发现了一个能让你的GPT模型额度翻倍的方法

Codex 体感依旧消耗很快，但额度用完后，可以切到网页端 GPT 继续接力

由于网页端chat和Codex的额度是分开计算的，因此你可以享用几乎双倍的GPT模型，一直用Sol跑也不用担心

具体主要是配置这个工具：https://github.com/Waishnav/devspace…

通过MCP将本地文件提供给网页端GPT，你就可以直接在网页端继续任务开发了

另外，你也可以连接GitHub插件，通过分支和 PR 来完成修改，具体见引用帖

Waishnav/devspace

Source: https://github.com/Waishnav/devspace

DevSpace

Bring a Codex-style coding workflow to ChatGPT.

Give ChatGPT a secure connection to your own machine and Turn ChatGPT into Codex

DevSpace is a self-hosted MCP server that lets ChatGPT read, edit, search, and run code in your real local projects — your files, your tools, your terminal — without uploading anything to a third party. You run it on your machine, expose it through a tunnel you control, and approve the connection with a password only you have.

Sponsors and Special Thanks

DevSpace is open to new sponsors. Get in touch to become one.

Installation

DevSpace requires Node >=22.19 <27.

Install the DevSpace CLI:

npm install -g @waishnav/devspace

Then initialize DevSpace:

devspace init

Or run it without a global install:

npx @waishnav/devspace init

During setup, DevSpace asks for:

• where you will use it: ChatGPT, Coding Agents, or both
• which Coding Agents DevSpace may use

If you select ChatGPT, setup also asks which local project folders it may open and for your public HTTPS base URL from Cloudflare Tunnel, ngrok, Pinggy, Tailscale Funnel, or another reverse proxy. A Coding Agents-only setup asks neither question: local commands use the current Git project, or the current directory outside a repository.

Use the public origin without /mcp during setup:

https://your-tunnel-host.example.com

You will configure your MCP client with the public /mcp URL after setup. Run devspace serve when using ChatGPT. For Coding Agents, setup prints a skills command and lets the Skills CLI handle installation.

When the client connects, DevSpace opens an Owner password approval page. Enter the Owner password printed by devspace init. It is also stored in:

~/.devspace/auth.json

Keep that password private.

Connect Your MCP Client

The default local endpoint is:

http://127.0.0.1:7676/mcp

Most users should connect through a public HTTPS tunnel:

https://your-tunnel-host.example.com/mcp

Using DevSpace as an MCP connector isn’t against OpenAI’s Usage Policies — it’s a standard custom App/connector setup, and writing or running code isn’t a restricted use case. But your account is governed by your usage, not by DevSpace. Don’t point it at anything that would violate your provider’s terms. Used normally, you’re fine. (Based on OpenAI’s Usage Policies and Service Terms as of June 2026.)

What ChatGPT Can Do

Once connected, ChatGPT can open one of your approved project folders as a workspace. From there, it can inspect the repo, make scoped edits, run commands, and show you what changed.

DevSpace gives ChatGPT tools to:

• read, write, and edit files inside the opened workspace
• search code and inspect directories
• run shell commands for tests, builds, git, and package scripts
• use isolated Git worktrees for parallel coding sessions
• follow project instructions from AGENTS.md and CLAUDE.md
• discover local agent skills from your skill folders
• show tool cards and optional change summaries in ChatGPT Apps-compatible hosts

Mental Model

DevSpace is remote access to selected local folders.

You decide which roots are allowed. The MCP client still has powerful local capabilities inside an opened workspace, including shell execution. Treat a connected client like a trusted coding partner with access to your machine.

For a normal ChatGPT coding session:

1. Start your tunnel.
2. Run devspace serve.
3. Connect the MCP client to your public /mcp URL.
4. Approve the connection with the Owner password.
5. Ask ChatGPT to open a project inside one of your allowed roots.

Platform Support

DevSpace supports Linux, macOS, and Windows environments with a Bash-compatible shell.

Run this to inspect your local setup:

devspace doctor

Documentation

• Setup Guide
• ChatGPT Coding Workflow
• Configuration Reference
• Native File Download
• Security Model
• Troubleshooting Gotchas

Philosophy

Every piece of software is becoming conversational. Natural language is redefining how we interact with tools, workflows, and systems.

My bet is that ChatGPT becomes the operating system for everything. Once we reach AGI, we will simply talk to ChatGPT, and it will prompt, coordinate, and orchestrate sub-agents that set up the right loops for us.

We are not there yet.

DevSpace is one attempt to fast-forward that future: a way for MCP-capable hosts like ChatGPT and Claude to work directly with local project files through explicit, inspectable tools.

Built by Waishnav

I’m Waishnav. I like building opinionated products and tools, and Artifacts is one example.

This year, I began my journey to build a one-person, multi-agent company capable of generating millions in revenue. If you want to follow the failures, wins, lessons, and everything in between, come hang out with me on X.

More from me

Project	About
GitCMS	Modern CMS and tooling for markdown based content sites — built for agents and humans. Visual editing, editorial workflow, and ChatGPT/Claude content agents, with every post and page stored as files in your repo. Learn more.

Local Development

For working on DevSpace itself:

npm install --include=dev
npm run dev
npm run typecheck
npm test
npm run build
npm run start

Sac (@Saccc_c): GPT 5.6 Pro作为OpenAI目前最强大的模型，在代码开发等任务的问题解决能力都是超一流，但很多人可能还不知道如何使用它

正确打开方式如下：

1、将本地项目初始化为 Git 仓库并推送到你的GitHub上