
artifacted — The cloud for agent-built software
Deploy AI-built tools as private team apps with authentication and permissions.
iamavalex · HN
Artifacted – private URLs for the small tools your AI builds
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Deploy AI-built tools as private team apps with authentication and permissions.
iamavalex · HN
Artifacted – private URLs for the small tools your AI builds

Design and deploy AI agents that automate tasks across software without requiring APIs.
@gabebenchimol · X

Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X

AI agent that analyzes your code repo and deploys it to production infrastructure automatically.
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it

Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X

Govern, trace, and defend AI agents across multiple providers.
camsjams · HN
Lineation – One security control plane for all agents

Create and deploy applications with an AI-powered team of agents.
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.

Build AI agents that interact with external systems via SMS using Claude Code.
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code

Assign work to AI agents that plan, build, and review it autonomously.
@supezen · X
😂我做了一个截然相反的产品,把「过程」留给 AI,把「结果」留给自己

Monitor and extend AI coding agents with built-in security and control tools.
@TurenTom · X

Task board for AI agents in VS Code with persistent context across chat sessions.
gb2d_hn · HN
It was with the transience of valuable agent session dialogue in mind that I built https://www.agentkanban.io - A key feature is context capture in the tasks which you create on the board and then progress in agent sessions. Supported agents are currently Claude and Github CoPilot in VS Code. All of your context is captured in the task and can be reloaded into new agent sessions at any point in the future. Tool use is intentionally discarded because it is proprietary in nature and therefore brea

Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte