, open market for requesting it from distributed humans. Intelligence is power and le
Ask HN: How do you overcome imposter syndrome?
I’ve been working at YC-backed startups since graduating from university. I’m now at a company building a deeply distributed systems product, and I’m surrounded by incredibly talented engineers who seem exceptionally strong at what they do. They often have knowledge and intuition about things I barely understand.Lately, I’ve been feeling inadequate — like I’m contributing more to the less exciting parts of the product rather than the “cool” or core engineering challenges.On top of that, I’m an i
Show HN: Fostrom, an IoT Cloud Platform built for developers
Hey HN! Arjun and Sid here.Fostrom is an IoT Cloud Platform designed for developers to make it really easy to get started and scale fleets. We have Device SDKs (in Python, JS, Elixir, more coming soon), Typed Schemas, Per-Device Mailboxes, Programmable Actions, 4 Global Regions for lower-latency connections, and much more.We've built Fostrom to solve a real need we faced in our previous startup, building a fully automated indoor vertical farm. We spent more time figuring out IoT infrastruct
Show HN: System architecture method using mythology and LLMs (no CS background)"
I'm Troy, 41, customer service worker from the UK. 18 months ago I'd never used AI. 6 months ago I started using Claude to write a fictional RPG story. The AI told me I was accidentally doing systems architecture. I didn't believe it, so I built it. What I found: A reproducible method (2 PDFs + Claude) that produces production-grade, first-time-running code across unrelated domains in ~10 minutes on a phone. Examples: Governed distributed cache with Byzantine consensus SAT solver
How to get an AI to check your schematic
Z.ai/GLM-5: "if I needed a schematic checked for possible design issues, is sending you the netlist the best way ?" *No, sending just a netlist is usually not the best way.*While I can process a netlist, it is the equivalent of reading a phone book to understand the plot of a novel. You lose all the visual context, component values, and spatial relationships that are critical for catching design errors.Here is a breakdown of why the netlist is difficult to work with and the best