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Lightsprint

AI-native product platform where developers, PMs, and designers plan, build, and ship software together using cloud agents.

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Product Overview

What is Lightsprint?

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Lightsprint is an AI-native product platform designed for the agentic era of software development. Unlike traditional AI coding tools that focus on individual developers, Lightsprint enables entire product teams—developers, PMs, and designers—to collaborate in one workspace. The platform covers the full software development lifecycle: teams describe requirements in plain English, Lightsprint generates visual plans grounded in the existing codebase, parallel cloud agents execute changes in the background, and every modification gets a live preview URL before being submitted as a pull request. Built for real production codebases with existing users and infrastructure, Lightsprint works with tools teams already use including GitHub, Linear, and Slack.


Key Features

  • Visual Planning with Codebase Context

    Describe requirements in plain English and receive visual plan options styled to match the actual app, enabling team alignment before any code is written.

  • Parallel Cloud Agents

    Multiple cloud agents execute changes simultaneously in Lightsprint's infrastructure, running in the background while teams continue working on other tasks.

  • Live Preview & PR Workflow

    Every change gets a live URL for click-through testing like a real user experience, then opens a pull request for engineer review and merge.

  • Model & Tool Agnostic

    Works across frontier AI models and integrates with existing team tools including GitHub, Linear, and Slack without vendor lock-in.

  • Compounding Institutional Memory

    Every plan, decision, and task feeds a growing memory of the codebase and team patterns, improving performance on complex, long-horizon work over time.


Use Cases

  • Cross-Functional Product Development : PMs, designers, and engineers collaborate in one workspace to plan features visually and ship code without traditional ticket handoffs.
  • Rapid Feature Prototyping : Teams can describe new features and see live previews within hours, enabling faster iteration on product ideas before full engineering investment.
  • Non-Engineer Code Shipping : Product managers and designers can safely ship code changes through PR review workflows without requiring deep technical expertise.
  • Engineering Velocity Optimization : Development teams focus on high-impact work while cloud agents handle routine feature implementation and requirement translation tasks.

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