AI Agents2 months ago
Turen · Ship at AI speed. Stay in control.
Monitor and extend AI coding agents with built-in security and control tools.
@TurenTom · X
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32 projects
Monitor and extend AI coding agents with built-in security and control tools.
@TurenTom · X
Manage and control your coding agents from any browser or mobile device.
@vilmire_tmp · X
Tired of alt-tabbing between terminals to check if my coding agents were done, stuck, or waiting on approval. So I built ADHDev: control Claude Code / Codex / Cursor CLI from your browser or phone, on every machine you own. AGPL self-hosted edition too.
Deploy autonomous coding agents to your repositories with multi-model routing.
@LeeLeepenkman · X
nice im working on lots of AI stuff so right now :)
Coordinate multiple AI coding agents and projects in one unified terminal interface.
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI
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
Collaborate with multiple AI coding agents in a shared visual workspace.
austinvhuang · HN
Collaborate.dev – Multiplayer Visual Desktop for Coding Agents
A local notebook for prototyping and planning with coding agents.
narwhster · HN
A notebook for prototyping with your agent
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.
AI agent that analyzes code repositories and writes code in your browser.
@vlipadev · X
Manage API keys and usage budgets for coding-agent workflows with request routing.
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to
An IDE for deploying and running AI agents in sandboxes on your own hardware.
u/EagleApprehensive · Reddit
I've made an IDE. I built intentic.dev , a free IDE that runs self-hosted on your hardware in docker - can be easily shared with coworkers and deployed on servers. It's not for you! It's a home for agents, you're just a guest there so behave. Comes with cool stuff for AI powerusers - token saving mechanisms, codebase indexers, healthiness checkers - helps you keep the code manageable. Can connect to stuff as well. And if you're crazy you can even add widget to your produc
Compare costs of coding-agent harness strategies with event-level cache and context accounting.
taosx · HN
I created a simulation for coding harnesses based on my own pi sessions. When taking into account all factors, DS-v4-Pro is cheaper than gpt-5.6-luna due to caching. Look at the bill segments difference for cache read cost and uncached cost between deepseek and the other models. At this point is cheaper to use ds-v4-pro than the luna models from openai. ignore the numbers except the classic and keep in mind that classic is based on pi with the only change limiting tool output to 10kb https://har