# LightSprint — Software Factory for Product Teams > LightSprint is an AI software factory for product teams. PMs, designers, and engineers plan, build, review, and ship software together on an existing codebase using shared coding agents and isolated sandboxes. Like Google Docs for agents. This file is generated from the site's source content. It is a curated index for AI assistants, not a crawler permissions file. For crawler permissions, see `/robots.txt`. ## Key Answers - What LightSprint's software factory does: turns plain-language product requests into code changes, live sandbox previews, verification artifacts, and pull requests for engineering review. - Who LightSprint is for: product managers, designers, operators, founders, engineers, and engineering leaders working together on an existing codebase. - How delivery stays controlled: agent work runs in isolated sandboxes and follows the team's existing repository permissions, CI checks, required reviews, and merge controls. - How it fits the stack: teams can connect multiple repositories, use Claude or Codex, keep GitHub workflows, and create or sync work through tools such as Slack, Linear, and Jira. - How model access works: teams can use included credits or connect supported model subscriptions, API keys, or an approved model gateway. ## Core Pages - [Home](https://lightsprint.ai/): LightSprint is the software factory for product teams. PMs, designers and ops build in a shared cloud workspace while engineering controls every merge. - [Engineering](https://lightsprint.ai/engineering): LightSprint gives product and engineering teams shared coding agents, isolated sandboxes, live previews, automated verification, and engineer-controlled merges. - [Security](https://lightsprint.ai/security): LightSprint runs changes in isolated sandboxes and preserves repository access controls, GitHub reviews, CI checks, auditability, and engineer-controlled merges. - [Skills](https://lightsprint.ai/skills): A growing library of capabilities you can add to your project in one click. - [Pricing](https://lightsprint.ai/pricing): Compare LightSprint Free, Pro, and Enterprise plans for codebase-aware tasks, isolated sandbox previews, team collaboration, integrations, and governance. - [Blog](https://lightsprint.ai/blog): Ideas on agent orchestration, context engineering, and how engineers and PMs ship together when AI is in the loop. - [Careers](https://lightsprint.ai/careers): We're a small team rethinking the SDLC from the ground up. If you care deeply about craft and the people who use what you make, you'll fit right in. ## Comparisons - [LightSprint vs Claude Code: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-claude-code): Claude Code is the stronger choice for a developer who wants a terminal-first workflow and direct access to Anthropic models. LightSprint is the broader choice for teams that want Claude or other agents inside one shared, visual, governed delivery session with sandbox review and controlled merge authority. - [LightSprint vs Codex: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-codex): Codex is the stronger choice for a developer already standardized on ChatGPT and OpenAI who wants coding help across the CLI, IDE, web, and cloud integrations. LightSprint is the broader choice for teams that want Codex alongside other agents with shared context, live previews, QA evidence, and configurable engineering approvals. - [LightSprint vs Cursor: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-cursor): Cursor is the stronger choice for a developer who wants AI editing, completion, and agent work inside an IDE. LightSprint is the broader choice for product teams that need non-engineers and engineers to plan, steer, review, and ship together beyond one developer's editor. - [LightSprint vs Devin: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-devin): Devin is the stronger choice for an individual developer who wants to delegate an autonomous coding task directly to an agent. LightSprint is the broader choice for product teams that need shared planning, live sandbox review, reusable guardrails, and engineer-controlled delivery across PMs, designers, and engineers. - [LightSprint vs Jira: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-jira): Jira is the stronger choice for a large organization that needs deeply configurable work tracking, administration, and enterprise process support. LightSprint is the broader choice when Jira requests need to become governed agent work, live sandbox previews, and pull requests while existing Jira and engineering controls stay in place. - [LightSprint vs Linear: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-linear): Linear