A coding agent finishes, and then what? These four launches are all about the step after the agent stops typing: getting a link someone else can open, a board the team can see, a site a stranger can edit, or a session that survives the machine you built it on. It is the least glamorous layer in the stack and the one that decides whether any of the rest was worth doing.
One message between an agent and a URL
Tofu takes something an agent built and gives it a link. You paste one message into your coding agent — Claude Code, Codex, Cursor, Copilot, Windsurf, Devin and others are listed — and Tofu returns a URL anyone can open, with saved data and sign-in already handled. One app is free, with saved data and sign-in included; paid plans add more apps and can be tried for seven days. The three example apps on the landing page are a wedding page, a candle shop and a restaurant booking page, each live at its own link.
The design choice worth noticing is that there is no dashboard to learn. The whole interface is a message you paste into the agent you are already using, which means the deploy step happens inside the same conversation that wrote the code. The trade is that it is a hosted service, so your app runs on their infrastructure and your data sits behind their sign-in.
A tracker that lives inside the agent
DevBoard is a project tracker for freelancers and small dev teams: boards, epics, releases and a timer, in native apps for iPhone, Android and Mac, with Windows and Linux announced. It opens at once and answers to the keyboard rather than demanding a clickthrough.
The detail that makes it relevant here is the MCP server, which puts the board inside Claude Code and Cursor instead of a browser tab you alt-tab to. Most trackers bolt on an integration that can read a ticket; this one is built so the board is a place the agent already works. It is free while in early access, which is both the appeal and the caveat — features and pricing can still move, and a free tier that is really a beta can change shape under you.
A website one AI turn at a time
Cr34te.it is a site that anyone can rewrite. You copy the instructions, tell your AI what to change, paste the result back, and the site updates — but only one change lands at a time, because a queue enforces it, and every version stays in history so any earlier state can be restored. It works with Grok, ChatGPT, Claude and Gemini, and there is a mode for existing agent chats plus a URL to copy for coding agents. There is a payment option to skip the queue.
The queue is the interesting part. Without it, a public page editable by strangers' agents is a race, and the last writer wins by accident rather than by agreement. The honest caveat is on the page itself: anonymous changes store the submitter IP address for up to 30 days, for security and accountability. That is a reasonable trade for a public canvas, but you should know it is there before you paste.
Sessions that survive the machine
Vibivibi solves a narrower annoyance: the session you built on your laptop is stuck on your laptop. You push a Claude Code, Codex CLI, OpenCode or Pi session with one CLI command and pull it onto another machine, where a resume carries on with the full history, or you send it to a teammate. Encryption happens on your machine with X25519 and AES-256-GCM, keys stay with you and your recipient, and the service stores ciphertext it cannot read.
Every push keeps earlier versions, so you can pull an old one back if a session goes sideways, and one id follows a session however many machines it visits. Free for two machines and 200 MB, paid above that. It is a small thing that removes a real friction: the moment you switch machines, an agent's context is normally gone.
Why this layer matters
None of these are impressive in isolation. Together they describe the missing plumbing of agent work: an artefact that outlives the session, a place the team can see it, a way for someone else to change it, and a copy that is not tied to one laptop. The agents got good at producing output a while ago; the tooling for handing that output to a human is still being built, and these four are a reasonable sample of what it looks like.
