Builder.io
Builder.io
‹ Back to blog

AI

Announcing Builder 2.0: Collaborative Coding with Claude and Codex

April 8, 2026

Written By Steve Sewell

The entire modern software lifecycle was built around one assumption: writing code is slow and expensive.

Every process that followed made sense under that constraint. You spec before you build. You design before you code. You align stakeholders before a developer writes a single line. When code costs 10/10 effort to produce, spending 9/10 effort on planning to avoid writing the wrong code is a perfectly rational investment.

AI broke that assumption. It can turn ideas into working code in seconds.

And yet, you're probably still running the same playbook from when code was expensive. AI tools got added to individual steps (a coding assistant here, a review bot there) without changing how the team ships.

Individual developers got faster. Teams didn't.

Comparison of Legacy SDLC with many back-and-forth loops between Idea, Spec, Design, Prototype, Code, Review, and Ship stages versus AI-Native SDLC where AI streamlines the early stages into a single forward flow from Idea directly to Code, Review, and Ship.

Go from idea to code to iteration to ship.

The core loop is simple: build something, put it in users' hands, collect feedback, improve. Everything outside that loop is assumption management.

This is the workflow AI enables. A different operating model in which you begin with code rather than end with it.

Builder 2.0 is built for this new workflow. We raised $67M to build the first collaborative AI development platform where entire teams build together with agents.

Today's AI coding tools are single-player. One developer, one terminal or IDE, one AI assistant. That's powerful for the individual, but software is built by teams.

Builder 2.0 treats collaboration as the core architecture, baked in from day one. Engineers, designers, PMs, and stakeholders all work in the same environment, on real code, with real design systems, shipping to production through your existing CI/CD pipeline.

Workflow diagram showing PM, Design, and QA collaborating in Builder.io's visual editor while Dev works locally with AI coding tools, connected by npx builder.io push and pull commands to sync changes between the two environments.

A common workflow starts with an engineer in Claude Code, Cursor, or Codex building a feature against the local codebase. They push the branch to Builder. From there, the rest of the team takes over.

A designer opens the branch in Builder, sees a live visual preview of the implementation, and makes pixel-level adjustments or prompts the AI for changes. Builder pushes the updates to the same branch. The developer reviews the final diff and merges.

PMs, marketers, QA, and other stakeholders do the same. They open the live implementation, flag issues directly in context, and make changes themselves when they can. By the time the branch comes back to the developer, the broader team has pressure-tested the requirements against the real thing. The spec that was wrong on paper got corrected on the real product.

The code is the starting point. The whole team takes it to the finish line without pulling engineering back in.

A Slack message mentioning @Builder.io to fix a bug automatically triggers a branch creation, and a Jira ticket assigned to Builder.io Bot similarly kicks off a new branch — both shown feeding into an in-progress kanban board with active branches like sales-attribution and contact-update.

Work doesn't always start in code. Sometimes it starts with a Slack message. Sometimes a Jira ticket.

Builder 2.0 meets your team where they already are:

From Slack: Tag @Builder.io in any channel. The bot reads the context from the thread, links it to your project, and starts building. Updates and previews drop back into the thread, keeping everyone in sync.

From Jira: Assign a ticket to Builder or @mention it in a comment. It reads your acceptance criteria and user stories, creates a branch, and starts implementing. When it's done, it updates the branch based on developer feedback.

Diagram showing five roles — Dev, PM, Design, QA, and Mgmt — each connected by dashed lines to multiple AI agents below, illustrating that every team member can delegate work to and orchestrate their own agents.

Builder 2.0 is built for real-time collaboration. A PM spins up a dedicated instance on a fresh branch and starts building immediately. A designer jumps into the same project and refines the UI using the actual design system. An engineer reviews the code. All of this happens in parallel. Everyone sees changes as they happen.

Think Google Docs, but for code.

Real-time cursors show who's working where. Changes propagate instantly. Everyone works in the same system, contributing directly to the codebase alongside agents. One workflow. Zero handoffs.

A GitHub pull request showing a code diff where Builder.io Bot added TypeScript types to revenueData, with a teammate requesting the change via a PR comment and a "Changes approved" badge confirming the PR passed review.

Before any change moves to a pull request, it passes through the team first. Teammates get tagged directly for review and feedback. Organizations can set up approval workflows that must be completed before code progresses. By the time a change reaches the developer, it's already been through a meaningful review cycle.

