Bring AI-generated changes into codebases that have to keep shipping.

ProPR is strongest where GitHub is the source of truth: branches, tests, conventions, and changes that cannot be judged by a single generated preview. That includes mature codebases and empty repositories that need their first useful PR.

Best fit

Use ProPR for features, refactors, bug fixes, repository cleanup, PR follow-ups, first implementations in new repos, and other changes that should move through a real pull request.

Prompt-to-app tools turn a blank canvas into a quick hosted prototype. ProPR turns a blank repository into a planned branch, a pull request, and code owned by your GitHub process.

For mature products, the hard part is rarely generating some code; it is finding the right files, respecting local patterns, keeping the change easy to review, and making sure feedback turns into the next safe commit. For new repositories, the hard part is turning intent, screenshots, attachments, and examples from other repos into a first implementation that can be inspected and continued.

ProPR starts from that reality. A prompt becomes a plan. The plan uses repository context when it exists and supporting context for a new codebase. The implementation runs in an isolated Docker workspace and Git worktree. The result becomes a GitHub pull request, and comments keep shaping the same branch through PR fine-tuning.

A focused real GitHub pull request built by ProPR, showing its implementation summary, branch, commit, model, duration, tokens, and cost. — The destination is a normal GitHub pull request with the execution record attached.

The product context matters as much as the prompt.

Conventions already exist

The agent has to follow how the repository names, tests, and ships things. Context gathering puts that material in front of the model.

Blank repos need a first shape

An empty repo starts from a plan, screenshots, attachments, and supporting repositories, then comes back as an initial branch and PR in GitHub.

Review is part of the change

A change is ready when the PR survives comments, checks, and human judgment. ProPR keeps the iteration in GitHub, attached to the pull request.

Changes span repositories

Plans pull in supporting repositories as reference context when a service, client, or shared library moves together, or when a new repo should follow existing patterns.

Small changes stay small

Planning splits larger ideas into focused implementation tasks so a useful change does not become an unreviewable blob.

Backlog ideas start near the code

Repository todos and improvement suggestions give low-friction paths from codebase knowledge to planned changes.

Recovery is obvious

If an attempt is wrong, the task record, branch, commits, and completion comments make it clear what happened and what can be retried, discarded, or reverted.

Choose by where the change should land.

Every class of AI coding tool leaves the work somewhere different. Reach for ProPR when the artifacts have to outlive the session: the branch, the plan, the PR summary, and the review loop. The app-builder comparison draws that line in more detail.

Destination map ProPR targets the PR

AI app buildersNew prototypes and generated UI Lands inA hosted previewThe app runs on the builder's platform.

AI IDEsEditing, debugging, steering line by line Lands inThe working copy in the editorThe change lasts as long as the session.

Direct terminal agentsFast local exploration and live fixes Lands inThe local checkoutHistory begins whenever you commit.

PR review toolsComments, summaries, bug detection Lands inA pull request that already existsSomebody else wrote the diff.

ProPRFeatures, fixes, refactors, follow-ups, first commits Lands inA GitHub pull requestPlan, branch, diff, execution record, follow-up commits.

Choose by the artifact you need at the end. ProPR fits when the answer is a pull request your team can review, comment on, and merge, including the first implementation in an empty repository.

Start from a prompt, issue, todo, improvement, or empty repo.

A product prompt, GitHub issue, repository todo, cleanup suggestion, PR comment, or new-repo brief can all become planned changes inside ProPR. From there, planning shapes the scope before implementation starts.

Keep the final decision in the pull request.

The branch, diff, checks, comments, approvals, and merge decision stay in GitHub. ProPR adds planning and agent execution around that loop while GitHub remains the source of truth.