The control plane for AI-native software delivery.
Lightsprint is the system of record for how your team and AI agents build software together. Plan visually, run parallel cloud agents, preview live, and ship every change as a reviewed pull request, with full auditability and governance across the codebase you already run.
No credit card required
“Love how it’s able to execute my plans in one-shot.”
VP of Engineering, Warmly.ai (Series A)
See it in action.
A minute on what makes Lightsprint different: plan visually, fire off cloud agents, preview live, ship a real pull request.
Works with the tools your team already runs
- GitHub
- Linear
- Slack
The enterprise gap
Coding agents are shipping code. Nobody is governing them.
Individual copilots are scattered across IDEs and laptops. Plans live in DMs. Approvals live in screenshots. Nobody can answer the basic questions a regulated business has to answer: who decided this, what was the agent told, what did it touch, and who signed off. Lightsprint gives leadership a single control plane above the agents, with the traceability, governance, and review your board already expects from every other production system.
How Lightsprint works for the enterprise
Intent in. Reviewed code out.
Define intent
Business and product leaders describe the change in plain English. Lightsprint reads your real codebase, applies org-level guardrails, and produces a visual plan with trade-offs and working previews before a single line of code is written.
Execute under control
Parallel cloud agents run the work in Lightsprint's infrastructure with cross-agent conflict prevention. RBAC, workspaces, and policy controls govern what each user and agent can touch. Every action is recorded against the identity that triggered it.
Review, ship, and trace
Every change becomes a real pull request against your repository. Existing CI, security scans, and reviewers run as they always have. The full thread, from business intent to merged commit, stays linked together for audit and post-release review.
Built for regulated, mission-critical teams
Velocity, with the controls your board expects.
Governance
Keep leadership in control of what gets built
- Org-level guardrails on paths, packages, and patterns
- RBAC, workspaces, and policy per environment
- Approval workflows before agents execute
- Plain-English intent captured before code is written
Auditability
Answer who, what, when, and why for every change
- End-to-end trail from intent to merged PR
- Identity-tied agent actions and approvals
- Exportable evidence for SOC 2, ISO, and internal audit
- Linked plans, previews, reviews, and metrics
Institutional memory
Stop losing context when people leave
- Living knowledge graph of decisions and patterns
- Codebase context preserved across teams and turnover
- Onboarding-light for new engineers and PMs
- Compounding org memory you own, not a vendor
No rip and replace
Sits on top of the stack you already run
- Pushes to your existing Git provider
- Existing CI, security, and review pipelines run unchanged
- Identity through your SSO
- Model- and tool-agnostic to avoid vendor lock-in
Why enterprises pick Lightsprint
AI velocity, without surrendering control.
A real control plane, not another copilot
Lightsprint sits above individual coding agents. One workspace, one policy model, one audit trail. Engineering leadership defines what agents can touch and what requires human review, instead of trusting each developer's local setup.
Traceability from intent to merged code
Every requirement, plan, agent action, preview, and approval is recorded and linked to the resulting pull request. Reconstruct any decision, prove any change, and answer any auditor in minutes, not weeks.
Institutional knowledge that survives turnover
Plans, decisions, and patterns feed a living knowledge graph of your codebase. Context lives in the system, not in someone's head. The next on-call engineer, PM, or agent never starts from scratch.
Questions
What teams ask before they switch.
How does Lightsprint give us a control plane over AI coding agents?
Lightsprint sits above individual coding assistants as a shared control plane. Every plan, parallel cloud agent, preview, and pull request runs through one workspace with org-level guardrails, role-based access, and a full audit trail. Engineering leadership defines what agents can touch, what conventions they must follow, and what classes of change require human review, before any code is written.
What does the audit trail actually capture?
Every requirement, plan revision, agent action, preview, and approval is recorded against the user (or agent) that performed it and tied to the resulting pull request. Reviewers, comments, and merges live in your existing Git provider. Together you get end-to-end traceability from business intent to merged code, exportable for SOC 2, ISO, or internal review.
Where does code execution happen, in your cloud or ours?
Cloud agents run in Lightsprint's infrastructure, but they push to your repository through your existing Git provider (GitHub, GitLab, Bitbucket). Code stays in the systems you already control and review. Previews run in isolated sandboxed environments tied to each pull request.
How is governance enforced when non-engineers ship code?
Every change, regardless of who initiated it, becomes a pull request that flows through your existing review, CI, and security checks. Org-level guardrails define which paths, packages, and systems are out of bounds and which patterns must be followed. PMs, designers, and ops describe intent in plain English; engineering still approves before anything merges to main.
Are we locked into a specific AI model or vendor?
No. Lightsprint is model- and tool-agnostic by design. You can swap underlying models and coding tools as the frontier moves without rewriting how your team works. Plans, decisions, and institutional context live in your workspace, not inside any single model provider.
How does Lightsprint preserve institutional knowledge across turnover?
Every plan, requirement, decision, and task breakdown feeds a growing knowledge graph of your codebase, patterns, and prior choices. When an engineer leaves or a new one joins, the context survives. The next person (or agent) picking up the work inherits the reasoning, not just the code.
How does Lightsprint integrate with our existing stack?
Lightsprint sits on top of the tooling you already run. Code lives in your Git provider, CI runs your existing pipelines, security and compliance scans run on every pull request, and identity flows through SSO. There is no rip-and-replace, and no parallel system of record to reconcile.
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