Note: Timelines are estimates, subject to change.

Backlog

Next up

In Progress

Done

Bind AI - Public Roadmap

In Review

Support Python Dependencies for Code Execution

Adding to backlog as per multiple feature requests. Please upvote if this is a priority feature for you.

Straico Integration

Notion Integration

Support OpenRouter

Confluence Integration

Gitbook Integration

From user feedback Scenario 1: I want to write a WordPress plugin, publish to GitHub, atuomatically maintain the code to keep up with version upgrades to PHP, WordPress, and other dependencies, and then automatically deploy the upgraded plugin version on my WordPress site.Scenario 2: I am not a programmer but would like to use the plugin code (available on Github) while maintaining the dependencies, manage bug fixes, add minor features from time to time, and update the ReadMe on Github.

Directly Deploy Code to Wordpress

Support code generation and direct integration with stripe checkout and payment links for web applications created with Bind AI

Support Stripe Integration

Support running Python in the terminal

Can the Agent model be switched on and off to remember its last status? I think it is always on by default.

Remember Last state for Agent & Models

Planned

High Priority

Push to Github

<ul><li>Currently users do not see the list of files sync, instead they see the status of the sync for the branch/repo.</li></ul>

Github Files Viewer in IDE

<ul><li>Robust enterprise-grade login and authentication system.</li><li>Platform stability (eliminate issues with credits, incorrect subscription status)</li></ul>

Platform stability & refactor

Add custom agent prompt or instructions for IDE.

Custom Agent for IDE

Generate HTML, React or NextJS Frontend from Figma URL

Figma to Code

Create a database, catalog, user login for your applications.

Support SupaBase Native integration with Bind AI

Revision History for IDE

Show remaining agent mode credits in IDE for all tiers and all users. (currently only supported for T6/T7)

Credits Monitor for all users

Currently, Bind AI supports code generation, and limited preview for html files.User request is to support the following:<ol><li>Import or Generate Boilerplate code for full stack web applications</li><li>Ability to Preview web applications which have multiple files and dependencies</li><li>Ability to deploy code for web applications to:<ol><li>Github</li><li>Hosted Server (e.g. Netlify, Vercel, Digital Ocean)</li></ol></li></ol>Priority for Languages/Frameworks to be supported<ol><li>Html, CSS, JS</li><li>React / NextJS</li><li>Python (Flask, Fast API)</li></ol>

Completed

General Full Stack Web Application with Live Preview (Similar to Lovable / Bolt)

Currently, Bind AI only supports previewing single page HTML pages.Preview is temporary and lasts only for a few minutes.Support:<ul><li>Previewing applications which have multiple files for html, css, js.</li><li>Permanently hosted URL for applications</li></ul>

Preview "Html + CSS + JS" applications with a permanent URL

Automatically Generate Boilerplate code

Projects will enable users to do the following:<ol><li>Save AI generated content, and code snippets</li><li>Save edited files from IDE / Code Editor</li><li>Organize Threads associated to the Project</li><li>Organize Uploaded Files associated with the Project</li></ol>

Projects to Organize files

Currently, Bind AI only supports uploads for xlsx, csv, docx files. Code files (such as .py) are not supported for uploads. Those are only supported via Github integration.This release will enable users to directly upload code files and make those available to AI.These files will also be available to view in a project directory.

Support Code extensions via File Uploads

Currently, chat threads are assigned a name after refreshing the page or switching the bot. It should instantaneously update Chat Thread Name as soon as the first query is made

Instantaneously update Chat Thread Name + Rename

Currently, Bind AI only supports a single seat for subscription. For this roadmap item, implement the ability to: 1. Invite team members (existing Bind AI users or new users) 2. Allow collaborating using existing knowledge bases and Custom GPTs (based on permissions)3. Share saved files and Project directories (with permissions)