Creation got faster
An AI tool can turn a description into a working application in an afternoon. That part is genuinely solved for a growing set of problems.
Public beta
Build with AI. Ship with control.
Build with whichever AI works best for you. Shipvise gives the resulting application a controlled path from source to staging, production and ongoing operation.
Shipvise does not replace your agent or editor. Connect the source you already have, or use managed Git when you do not want to operate a repository yourself.
One controlled path from change to running production
- Revision Your change, captured and versioned
- Checks Build, healthcheck, secrets, dependencies
- Review Automated findings or a senior engineer
- Staging Isolated environment with its own URL
- Production Shipvise-managed or your infrastructure
Product
AI can build the application. Production still needs control.
The next problem is turning a generated application into something you can deploy, operate, update and recover with confidence.
A working prototype is not a production system
It may work in a preview, but production still needs a reliable runtime, separate staging, controlled updates, monitoring and a way back when a release fails.
The next step assumes knowledge most builders do not have
Git, branches, containers, environments, secrets, deployment, monitoring and rollback form a separate skill set—one most builders did not set out to learn.
Shipvise makes that step one path
Shipvise captures the change, builds and checks it, runs it on staging, applies the review level you choose, and promotes the approved release to managed or connected production.
MCP and managed Git
Do not know Git? You do not have to.
Shipvise gives an AI agent a controlled place to work. The agent can prepare a release; only an authorised person can approve production.
- AI agent
- MCP
- Controlled workspace
- Controlled change
- Staging
- AI or human review
- Approval → production
For developers
Keep your GitHub or GitLab workflow
Connect the repository and workflow you already use. Shipvise adds a controlled release layer around them.
For AI builders
Let Shipvise manage Git
Start through MCP without operating branches or pull requests yourself. The repository remains versioned and exportable.
The agent never gets direct production access. The agent works in a controlled branch and workspace. Checks, staging and explicit human approval remain mandatory before production; deeper review can be added when the change warrants it.
How it works
How it works
Five steps from an AI-built application to a controlled release that keeps running beyond the first deployment.
-
Build with any AI
Keep the tool you already use. Shipvise does not replace your editor or your agent.
-
Bring the application to Shipvise
Connect a GitHub or GitLab repository, upload a project, or let an AI agent talk to Shipvise directly. The source stays traceable whichever path you choose.
-
Validate the change
Platform checks provide the baseline. Use Review Credits for available tailored tests and optional senior review; AI review is a planned future feature.
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Deploy to staging
Use Shipvise-managed staging or connect your own environment to verify the built release away from users before production.
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Release and operate it
Approve and deploy the same release to a Shipvise-managed environment or your own infrastructure. Keep monitoring, rollback and the next controlled update in the same lifecycle.
Bring a repository—or let Shipvise manage Git
Keep the repository and infrastructure you already have, or let Shipvise manage Git and environments. MCP gives AI builders the same controlled workflow without requiring them to learn Git first.
GitHub or GitLab repository Limited beta
Connect an existing repository. Shipvise turns incoming changes into controlled revisions without changing how you work with source code.
Shipvise-managed Git Available in beta
Start without a repository. Shipvise versions the project behind the scenes, keeps its history traceable and lets you export the source later.
AI agent through MCP Available in beta
Let an MCP-compatible agent create the project and prepare controlled changes. It can deploy them to staging, but they cannot reach production without your explicit approval.
Reviews
Review is one part of release control
Every deployment gets baseline platform checks. Add automated or human review when the scope and risk justify it.
Platform checks Available in beta
The baseline included with every deployment.
- Build and container start
- Healthcheck against the running application
- Secrets detection in the source
- Dependency vulnerability scan
AI review — planned Coming soon
A planned fast, scalable change assessment; it is not available in the current MVP.
- Structured findings with severity and scope
- Risk score for the change, not for the whole application
- Concrete recommendations you can hand back to your AI
Senior review Available in beta
Optional human expertise for releases where additional confidence is worth it.
- Review of one release within an agreed scope
- Approval, rejection or requested changes
- Written reasoning you can act on
Fix Available in beta
A feedback loop from findings back to your AI, developer or an engineering fix.
- Resolve findings with your own AI
- Implement the fix yourself
- Or request engineering help from Progity
Neither automated checks nor human review is a guarantee that an application is free of defects. Both examine a defined change with a defined scope, and both reduce risk rather than remove it.
Release
rel_2f9c41
Revision
rev_8d10b7
Image digest
sha256:9f2b1e7c4a…d38e
Staging
rel_2f9c41
Production
rel_2f9c41
Promoted without rebuilding · sha256:9f2b1e7c4a…d38e
Release
The version you approved is the version that runs
Build once, verify on staging and promote the same release to production.
Shipvise builds your revision once. The same immutable image is tested on staging and promoted to production, identified by its digest—never rebuilt from a branch that may have moved on.
If something goes wrong, production can return to the previous verified digest without a new build.
Current productionRelease #42
Approved · Artifact sha256:9f2b1e7c4a…d38e
Rollback availableRelease #41
Approved · Artifact sha256:71b6aa…f02c
Bad release? Restore the previous verified version with one click—without rebuilding.
Who Shipvise is for
Non-technical builders
You know the problem. AI helps you build the solution. Shipvise handles the production layer you should not need to become an expert in.
Small teams
Run a managed production workflow—with staging, releases, logs and rollback—without building your own platform or DevOps team.
Engineering teams
Keep your repositories, AI tools and infrastructure. Add an independent control and release layer around them.
Senior review
Human expertise when it matters
When automated review is not enough, add accountable senior expertise to the same release workflow for an important or high-risk change.
Senior review comes directly from Progity
During public beta, the engineer building and operating the platform reviews the change directly.
Scoped to one change
A review covers one specific release within an agreed scope. It is not an audit of the entire codebase.
A vetted reviewer network
Over time, Shipvise aims to involve a vetted network of senior engineers with different specialisations.
No development project required
You can ask for one review, or one fix, without commissioning a full engagement.
Security
European operations
Shipvise is built and operated in the EU by David Hošek under the Shipvise by Progity brand. Managed environments use infrastructure in the Czech Republic from WEDOS Internet, a.s., and senior review is currently provided from the Czech Republic during European working hours.
SecurityShipvise is in public beta. We publish the security principles the platform is built on rather than compliance certifications we do not hold.
Bring your own AI
Build with the AI tools you already use.
Keep your preferred builder or coding agent. Your AI can change; the controlled production workflow around the application does not have to.
Direct MCP-capable tools
Codex, Claude, Cursor, Lovable, Replit and Bolt each support MCP in a documented product surface. Plans, transports and configuration differ by tool.
Surface-dependent MCP
ChatGPT requires an eligible custom app, plan and workspace setup. Gemini requires a compatible CLI, API or agent workflow-not the ordinary consumer chat.
Repository or project handoff
Every listed tool can also hand off a traceable repository or generated project when direct Shipvise MCP is not enabled.
- Available for all listed tools
Manual upload or import
If neither MCP nor repository handoff fits, export or download the application and bring it to Shipvise without connecting the builder account.
- Fallback without a direct connection
Shipvise
Source → staging → approval → production → monitoring
Each tool connects differently. Shipvise stays independent of the builder and provides the controlled path into production; the agent can change without redefining how the application is released.
Your AI built the application. Shipvise helps you run it for real.
Bring the project to Shipvise, verify the release on staging and move it through a controlled path to production. Keep your infrastructure or use a Shipvise-managed environment.