Dev Systems
Show HN: Rust primitives for AI agents, LLM infrastructure, and financial data
I've been building the substrate layer for production AI systems in Rust. This is the index repo for 10 crates I shipped this week.
The AI side covers agent memory (episodic, semantic, working with decay and multi-agent bus), cost governance with hard budget enforcement and automatic model downgrade cascade, CRDT state sync for distributed agent fleets, output versioning with full lineage tracking, a knowledge graph on top of agent memory, LLM inference primitives for WASM and edge runtimes
Ask HN: 1 Hash/Sec paced PoW making 51% attacks impossible – seeking engineers
I’ve been working on a new Proof-of-Work architecture built around deterministic mining pacing (what I call Capped PoW).The core idea is a protocol-enforced pacing model where each admitted identity progresses through the mining process at a fixed rate (currently modeled as 1 hash/sec). Instead of competing through raw hashpower, nodes advance deterministically through the mining process.The broader architecture aims to neutralize large-scale parallel mining advantages by making horizontal
Cost per outcome: measuring the real economics of AI workflows
Hi HN, I’m the technical founder of botanu (https://www.botanu.ai
).I started building this after repeatedly running into the same problem on AI teams: we could see total LLM spend, but we couldn’t answer a simple question:“What did one successful outcome actually cost?”In real systems, a single business event often requires multiple attempts before it succeeds — retries, fallbacks, tool calls, escalations, async workers, etc. Most tooling measures individual model calls or sometimes a
Show HN: Pacto – OCI-distributed contracts for cloud-native services
Author here.I work as a platform engineer and kept running into the same problem: services are described in fragments across different tools.APIs live in OpenAPI specs.
Deployment assumptions end up in Helm values.
Runtime details are hidden in Kubernetes manifests.
Configuration lives in environment variables.
Dependencies are often documented in READMEs or tribal knowledge.There is no single machine-readable contract that describes how a service actually behaves operationally.So I started buil
Infrastructure Vulnerabilities and White-Label Abuse: Is Opnex a Scam?
In the current digital finance landscape, fraudulent entities are becoming increasingly adept at using mature technical tools (like MetaTrader 5) to manufacture credit endorsements for their illicit operations. Today, we dissect OPNEX from a network infrastructure, information security, and architectural perspective to answer the tech community's most pressing question: Is OPNEX a scam?1. High-Risk Shared Network Infrastructure
During our OPNEX in-depth analysis, topology scans of its core
Show HN: BXP – An open standard for atmospheric exposure data
Air pollution kills 7 million people a year. The sensors exist. The data infrastructure does not.
Every device, app, and agency stores air quality data in incompatible formats. A sensor in Accra cannot speak to a hospital in Nairobi. A researcher in London cannot access ground-truth data from Lagos. There is no open standard for atmospheric exposure data — the same way there was no open standard for the web before HTTP.BXP (Breathe Exposure Protocol) is my attempt to fix that.It defines: — A uni
Lessons from 30 Years Building Software Systems
Over many years building software systems, I noticed that many failures are not caused by technology itself but by misunderstandings of how businesses actually operate.Several patterns appear repeatedly.1. Systems built without clear business rulesMany organizations start software projects before defining operational rules and processes. When development begins, developers must spend time discovering how the business actually works.2. Weak data modelsTeams often focus on infrastructure and scala
Building a better tool for documenting software architecture
Having spent extensive time researching options to document software architecture, not finding a satisfying solution to serve my needs, I’ve decided to build something that does.I want to make it worth the effort by founding this project on solid data, using the jobs-to-be-done framework and outcome driven innovation (ODI) to identify underserved needs in the segment.I’ve created a ~15 minute survey to establish that foundation:
https://forms.gle/2dtEAad6xirS4Ejy5The aggregated re
Show HN: OpenVerb – A deterministic action layer for AI agents
Hi HN,I’ve been working on a project called OpenVerb, which explores an architectural idea for AI systems: separating reasoning from execution.Most AI agent frameworks today focus on improving reasoning loops, planning, and orchestration (LangChain, LangGraph, etc.). But once an agent decides to perform an action, execution usually becomes a direct tool call, script, or API invocation.That approach works, but it also creates some issues:
• custom glue code for every integration
• inconsistent
I Got Fired Because of AI – But I Still Think I'm the Engineer of the Future
Over the past few months I completely rebuilt my approach to software development.I used to write code myself. Now I strategically manage neural networks.Before, I spent time on architecture, reading documentation, and understanding other people's code. Now I spend my time choosing the right model and discussing on Twitter which one is the real game changer.I bought all the most expensive AI coding tool subscriptions. About $500 in total. Honestly, I feel sorry for people who haven't d
Show HN: Nexus – A 1KB .NET 10 core with <15μs latency for 1M parameters
I’ve spent the last few weeks pushing the limits of .NET 10 (Native AOT) to see if I could achieve deterministic, hard real-time performance for large-scale parameter indexing.
