Dev Systems

Show HN: Ouijit, an open-source task and terminal manager for coding agents

Hi HN, I’m working on Ouijit.It’s a project and task-based terminal session manager that provides a few basic but useful tools for agent workflows:- Terminal sessions in Ouijit have access to the ouijit CLI, and supported agents (Claude, Codex, Pi) can work with it out of the box to manage tasks and customize a personal development workflow- Tasks live on a kanban board that supports hooks for task lifecycle events (eg. ‘Run this script when a task moves to ‘in progress’)I’ve found this simple c

Show HN: Cloud CI and agentic workflows for embedded hardware development

Jumpstarter is an open-source framework that gives embedded hardware programmatic APIs, making real devices first-class citizens in CI and agentic workflows.

Launch HN: Rudus (YC P26) – AI for concrete contractors

Hi HN, we’re Rishi and Sahil. We’ve developed Rudus (https://www.rudus.ai/), an AI-powered takeoff and estimation platform built for concrete subcontractors.Takeoff is the process of measuring and quantifying materials from concrete plan sheets. Rudus identifies every concrete structure (footings, walls, columns, slabs), pulls in related details, and eliminates hours of manual quantity calculation. Here’s a demo: https://www.youtube.com/watch?v=PAMNDRWEdlI.The probl

Show HN: OpenSOP, We got tired of agents lying to us, so we built them a harness

OpenSOP is an early open-source runtime/standard for executable agentic processes.You (or your agent) define a process in YAML, and OpenSOP exposes it as a typed REST API that agents and humans can both use.We built it because a lot of agent workflows still live in prompts, docs, or one-off scripts instead of versioned process definitions, and we wanted more control and auditability. Its under development, we are using it in production (at Coba.ai), feedback on the model, API shape, and use

Show HN: Circus Chief – Claude Code, Codex, and Gemini from Your Phone

Hi HN,Circus Chief is a tool for managing coding agent sessions from a browser. It's specifically optimized for small screens. It supports Claude Code, OpenAI Codex, and Google Gemini CLI agents.FeaturesAgents can operate Circus Chief itself. Agents can spawn sessions, schedule sessions, interact with the Kanban board — anything you can do in the UI, an agent can also do.Schedule work ahead of time.Automatically reschedule when you hit usage limits.Configurable, chainable prompt templates.U

Show HN: Division Swarm, the OS for Multi-Agent Systems

Hello all. My background is in blockchain protocol engineering. The company I was at wound down, which left me with a lot of time, so I'd been pushing frontier models on hard distributed-systems problems and was impressed enough to try building something autonomous end-to-end.. a micro-SaaS factory. A few months in I realized the runtime underneath was more interesting than the product on top of it, so I extracted it. That's Swarm. A lot of the design comes straight from blockchain eng

Show HN: Clor – give your agent claws

At my last job I spent a year building an agentic coding platform used by hundreds of thousands of people. Along the way I tried building a hosting service on OpenClaw, and also ran Hermes myself for a while. Both projects have some great feature ideas, but when I tried to use them for real work they failed more often than not, and their security models worried me. I just couldn't see either one becoming something I'd trust enough for myself/friends/family. After a lot of exp

I am developer in building distributed systems,how to get into Anthropic?

I like the work Anthropic doing on claude code and the ecosystem. I am developer but not holiding any PhD or wrote any paper in AI/ML. How to get into Anthropic and work on the stuff they are building. What skills I need to build?

Align your architecture backlog with Tech Roadmap Prioritization (TRP)

What do the organizations that succeed at digital transformation have in common? They align business and technical stakeholders around a shared plan before writing a single line of code. Yet research from McKinsey shows that 70 percent of transformations fail. Stakeholder misalignment and the inability to scale initiatives beyond initial pilots are patterns we see repeatedly across these failures. Before you architect your workloads, your team must agree on which ones deserve focus first. In thi

Building highly available Oracle databases with Amazon FSx for NetApp ONTAP

Oracle databases power mission-critical enterprise applications, making their continuous availability essential for business operations. Traditional Oracle high availability (HA) solutions require complex clustering software, expensive shared storage arrays, and specialized database administration teams. These conventional approaches often introduce single points of failure while demanding significant operational overhead. Modern cloud architectures offer a transformative approach that combines