is the stronger choice for a team that primarily needs fast issue, project, cycle, and initiative tracking. LightSprint is the broader choice when the team needs to turn that tracked work into agent-built code changes, live sandbox previews, and engineer-controlled delivery without replacing Linear as the system of record. - [LightSprint vs Lovable: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-lovable): Lovable is the stronger choice for a non-technical maker who wants to create a new web app quickly from a prompt in a hosted environment. LightSprint is the broader choice for product teams changing an existing production codebase with shared context, live sandbox review, reusable guardrails, and engineer-controlled merges. - [LightSprint vs Replit: 2026 comparison](https://lightsprint.ai/compare/lightsprint-vs-replit): Replit is the stronger choice for a builder who wants a browser IDE, hosted runtime, agent, and deployment in one place. LightSprint is the broader choice for teams building on an existing repository that need cross-functional collaboration, isolated sandbox review, reusable guardrails, and controlled delivery through current GitHub and CI rails. ## Blog - [Software factory for GitLab and Bitbucket](https://lightsprint.ai/blog/software-factory-gitlab-bitbucket): Most AI software factories assume GitHub. Here's how to run one on GitLab or Bitbucket while keeping your merge requests, pipelines and approval rules. - [The self-driving company](https://lightsprint.ai/blog/self-driving-company): In a self-driving company, people choose the destination and agents do the driving inside limits the company sets. Here's what that takes, and why it can't stay inside engineering. - [LightSprint is like Lovable on your existing codebase](https://lightsprint.ai/blog/lovable-existing-codebase): Lovable can't connect to a repo you already have. LightSprint gives your team the same describe it, see it, ship it flow on your existing codebase, with live previews and pull request review. - [What is a multiplayer software factory?](https://lightsprint.ai/blog/multiplayer-software-factory): Most software factories are built for one engineer at a time. A multiplayer software factory lets the whole product team start, shape and review agent work on the real codebase. - [What is a software factory?](https://lightsprint.ai/blog/what-is-a-software-factory): A software factory turns requests into shipped software with a repeatable, quality-checked process. Here's where the term came from, how AI software factories work, and how to start one. - [The software factory needs to become a product factory](https://lightsprint.ai/blog/product-factory-for-product-people): A software factory answers whether something can be built. Product teams need to know what to build and whether it worked. That loop is product work, and it should be built for the PMs, designers and ops who do it. - [LightSprint raises $6.1M to help PMs, designers and ops ship on their real codebase](https://lightsprint.ai/blog/lightsprint-raises-6-1m): With $6.1M in seed funding led by 645 Ventures, we're helping everyone at a company direct agents on the real codebase, with engineering in control of every merge. - [When AI Builds Faster Than Your Team Can Agree: The AI-Native SDLC](https://lightsprint.ai/blog/ai-native-sdlc): Faster coding agents don't remove planning, review or testing. LightSprint keeps that work connected in shared sessions on your existing codebase. - [Why PMs & Designers Need Worktrees, but Don't Need to Know It](https://lightsprint.ai/blog/why-non-engineers-need-worktrees): Worktrees keep parallel software changes separate. LightSprint gives every ticket its own sandbox, so non-engineers get the safety without learning Git. - [The 5 Stages of AI Nativeness: From Copilot to an Agentic Software Factory](https://lightsprint.ai/blog/stages-of-ai-nativeness): A practical five-stage model for moving from individual AI assistance to an agentic software factory, covering repository readiness, team workflows, and governance. - [The Product Builder SDLC](https://lightsprint.ai/blog/product-builder-sdlc): Anyone with domain knowledge can become a product builder. Here is the six-stage lifecycle for turning an idea into a planned, previewed, production-ready feature on the real codebase. - [The New Product Builder: From Lovable to Claude to the Real Codebase](https://lightsprint.ai/blog/the-new-product-builder): Product managers and designers are moving from prototypes to production. The next generation of product builders will not stop at generating new apps. They will build safely on the real codebase alongside engineers. - [The Unbundling of GitHub Is the