Skip to content
All tool news

Tool desk · Updated daily

Tool news·Lovable·

Lovable Introduces In-App Commenting for Team Collaboration.

Lovable now lets teams comment directly inside apps, streamlining feedback and review workflows without leaving the development environment.

CW

Create With tool desk

1 source checked · 3 min read · 4 sections

ShareLinkedIn
Lovable Introduces In-App Commenting for Team Collaboration

Collaboration Meets Context

Lovable, the chat-based development platform that lets users build full-stack apps through conversation, has introduced in-app commenting. The feature allows teams to leave feedback, discuss proposed changes, and coordinate implementation directly within the apps they're building, according to a LinkedIn post from the company.

The update addresses a common friction point in AI-assisted development: the gap between reviewing what an AI has built and communicating what needs to change. Instead of switching between Lovable, Slack, email, or design tools like Figma, teams can now annotate and discuss features in the same environment where the code is generated.

Lovable frames the workflow as a tight loop: comment, discuss, and ship. Users can highlight specific UI elements or functionality, attach feedback, and loop in teammates without leaving the project. For non-technical stakeholders who rely on Lovable to prototype or build internal tools, the feature reduces the need to translate visual feedback into written prompts or separate task lists.

Why It Matters for AI-First Teams

The introduction of commenting reflects a broader shift in how development platforms are adapting to AI-generated code. Tools like Cursor, Windsurf, and Bolt have focused on enhancing the individual developer experience. Lovable, by contrast, has positioned itself as a collaborative environment where non-developers can participate in the build process.

This update builds on Lovable's recent push into enterprise and team-oriented features. The company recently launched an Academy with guided learning paths and founder templates, and introduced penetration testing powered by Aikido AI to help teams ship production-ready apps with security audits built in.

For teams building MVPs or internal tools, the ability to comment inline means faster iteration. A product manager can flag a broken flow, a designer can suggest a layout tweak, and a developer can confirm feasibility, all in one thread attached to the relevant screen or component.

How It Fits Into the Broader Platform

Lovable's core interface remains chat-based. Users describe features in natural language, and the platform generates React components, connects to Supabase databases, and deploys to production. Recent updates have expanded its capabilities beyond UI generation: it now supports code execution and file generation, allowing users to analyze data, create PDFs, or transform spreadsheets without touching the underlying codebase.

The commenting feature doesn't change how Lovable builds apps, but it changes how teams coordinate around them. For organizations using Lovable to replace traditional development workflows, the feature reduces context switching and keeps feedback anchored to the work itself.

Lovable has not disclosed whether commenting includes features like task assignment, thread resolution, or integrations with project management tools. The LinkedIn post describes the update as a way to "give feedback and discuss changes right where you're building," but details on permissions, notification settings, or version control integration remain unclear.

What's Next

The update arrives as no-code and AI development platforms increasingly compete on collaboration features, not just on how fast they can generate code. Bubble has long offered team workspaces and version control. Glide and Softr have added commenting to their app builders. Lovable's approach differs in that it integrates feedback directly into a chat-driven workflow, where the next message could be a revision prompt based on the comment thread.

For teams already using Lovable to ship apps without writing code, in-app commenting should streamline the review-to-implementation cycle. For new users evaluating the platform, it's another signal that Lovable is building for teams, not just solo builders experimenting with AI-generated prototypes.

Sources

1 checked

How we cover tool news: Create With's tool desk drafts these reports with AI from the sources listed above and checks them against those sources before publishing.

Worth passing on?

ShareLinkedIn

Go deeper on Lovable

Related reading, watching and going.

Everything on Lovable →

The briefing

2 Jun 2026

AI Hackathon UK: Build Apps with No Code in 48 Hours

Join Create With's online & in-person AI hackathon June 2026. Learn vibe coding to build apps without technical skills. Supporting Brighton charities. Register now!

Read →

The briefing

19 May 2026

How to Migrate Your App from Lovable to Claude Code in 2025

Step-by-step guide to migrating your Lovable app to Claude Code. Learn how to move from Lovable's managed platform to a stack you own and control.

Read →

The briefing

12 May 2026

The Ultimate Cheap & Scalable Stack for AI Agent Development

Discover the latest AI agent tools and vibe-coded apps from No-Code Poland. Learn about Bubble's AI assistant, Lovable's security standards, and more.

Read →
36 min

Podcast

55. We're Back! Conference Recap, Running Events with AI & Self-Healing Apps

James and Kieran return to the Create With Podcast after their summer break to recap the 2026 Create With Conference in Brighton. They discuss how 550 attendees experienced workshops, a charity hackathon where functional apps were built in 30 minutes, and an innovative conference operating system built entirely with AI. The episode covers the latest developments in AI development tools including Anthropic's Fable model, scheduled tasks in Codex, and self-healing applications using PostHog.

Watch now ↗
29 min

Conference

AI Lets You Build Everything—Here’s Why You Still Never Launch

Tom Wesolowski, owner of NoCodeRefactoring.com, delivers a conference talk exposing how AI's ability to build anything has created a new problem: chronic overbuilding that prevents launches. Using a real marketplace project as a case study, he demonstrates how an 80% scope reduction transformed a stalled four-month development into a revenue-generating product launched in two weeks. The talk provides a practical framework for identifying the minimal viable customer loop and postponing everything else until real user demand validates the need.

Watch now ↗
34 min

Podcast

My Daughter Built a Website Business, Claude Design First Look & Going All-In on Cloudflare

James and Kieran discuss practical AI-powered development through real-world examples, including a seven-year-old building a website business with Claude Code voice mode, Anthropic's new Claude Design tool, API security challenges in the AI agent era, and Cloudflare's expanding AI infrastructure offerings. The episode covers hands-on experiences with vibe coding, emerging design tools, and the evolving landscape of AI-assisted development.

Watch now ↗

Latest tool news

What else changed this week.

All tool news
VercelDigest

What Vercel Shipped in Late October

Vercel shipped quicker static deployments, four AI Gateway models, more free domain choices and new CLI controls in late October. The changes cover developers testing sites…

Vercel

Vercel Adds Submit_feedback to Its MCP

submitfeedback is a new Vercel MCP tool that lets agents and harnesses send bug reports, friction reports and feature requests directly to the Vercel team. Feedback can include…

The Create With Briefing

Don't watch forty changelogs. Read one email.

Every Tuesday: the tool changes worth knowing, real business use cases, and what's on near you. Free, unsubscribe any time.