CodeCollab vs CodeTogether

CodeCollab is a browser-based shared workspace for pair programming, technical interviews, teaching, and team brainstorming. Rooms provide real-time multi-cursor editing with shared cursors, selections, and keystrokes. The editor offers syntax highlighting, bracket matching, and language-aware indentation for 15 languages. A shared canvas can sit beside the code for architecture sketches, flows, and other ideas. Users can share secrets protected at rest with AES-256-GCM, expiry timers, and instant revocation. Connections use HTTPS and negotiate TLS 1.3 with compatible browsers, but secrets are not end-to-end encrypted because CodeCollab holds the key. Code is not compiled or executed on the service. Unclaimed rooms are deleted after seven days; claimed rooms remain until deletion or account closure. The Free plan costs nothing, while Pro costs $49 a month. CodeCollab is operated by Zeppl Studios in Lisbon.

CodeTogether helps organizations track the cost and value of AI-assisted software work, with real-time collaboration across IDEs. It records AI spending and human time in IDEs, terminals, and agent sessions, then assigns a price and value to delivered pull requests and calculates value per dollar. Teams can code, debug, and review together, joining from an IDE or browser. Plugins are listed for VS Code, IntelliJ-based IDEs, Eclipse, and Visual Studio; a plugin can track agentic command-line tools running inside that IDE. CodeTogether is offered as SaaS or for on-premises deployment inside a private network. Starter costs $10 a month per developer for up to 25 developers, while Business costs $49 a month per developer for unlimited team size; both list a 10% discount for annual licenses. Enterprise pricing is by custom quote. A free plan and free trial are listed. CodeTogether requires SSO for authentication. Its AI documentation currently lists only GitHub as a source-control connector, without Bitbucket, GitLab, or Azure DevOps connectors. The company says it does not store code or train on customer data.