Step 1
Shape the task
Use a collaborative Markdown-style editor, files, images, links, and Instant Context. Ask LatchLoop to challenge the idea or create a plan, then implement that plan into the task.
LatchLoop for software
LatchLoop gives teams the complete path from an idea to a reviewed pull request: collaborative task writing, Instant Context, planning, model and harness choice, branch-confined cloud execution, previews, code review, and follow-up from any device.
Give every teammate a clear way to direct agents, review work, and understand the decisions behind it.
Why the interface matters
Long-running agents need more than a small prompt box. LatchLoop keeps the full editable task visible beside the agent activity, so the original intent, the plan, the implementation, and every requested change stay connected. It acts as the project record and the coding workspace without making the command line the required interface.
How LatchLoop works
Step 1
Use a collaborative Markdown-style editor, files, images, links, and Instant Context. Ask LatchLoop to challenge the idea or create a plan, then implement that plan into the task.
Step 2
Select LatchLoop’s harness and any supported provider, sign in with ChatGPT, or trigger Codex or Claude Code through Agent Client Protocol with supported subscription-backed access. Goal Mode can continue until the stated result is verified.
Step 3
Every paid plan includes cloud-sandbox hours, and teams can launch as many concurrent cloud runs as needed. Each cloud coding run is deterministically confined to the task’s assigned branch. LatchLoop guards dangerous commands, requests approvals when needed, and opens a pull request with a written description by default.
Step 4
Open deployment URLs, run local previews, click an element to request a change, inspect the diff, use the built-in editor and terminal, and send follow-up messages from desktop, web, or mobile.
Sign in with ChatGPT, run Codex or Claude Code with supported subscription-backed access, or bring supported provider keys without token markup. LatchLoop is focused on the best workflow, not promoting one foundation model.
Share projects, assign tasks, co-edit descriptions, and send attributed direction on your own or a teammate’s task. Everyone can see what the people and the agent contributed.
LatchLoop does not train models on your code or persistently store your codebase. Every paid plan includes cloud-sandbox hours, and teams can launch as many concurrent runs as needed; code is accessed there only for the run, and cloud agents can also run without downloading it to a sandbox. Cloud coding runs stay on their assigned task branch, dangerous commands are guarded, and task message history can be deleted.
Research the market
parallel coding-agent command center
Compare LatchLoop and Conductor.build for parallel coding agents, cloud sandboxes, multiplayer collaboration, models, pull requests, and team pricing.
AI code editor
Compare LatchLoop and Cursor for AI coding agents, IDE workflows, background tasks, code context, collaboration, and pull request handoff.
AI pair programmer and cloud agent
Compare LatchLoop and GitHub Copilot for coding agents, issue assignment, pull requests, team collaboration, knowledge work, model choice, and automation.
AI IDE and agent command center
Compare LatchLoop and Windsurf for AI coding agents, IDE workflows, cloud agents, task management, and pull request collaboration.
autonomous AI software engineer
Compare LatchLoop and Devin for autonomous software engineering, background agents, ticket workflows, PRs, collaboration, and cost control.
AI app builder
Compare LatchLoop and Same.new for full-stack AI app building, GitHub sync, deployment, collaborative tasks, and product engineering workflows.
AI full-stack app builder
Compare LatchLoop and Lovable for AI app building, full-stack prototypes, GitHub workflows, task delegation, and pull request review.
browser AI app builder
Compare LatchLoop and Bolt.new for AI app building, browser development, existing repositories, background agents, and pull request workflows.
cloud IDE and AI app agent
Compare LatchLoop with Replit Ghostwriter and Replit Agent for AI app building, cloud IDE workflows, background tasks, and pull request development.
Built by Velora. LatchLoop is created by a software company that has built products used by millions of people since 2009. The team uses LatchLoop to build and operate its own products, including Heights Platform, which serves more than 10,000 creator businesses.
Build as fast as you can think.
LatchLoop works where you do to build with you.