Biggest Opportunity in Developer Tools](https://lightsprint.ai/blog/unbundling-github): GitHub bundled code storage, pull requests, CI/CD, code review, and issues into one place built around humans typing code. Agents break that assumption. As the build collapses to near zero, every layer of that bundle comes loose, and the workflow gets rebuilt around the spec instead of the diff. Here's why we think the unbundling of GitHub is the largest opportunity in developer tools, and where LightSprint fits. - [Spec-Driven Delivery: Jira Was Built for Scrum. We're Building for What Comes Next.](https://lightsprint.ai/blog/manifesto-spec-driven-delivery): Scrum and Jira were built for a world where humans wrote every line. As agents one-shot the build, the bottleneck moves to the spec, to coordination, and to shared context. This is our case for a new SDLC, Spec-Driven Delivery, and the cadence that replaces the sprint, built to keep teams together as agents threaten to pull them apart. - [Agent-Native Engineering: When the Agent Becomes the IC and the Engineer Becomes the Manager](https://lightsprint.ai/blog/agent-native-engineering): Agent-native engineering isn't giving every engineer a coding agent. It's restructuring the team so agents are the ICs, engineers are tech leads, and PMs ship product themselves. Here's what changes, and what breaks if you don't catch up. - [Cloud Environments and Shared Skills: Keep Your Context When Your Engineer Gets Poached by Anthropic](https://lightsprint.ai/blog/cloud-environments-shared-skills): The next unlock for coding agents isn't smarter models. It's shared cloud environments and shared skills, so a team's hard-won context survives the people who built it. - [Outgrowing Lovable and Replit: When Prototypes Need a Production Home](https://lightsprint.ai/blog/lovable-replit-to-production): Lovable and Replit are great for the first idea. They start to crack the moment a real team, a real codebase, and a real customer show up. Here's the handoff that actually works. - [Harvey Built Their Own Software Factory. You Can Too.](https://lightsprint.ai/blog/harvey-built-their-own-software-factory): Harvey AI, valued at $8B+, built an internal platform called Spectre to move coding agents from laptops to the cloud. Every company using AI agents will need this. Here's what they learned. - [Why Local Development Is Going Away. Long Live Cloud Agents.](https://lightsprint.ai/blog/why-local-development-is-going-away): The shift from local coding agents to cloud-based execution is inevitable. Preview environments are trending toward instant and free. Here's why the future of development is in the cloud. - [Claude Code for product managers: a practical guide](https://lightsprint.ai/blog/claude-code-for-product-managers): How PMs use Claude Code: where to run it without a terminal, how to get started, the workflows that work, and how to take changes to your team's repo with engineers approving. - [Multiplayer Collaboration Is the Future of Development](https://lightsprint.ai/blog/multiplayer-collaboration-future-of-development): Coding agents made individual engineers 10x faster. But the rest of the product team still files tickets and waits. The next shift isn't faster agents. It's the whole team shipping together. - [SDLC of the Past vs SDLC of the Future](https://lightsprint.ai/blog/sdlc-past-vs-future): The software development lifecycle was designed for a world where writing code was the bottleneck. AI changed that. Here's what the new SDLC looks like. ## Careers - [Founding AE](https://lightsprint.ai/careers/founding-ae): Build LightSprint's first sales motion and help product and engineering teams adopt a collaborative way to ship software with coding agents. - [Head of Developer Relations](https://lightsprint.ai/careers/head-of-developer-relations): Be the voice between LightSprint and the builders and engineers who use it — grow the community, ship content that teaches, and own launches. - [Product Marketing](https://lightsprint.ai/careers/product-marketing): Shape how LightSprint explains a new way for product and engineering teams to build software together. - [Senior Software Engineer, Infrastructure](https://lightsprint.ai/careers/senior-software-engineer): Build the sandbox and cloud infrastructure behind LightSprint's collaborative coding agents, isolated previews, and safe path to review. ## Discovery - [Sitemap](https://lightsprint.ai/sitemap-index.xml): Complete search-engine sitemap, if available. - [Blog sitemap](https://lightsprint.ai/blog/sitemap.xml): Sitemap for blog posts published through the CMS. - [Robots policy](https://lightsprint.ai/robots.txt): Crawler permissions for automated agents.