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Prove every change works
before shipping
Every change comes with verification screenshots, a recording and a full QA report before engineering merges.
The Pay button stays disabled after removing a promo code.
Test the edge cases,
not the setup.
Agents verify their own work in a sandbox before review, so QA starts from evidence instead of a local build.
Check every changed screen in verification screenshots
Agents capture screenshots of each changed screen in their sandbox, so you see the result before you open the preview.
Watch a recording of the change in action
Every task includes a video recording of the change running, so you replay the flow instead of reproducing it by hand.
Get a full QA report before review
Each change comes with a QA report of what was tested and what passed. Engineers read it alongside CI before they merge.
Now everyone on your team can
ship.
Describe the change in plain English. LightSprint builds it, spins up a live preview, and prepares for engineering review.
Works with tools you trust
Built for the workflow you already
have.
LightSprint plugs into the tools your team already uses, from tickets and chat to complex codebases across multiple repos.
Works with your stack
Start a task from Linear, Jira or Slack, and ship it as a PR to GitHub, GitLab or Bitbucket. No migration, no new process, just changes that fit the way your team already works.
- GLM-5.2
- Gemini 3.7 Pro
- GPT-5.6 Luna
- GPT-5.6 Sol
- Opus 5
- Sonnet 5
- Kimi-K3
Any model, bring your own subscription
Bring your own API keys or existing Codex and Claude subscriptions, or pick any model through OpenRouter. No lock-in, no markup on inference.
The software factory trusted by teams
Frequently asked questions
How is LightSprint different from Claude, Codex, or Cursor?
Claude, Codex, and Cursor are coding agents. LightSprint is the workspace that lets your entire product team use them together.
Instead of agent sessions living with one developer, LightSprint gives your team shared context, shared skills, cloud sandboxes, live previews, automated verification, and an approval workflow before anything ships.
You can keep using the models and coding tools you already like — LightSprint adds the collaboration and guardrails that turn them into a software factory for your whole team.
Is LightSprint more expensive than using AI models directly? Can I use my existing subscription?
LightSprint doesn't mark up model inference.
Bring your own API keys or use existing Codex and Claude subscriptions, or choose another model through OpenRouter. You're paying LightSprint for the infrastructure around the models: cloud execution, shared context, previews, collaboration, testing, and team controls.
How secure is LightSprint? What happens to our code and data?
Your team controls which repositories and models LightSprint can access.
Work runs in isolated cloud sandboxes, and those environments are destroyed after the work is complete. You choose the model provider, and LightSprint can also work with your own LLM gateway.
Every code change remains auditable through your existing GitHub workflow, and nothing can bypass the approval rules your engineering team configures.
What tools does LightSprint support? Will it fit into our existing workflow?
LightSprint is built to work with the stack you already have rather than replace it.
Connect your existing codebase and repositories, keep your GitHub review and CI workflows, and use agents like Claude and Codex. Your team can also send work into LightSprint from tools such as Slack and Linear.
Engineering sets up the environment, shared skills, and guardrails once, then the rest of the team can build within those constraints.
I'm not an engineer. Can I actually use LightSprint safely?
Yes — that's one of the main reasons LightSprint exists.
You describe what you want in plain English, plan the change visually, launch an agent, and review the result in a live sandbox without needing to understand Git or set up a development environment.
Non-engineers don't get a shortcut around engineering. Every change follows the approval workflow your team configures, so engineers still control what reaches production.