Today, I hit the 1,000,000 entry milestone with a search latency of ~12.8μs (0.0128ms).
The Architecture (The NANO Standard):
Zero-Allocation: The hot path is entirely heap-free. No GC pauses, no jitter.
Memory-Mapped Index: I’m using a pre-allocated 24MB MMF acting as a "Software-Defined Hardware" surface.
Bina
Show HN: An open-source DAW plugin built on JUCE, React, and Lyria RealTime
Hi HN!I'm a former YC founder/visiting partner and independent musician/producer in SF. About a year ago I started collaborating with the Magenta research team as an artist to explore the role of realtime generative music models in studio production and live performancesThrough our early experiments we recognized the need to bridge the gap between server based generative music models and professional audio software, and to design interfaces for generative models that are more stee
Show HN: OpenMolt – A programmatic AI agent framework for Node.js
Hi HN!I built OpenMolt, an open-source framework for creating programmatic AI agents in Node.js.Instead of wiring complex workflows (that can break), you define agents in code with instructions, tools, integrations, and memory. The agent then plans steps and executes actions like calling APIs, updating data, or interacting with services. When things break or change, the agent can adapt instead of failing like static workflows.The goal is to make agents behave more like real software systems than
Google completes acquisition of Wiz
Today, we announced we've closed the acquisition of Wiz.
New ways to create faster with Gemini in Docs, Sheets, Slides and Drive
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Thumbnail_-_keyword.max-600x600.format-webp.webp">These new Gemini features are coming to Google Docs, Sheets, Slides and Drive to help you get more done.
Gemini in Google Sheets just achieved state-of-the-art performance.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Workspace_Jan_Moment_Sheets_Blo.max-600x600.format-webp.webp">Today we announced new beta features for Gemini in Sheets to help you create, organize and edit entire sheets, from basic tasks to complex data analysis — just describe …
Show HN: AC-trace–map acceptance criteria to code and tests,then mutate the code
I built a small open-source tool to explore a software confidence gap that seems to be getting worse with AI-assisted coding.Passing tests and coverage are often weaker signals than teams assume. Code can be exercised, tests can pass, and yet the actual acceptance criteria may still be only weakly protected.More about the problem: https://www.dmytrohuz.com/p/i-built-ac-trace-to-question-theac-trace maps acceptance criteria to code and tests, then mutates the mapped code to ch
Show HN: Time Machine – Debug AI Agents by Forking and Replaying from Any Step
Hey HN! We are building Time Machine, a debugging and replay platform for AI agents. We would love your feedback.Here's a demo: https://youtu.be/KyOP9BY0WiY
Website Link: https://timemachinesdk.dev/Here is the initial problem we are trying to solve: Imagine it's Step 9 of 10 of an agent running, and it hallucinated a tool call, wrote garbage to your database, and crashed. You fix the prompt. You re-run. $1.50 gone. This happens six more times before lunch.
Show HN: Fakebase – a lightweight PostgreSQL browser for development databases
Hi HN,Over the past year I’ve been building a lot of products on PostgreSQL and kept needing a very simple way to quickly inspect tables, run queries, and sanity-check data without opening a heavy database client.So I built a small tool for myself called Fakebase - a lightweight PostgreSQL browser for local and dev databases.I’ve been using it daily for a while now, and a couple of colleagues started using it too, which made me think it might be useful for others.So I cleaned it up a bit and dec
Show HN: ChatML - Run Claude Code Parallel Sessions in a Desktop app
Hey HN,Over the past 10 months I've been using Claude Code heavily, and one limitation kept coming up: you can really only run one coding agent at a time.While one agent is refactoring something, the rest of the repo is basically blocked unless you start manually juggling branches and working directories.The core issue is that AI coding agents operate directly in your filesystem. If two agents run in the same working directory they quickly start stepping on each other’s changes.Git worktree