Microservices Platforms - part 8: Getting started with platforms

This is the eighth article in a series based on my QCon San Francisco 2025 talk Microservices Platforms: When Team Topologies Meets Microservices Patterns.The articles in the series are: Microservices Platforms - part 1: Overview Microservices Platforms - part 2: Service foundation platform Microservices Platforms - part 3: Security platform Microservices Platforms - part 4: Infrastructure services platform Microservices Platforms - part 5: Observability platform Microservices Platforms -

Automating contract intelligence with Doczy.ai™ on AWS

Extracting actionable insights from thousands of contracts and legal documents remains a challenge. For organizations, critical business information is locked in unstructured documents such as contracts, legal agreements, provider arrangements, and vendor invoices. Extracting and operationalizing this information has traditionally been a manual, error-prone, and resource-intensive process. This leads to missed savings opportunities, costly delays, and significant inefficiencies across the enterp

Scaling oncology patient support: How New York Cancer and Blood Specialists transformed customer experience with AWS and Pronetx, now part of Caylent

As one of the United States’ leading oncology and hematology providers, the goal of New York Cancer and Blood Specialists (NYCBS) is to provide comprehensive and compassionate care to patients. The organization handles more than 250,000 patient calls every year across over 100 specialized queues and wanted to optimize its manual call handling process. This post details how NYCBS partnered with Amazon Web Services (AWS) and AWS partner Pronetx (now part of Caylent) to migrate to Amazon Connect Cu

Building a scalable user search layer on top of Amazon Cognito

Imagine a teammate who needs to find a user across thousands of accounts with only a partial email address, a last name, and a known access level. How quickly can your team respond? If your use case involves straightforward searches on standard Amazon Cognito attributes, the built-in ListUsers API is likely all you need. But for advanced scenarios involving custom attributes, fuzzy matching, complex filtering, and sub-second response times, a dedicated search layer is the right investment. Amazo

$100 to a Debian Developer who can get Fresh Editor into Trixie

I use Debian 13 in a regulated industry and I'm teaching people how to code in the context of large projects and TUI.I want to use Fresh Editor (https://getfresh.dev/). This is because Fresh is easier to learn quickly than vim & emacs, and more of an IDE than micro & nano, and more favorable for compliance auditing because of its core-and-plugins architecture and open source code using Rust.I would like to donate toward this goal. I can afford to offer $100 to any Deb

Ask HN: Any advice on how to learn good software architecture practices?

As someone who picked up coding around the time AI and agents started becoming more mainstream, I realize I don’t have much knowledge about the best way to architect applications, and I often end up going with whatever the agent recommends. I wanted to check with the community: do you have any recommendations on what I should be doing to get better at overall architecture planning?I do ask AI a lot of questions, but it would be good to have a non-AI frame of reference that I can rely on. I find

Show HN: DRD – Git for distributed consensus failures"

Deterministic replay debugger for distributed systems - capture, replay, and explain why consensus diverged.&quot;<p>github.com&#x2F;citadel-labs&#x2F;drd

Show HN: Generate Claude Code Workflows using Spec Driven Development approach

I have been using a Spec-Driven Development approach for all mid+ size coding tasks since Feb 2026: https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=48231575. One of the reasons for developing my own plugin (sddw - spec driven development workflow https:&#x2F;&#x2F;github.com&#x2F;sermakarevich&#x2F;sddw&#x2F;) was to adjust it to my specific needs and the typical size of the features I build. Since then, this approach (sddw) has been presented at a few companies, including Google Poland. One

Show HN: Chunk sidecars for validating agent-generated code before pushing to CI

Hi HN! My name is Olaf, I work at CircleCI as a technology advisor in the CTO office, came in through the acquisition of my company Vamp.io (progressive delivery for microservices on k8s) in 2021. Wanted to hear the HN community feedback and thoughts on a project we think could be very interesting when adding AI coding agents to the SDLC and your CI pipelines.Our team at CircleCI built Chunk sidecars after repeatedly running into the same issue internally: by the time our CI catches a failure, t

Bill Gates AI on AI (one month later)

# The Agentic Tidal Wave*To:* Executive Staff and Direct Reports *From:* Bill Gates *Date:* April 26, 2026Our vision for the last 20 years can be summarized in a succinct way. We saw that exponential improvements in cloud would make great software quite available. In the next 20 years the improvement in computer power will be outpaced by the exponential improvements in autonomous expert systems. Verifiable trust will be crucial to delivering the benefits of these advances.Most users of software