You need repeatable audit context
PastePrompt is useful when the exact file set, prompt, Git state, diff, and generated bundle matter for review notes or follow-up work.
Comparison
Why use PastePrompt instead of manual context gathering?
Manual copy/paste, repo packers, editor extensions, and coding agents can all be good tools. PastePrompt is focused on a narrower workflow: local, reviewable, reproducible context bundles for audits and large-codebase LLM review.
Workflow comparison
The table describes typical workflow differences. It does not imply that other tools are unsafe or unsuitable for their intended use.
| Capability | Manual copy/paste | Generic repo packer | Editor extension | AI coding agent | PastePrompt |
|---|---|---|---|---|---|
| Visual file selection | Works for small selections, but file coverage is easy to lose track of. | Often path or CLI-pattern driven. | Usually strong inside the active editor workspace. | Often depends on the agent workspace and prompt flow. | Built around explicit local file and folder selection. |
| Token budget awareness | Usually estimated after the fact. | May provide totals depending on the tool. | Can vary by editor and model integration. | Often abstracted behind the agent session. | Shows estimated file, folder, and selected-context totals. |
| .gitignore/.pastepromptignore | Depends on user discipline. | Often supports standard ignore files. | Usually follows editor/workspace visibility. | Depends on agent configuration. | Uses `.gitignore` and context-specific `.pastepromptignore` by default. |
| Optional secret scan preflight | Requires a separate review step. | May require a separate scanner or script. | Depends on extension behavior. | May not expose a pre-copy/export gate. | Can run a local scanner before copy/export to help reduce accidental inclusion. |
| Git metadata | Usually copied separately. | May include metadata if configured. | Often available through editor Git UI. | Often visible to the agent if tools are enabled. | Can include branch, commit, and dirty-state context. |
| Git diff review | Requires collecting diff and related files by hand. | Can be scripted with Git output. | Good for editor-native PR review flows. | Good when the agent is already reviewing the repo. | Packages diff context with selected surrounding files for review. |
| Local dependency suggestions | Requires following imports by hand. | Often depends on include patterns or repository-wide packing. | Can be strong when backed by editor language tooling. | May inspect dependencies as part of an interactive session. | Suggests nearby local source imports from selected files while keeping selection reviewable. |
| Audit prompt templates | Prompts are often copied from notes. | Usually focuses on files, not prompts. | Depends on extension template support. | Usually prompt/session driven. | Provides repeatable audit and review templates. |
| Prompt history | Depends on external notes or chat history. | Usually not a core workflow. | Depends on editor extension history. | Agent sessions may keep history in their own format. | Tracks prompt metadata and prior context-building activity. |
| Reproducible context snapshots | Hard to reproduce precisely after the fact. | Can be reproducible if command inputs are saved. | May depend on editor state at the time. | May be tied to an agent session transcript. | Designed to make selected files, instructions, metadata, and exports easier to repeat. |
| Markdown export | Possible, but assembled manually. | Common for many repo-packing tools. | Depends on extension export support. | Usually not the main output format. | Exports reviewable Markdown bundles. |
| Local-first workflow | Local until the user pastes elsewhere. | Often local if run locally. | Depends on the editor and extension. | Depends on the agent architecture and configured tools. | macOS local app; source leaves when users copy, export, paste, attach, or share bundles. |
| Works across LLMs | Works anywhere text can be pasted. | Usually exports text for many tools. | May be tied to editor or provider workflows. | Usually tied to the chosen agent environment. | Copies or exports bundles for ChatGPT, Claude, Codex, Cursor, Gemini, local models, and other LLM tools. |
When PastePrompt is a good fit
PastePrompt is strongest when context-building itself needs to be deliberate and repeatable.
You work with large repos
The app helps narrow a repository into selected files and folders while keeping token estimates visible.
You use multiple LLM tools
PastePrompt prepares portable XML-like or Markdown bundles instead of assuming one model, chat product, or editor workflow.
You want a pre-export safety check
The local secret scanner can be used as a gate before copy/export. It helps reduce risk, but it does not guarantee that every secret is caught.
When PastePrompt is not a good fit
Some workflows are better served by simpler tools, hosted systems, or direct agent interaction.
You want a vulnerability scanner
PastePrompt does not find vulnerabilities by itself and does not validate LLM findings. Human review remains required.
You want cloud sync or hosted analysis
The V1 site and app direction is local-first, without a backend server or hosted source-code analysis workflow.
You only need one tiny snippet
For a one-file question, manual copy/paste may be faster than opening a dedicated context-building workflow.
You want the agent to edit code directly
PastePrompt prepares context bundles. It is not an autonomous coding agent and does not apply patches to your repository.
Common alternatives
The question is not which category is universally better. The question is which tool shape matches the review you are preparing.
Why not just use an AI coding agent?
Coding agents are useful when you want an interactive tool to inspect and modify a workspace. PastePrompt is a better fit when you want to prepare a reviewable, portable input bundle before choosing where it goes.
Why not just use a CLI repo packer?
CLI packers can be excellent for scripted exports. PastePrompt is focused on visual selection, token budgeting, Git diff review, prompt templates, and scanner gating in one macOS workflow.
Why not just use a VS Code extension?
Editor extensions can be convenient inside a specific editor. PastePrompt is useful when you want a standalone context builder that can still open selected files in VS Code or Cursor while producing portable artifacts.
Use PastePrompt when the context bundle is part of the review artifact.
Select files visually, inspect token budget, run a local secret scan, add Git context, then export a bundle for the LLM workflow you choose.