BRB

The continuity layer for AI-built software

AI coding is no longer limited by code generation. It is limited by continuity. Projects lose context when users switch agents, pause work, or return later. BRB turns that fragmentation into a persistent, synced, recoverable system.

Local-first

User keeps coding normally.

Always synced

Remote agent mirrors live project state.

Agent-ready

Conversation, commits, and restore points stay current.

Problem

AI coding is productive, but operationally fragile

Context disappears

A user starts with one agent, runs out of credits or changes tools, and the next agent has to reconstruct intent from scraps.

Git is too technical for the new buyer

The fastest-growing user base wants the benefits of history and safety without having to manage branches, commit discipline, or careful handoffs.

Sessions feel disposable

Valuable reasoning stays trapped inside local chat logs instead of becoming part of the project record.

Undo is weak

Agent-generated work can move quickly, but rollback is often local, brittle, or too hidden for non-technical users.

Insight

The next major developer product is not another coding model

It is the system that preserves momentum when the human, the model, and the working context keep changing.

1

local repo stays the user’s natural workspace

2

remote agent becomes the durable project memory and sync target

3

conversation plus code plus recovery become one coherent system

Solution

BRB keeps AI-built projects continuously alive

Automatic sync

Users work in a local git repo. BRB watches changes and mirrors them to a Cloudflare-hosted repo agent after a natural pause.

Automatic commits

The remote agent creates commits automatically, with commit messages generated from code changes and conversation context.

Conversation continuity

When Codex is working in that repo, the project also receives the live conversation history that explains what was asked and what was done.

One-click recovery

Every synced commit creates a restore point, giving non-technical users a safe way to reverse agent work.

Why now

Software creation is shifting from writing code to steering agents

More non-traditional builders

New users want output, not process overhead.

More agent switching

Users already move between Codex, Claude, Cursor, and others.

More need for continuity infrastructure

The missing layer is not generation. It is state, memory, and recoverability.

Product

The user experience is simple because the system underneath is not

What the user does

Connect a local repo once
Keep coding locally
Optionally run the watcher or background daemon
Open the dashboard to see status, history, and recovery

What BRB handles

delta sync
debounced batching
remote commits
conversation sync
sync-state tracking
restore checkpoints

Defensibility

Why this is more than a thin workflow wrapper

Persistent project state

The repo agent becomes the durable operating model for each project.

Cross-agent continuity

The value compounds as more sessions, commits, and restores accumulate over time.

Workflow gravity

Once a user depends on live sync, recovery, and history, leaving becomes painful.

Architecture

Built for a world where every project has an agent behind it

Cloudflare-native

Each project maps to a durable Cloudflare agent that stores files, sync status, commit history, and restore points.

Local-first CLI

A lightweight local companion process watches repos, batches changes, and keeps the remote state current.

Why this matters

The product can grow from “sync and continuity” into a broader project operating layer for AI-native software teams.

Proof

The product is already working across the critical path

Live local-to-remote sync

Changes are watched, batched, synced, and committed automatically.

Context-aware commit messages

Messages are tested across frontend, auth, API, database, tooling, and bug-fix scenarios.

Recovery built in

Every synced commit creates a restore point that can be applied from the UI.

Expansion

What this becomes if it wins

Near-term

more agent sources beyond Codex
richer sync intelligence
better recovery and activity analytics

Longer-term

team coordination around agent-built projects
project-level memory and workflow state
the canonical continuity layer across coding agents

Close

BRB is where AI coding turns into a durable product workflow

Every serious AI-built product will need a system that keeps code, context, recovery, and momentum alive between agent sessions. That is the category BRB is building.