On top of that, there's a layer of AI-powered review:

  • Review agents perform static analysis, flag style violations, catch security vulnerabilities, and identify performance issues before a human reviewer even looks at the PR
  • AI validation checks generated code against your ESLint rules, accessibility standards, and performance budgets
  • Automated fixes let Builder's agent autonomously resolve flagged issues, push the fix, and update the PR

Every change ships as a pull request with a clear description. Engineers approve everything before it goes to production. Your team reviews and merges using the same tools they already know.

Builder.io kanban board showing dozens of agent tasks across four columns — In Progress, In Review, PR Open, and Merged — demonstrating how teams can track hundreds of concurrent AI agents from a single view as cards automatically move through each stage

Builder 2.0 can run hundreds of agents simultaneously, each in its own cloud container with a full development environment and browser preview. Spin up tasks, track progress, and orchestrate agents across workspaces from a single view.

Assign a batch of tickets. Walk away. Come back to finished pull requests.

When an agent opens a PR, the card moves in your board, giving instant visibility into everything your team has running.

A CRM sales dashboard built by Builder.io agents with a passing test overlay showing crm-dashboard.test.ts —  all three checks (Load CRM dashboard, Test UI interactions, Verify success state) passed, demonstrating agent-based QA that automatically validates its own code.

Builder 2.0 also includes agent-based QA testing. Agents automate a browser to click through your updates, find bugs, and send videos of their findings. They write the code, then validate it themselves, catching issues before any human needs to.

Join the waitlist

Builder.io's Figma-like visual editor with a style panel on the left for adjusting layout, alignment, and spacing, while multiple collaborators simultaneously edit a live analytics dashboard that outputs production-ready code.

Builder has always been a visual-first platform, and that heritage runs deep in 2.0. A Figma-like editor lets anyone adjust layouts, tweak styles, and see changes reflected in real production code. The code your CI/CD pipeline deploys.

Design system enforcement means every change respects your existing component library. No style drift. No one-off components that bypass the system. The AI outputs code using your tokens, your components, your patterns.

Figma-to-code using the plugin converts designs into React, Vue, Svelte, Angular, or any of a half dozen other frameworks. It maintains layer hierarchy and converts Figma constraints into responsive CSS.

Prompt-driven changes let anyone describe what they want ("swap this table for a bar chart," "move the CTA above the fold") and see it built instantly, in code, using the design system.

A designer adjusts a component's layout without knowing React. A PM changes the copy on a landing page without understanding CSS. The visual interface makes the codebase accessible to the entire team while keeping everything in deployable, production-grade code.

Builder.io's model selector dropdown showing multiple AI models to choose from — Claude Haiku 4.5, Sonnet 4.6, Opus 4.6, GPT-5.4, Codex, and Gemini — with an Auto mode and per-model credit costs, letting teams pick the right model for each task.

Builder 2.0 supports Claude, Codex, Gemini, and more. The same models you already trust, wrapped in a collaboration layer built for teams. Pick the right model for the task, switch between them freely, and let your whole team benefit from each one.

Builder.io's Chrome extension active on a live sales dashboard, with the Pipeline element selected and a prompt dialog asking "What do you want to change?" — letting users describe edits to push back to the codebase.

Builder's Chrome extension connects directly to your running site, including localhost and auth-walled pages. Select any element, make changes visually, and push updates back to your codebase.

You can also capture any layout you find on the web and bring it into Builder's editor with its responsive structure intact.

Builder's CMS chat agent generating personalized landing page variations from Segment CDP data — the agent reads four customer segments (New, Enterprise, Returning, Churned), creates a tailored hero section for each, and offers to set up an A/B test across all variations.

The same agentic capabilities are coming to Publish, Builder's CMS.

A chat interface right inside Builder where an agent generates hyper-personalized pages from your CDP data, spins up variations, runs tests, analyzes results, and iterates autonomously. Content teams get the same AI-powered workflow that product teams get with 2.0.

The shift happening right now is about who gets to participate in building software and how teams coordinate around AI.

The most powerful AI coding tools in the world are designed for a team of one. Builder 2.0 is designed for the whole team. It's the layer that turns solo AI productivity into team-wide velocity.

Ready to see it in action? Try Builder 2.0 free

Scaling across a large team? Request an enterprise trial

Builder 2.0 lets you push your branch and hand off design review, PM feedback, and QA to the rest of your team
Try for free

Real-time collaboration, parallel agents, and visual editing. The whole team ships real code with Al now.

Try for free

Get the latest from Builder.io