Git and deploy: organize the publication of projects created with AI

Separate review, build and publication

A code change is a proposal. A build is the result prepared for execution or delivery. A deploy puts this result in an environment. Treat these steps separately to prevent a push from publishing a version not yet checked.

In an Astro or Vite project, downloading the repository does not automatically generate dist. In a backend, copying files does not install dependencies or prepare the database. Write a commit script to the final URL and indicate who or which automation performs each step.

Review the code produced with AI

Ask for small changes and check out the changed files. Compare implementation with the business rule, especially in authentication, authorization and persistence. A test that just repeats the generated code can pass without demonstrating that the application solves the client's need.

Register a scenario of success, error and one of denied access to the main stream. Also review dependencies, scripts and migrations. These items can perform tasks in the build environment or change data in the publication, even when the interface barely changes.

Integrate the Git account in the dashboard

In WordPane documentation, the account link is in Account → Integration → Git Integration. In the application, the Git method allows you to select an account, repository, and branch according to the options offered. Check permissions and keep the authorization restricted to the required repositories.

The panel also documents automatic update options in applications created by Git. An application created by another method may not display the same tool. Do not use the existence of integration into the account as proof that every application is already connected or ready to run a build.

Set how the result reaches the server

For a static frontend, a strategy is to generate IC artifacts and distribute them by the authorized method. Another is to generate in an environment with runtime and appropriate features and publish output. GitHub documents workflow artifacts and deploy environments; these capabilities belong to GitHub, are not automatically activated by the WordPane panel.

For a runtime, plan dependencies, variables, output, and restart procedure. Never set up a script with administrative privileges just for convenience. Check user, path, and permissions before running the deploy. A command that works on your host can point to another destination on the server.

Make the first update as a trial

1. Choose a test application and a known branch.
2. Post a small change that can be identified on the page.
3. Check logs, output folder and public address.
4. Validate the automatic update behavior effectively offered.
5. Check that persistent credentials and files have been preserved.
6. Recover the previous version and repeat the essential tests.
7. Document the procedure before using the flow in the main system.

Treat secret and state out of public artifact

Do not include .env, private keys and passwords in the public repository or frontend bundle. Use the environment secret settings that run the routine and restrict your availability. Review build logs to prevent a diagnostic message from exposing values.

Uploads and database need to survive an update. Organize your paths and backup plan. If a migration has changed schema, code recovery depends on data compatibility; do not promise that an old checkout will always return the service to the previous state.

Prepare a short check after each deploy

Select the functions that represent the business: public page, login, reading and data recording and an important integration. Test the result in the real domain, not only in the log that says the command is over. For AI, include a limit test call and an unavailability scenario.

Register commit, schedule, and result. If a customer reports error, this link helps to find out if it started after the update. Also set when you interrupt a post and who decides to recover the previous version. A clear procedure reduces improvisation during incidents.

The same commit should lead to an identifiable artifact

Version the lockfile and record runtime and tool versions. If each build downloads different dependencies, the commit alone no longer explains what was published. Keep the approved output and promote that artifact between environments when the workflow supports it.

Variables embedded in build and variables read on server have different application times. Document this distinction: changing a server configuration may not change a URL that has already been saved in frontend JavaScript. A new build may be required.

Example of update with verification and recovery

The team reviews a change, generates a build, publishes it to a test environment and runs acceptance workflows. The approved release receives an identifier. Production deployment preserves the previous release and is complete only after the domain, assets and primary operation pass verification.

If there is a database, determine whether the previous version remains compatible with the new scheme. Restore only files may be insufficient. If there are uploads, preserve them outside the replaced folder. Each type of state needs its own plan so that rollback does not mean data loss.

Repository access deserves the same care as server access

Only connect the required accounts and repositories, limit who can publish and review credentials when people leave the team. Do not place tokens in the code, build log or shared commands. A private repository does not make it acceptable to keep secrets permanently in the history.

At WordPane, use the integration documentation to link the repository and branch, and confirm the update method supported by the application. Enable automatic publishing only after a test update demonstrates the build, correct destination, verification and recovery.

Gain organization without hiding responsibilities

WordPane brings together infrastructure choices and operating tools, including Git integration when available, domains, files, logs, and backups. The revision and build stream continues to be designed for your project. This combination allows you to automate repeated tasks with a known publishing destination.

Track server consumption and the cost of external services. Large builds can dispute resources with the application, so evaluate doing them in another environment. Start with a simple and verifiable flow and expand when the volume of releases justifies. The best deployment is the one that another person on the team can safely run and recover.