AI-native velocity, on the team you already have.
Lightsprint turns your existing devs, PMs, and designers into an AI-native product team. Plan visually, build, and ship together with parallel cloud agents, on the codebase you already run. No headcount growth required.
“Love how it’s able to execute my plans in one-shot.”
VP of Engineering, Warmly.ai (Series A)
The founder’s dilemma
AI is moving faster than your hiring plan.
Investors expect you to be AI-native. Competitors are shipping in days, not sprints. But hiring an AI-native team takes 6+ months, and rebuilding the one you have risks the codebase your customers depend on. Lightsprint makes the team you have today AI-native, on the product you already run.
How Lightsprint helps you ship
From requirements to production, in one platform.
Plan
Visual plans, not walls of text. See UI options styled to your app with a full working preview of the change before you approve. Codebase, history, and past decisions feed in automatically.
Execute
Parallel cloud agents run code execution in the background, with cross-agent conflict prevention. An automated project board gives real-time status to devs, PMs, designers, and managers.
Validate
Sandbox previews with shareable links for stakeholders. Automated scenario testing and guardrails. Releases tie back to metrics, closing the product loop and saving learnings to context.
What founders get
Capital-efficient velocity.
Ship faster
Compress weeks of work into days
- Parallel cloud agents on every requirement
- Plain-English requirement → real PR
- Instant shareable previews
- One platform, no tool-stitching
Expand capacity
Get more output per engineer hired
- PMs ship safely behind PR review
- Codebase guardrails enforced automatically
- No rebuild required. Works on your real code
- Onboarding-light for new team members
De-risk the bet
Stay AI-native without lock-in
- Model- and tool-agnostic by design
- Audit trail on every change
- Engineers approve every PR
- Compounding org memory you own
Why founders pick Lightsprint
Compounding leverage, not vendor lock-in.
Capital-efficient by design
Add AI-native velocity without doubling your eng team. Existing devs ship faster, non-engineers ship safely behind PR review, and your burn rate doesn’t move.
Compounding institutional memory
Every plan, decision, and task breakdown feeds a growing memory of your codebase and your team. The more you ship with Lightsprint, the better it nails long-horizon work in one shot.
Model- and tool-agnostic
Frontier labs are racing to lock you into their stack. Lightsprint stays neutral. You can swap models and tools as the frontier moves without rewriting how your team works.
Questions
What teams ask before they switch.
Will rolling out Lightsprint slow my engineers down?
Engineers stay in their normal Git workflow. Lightsprint outputs pull requests they review and merge. They don't change tools or write less code; they review more proposed changes (often from non-engineers) instead of writing them from scratch. Most engineering teams report higher throughput within a sprint.
What does Lightsprint cost compared to hiring more engineers?
A Lightsprint seat is a fraction of an engineer's loaded cost, and the value compounds across the team. Every PM and designer ships safely behind PR review, so existing engineers spend less time on small UI changes and more on architecture. Capital-efficient by design.
Are we locked in to a specific AI model or vendor?
No. Lightsprint is model- and tool-agnostic. You can swap underlying models as the frontier moves. Plans, decisions, and codebase memory live in your workspace, not in any single model provider.
Can non-engineers ship code without breaking production?
Yes. Every change goes through your existing pull-request review. Non-engineers describe what they want, pick from visual options styled to your app, and open a PR. Engineers approve before anything merges to main. Same safety as any other PR.
What happens if my engineers don't want to adopt it?
Engineers don't have to adopt anything new. Lightsprint outputs PRs in their existing Git flow. The adoption ask is for PMs and designers, who get a faster shipping path. Engineers usually warm up quickly once they see fewer “move this button” tickets in their queue.
How does Lightsprint compound output per engineer?
Cloud agents run in parallel in the background. Your team can have dozens of changes in flight at once, each on its own preview, instead of bottlenecked through one developer at a time. Combined with PMs and designers shipping safely behind PR review, that's where the capacity multiplier comes from.
Try it on your repo.
Connect your codebase. Describe a change. See the visual plan, preview it live, ship the PR. Free to start, no credit card required.