Lapu AI for Developers

Pain points Lapu AI addresses

• Context-switching between terminal, editor, browser, and chat to complete a single task
• Repetitive project setup (folders, configs, lint, CI) that should take 30 seconds but takes 30 minutes
• Searching across a large codebase for usages of a symbol or pattern when grep is not enough
• Manually drafting release notes, changelogs, and PR descriptions from git history
• Cleaning up large directories of build artifacts or stale branches

Top tasks for Developers

1. 1. Code review of recent commits

   Pre-merge sanity check on a teammate's PR. Lapu AI reads the diff, runs the test suite, summarizes risks, and produces review notes.

   "Review the last 5 commits on this branch, run the test suite, and summarize any risk areas or test gaps."

2. 2. Scaffold a new project

   Bootstrap a Next.js + TypeScript + Tailwind + Vitest + Playwright project with CI and folder structure.

   "Create a new Next.js project with TypeScript, Tailwind 4, Vitest, Playwright, and a GitHub Actions CI pipeline. Initialize git and make the first commit."

3. 3. Codebase-wide search and refactor

   Find all usages of a deprecated function across the repo, propose a replacement, and run tests after each change.

   "Find every usage of `legacyFetch` across this repo, replace it with `fetchWithRetry` from `lib/http.ts`, and run tests after each file change."

4. 4. Generate release notes from git

   Draft user-facing release notes from the commit log between two tags, grouped by type.

   "Read commits between v1.4.0 and v1.5.0, group them by feat/fix/chore, and write a markdown release note for the public changelog."

5. 5. Clean up build artifacts and old branches

   Reclaim disk space and prune stale work. Lapu AI lists candidates, asks for confirmation per item.

   "Find all node_modules folders deeper than 2 levels, all .next/.cache directories, and local git branches merged into main older than 30 days. Show me the list and delete with my approval."

Related use cases

• desktop automation →
• data processing →
• file organization →

FAQ

Does Lapu AI work with my IDE?

Lapu AI runs alongside your IDE. It can open files in your editor, read them, run shell commands, and trigger your build/test pipeline. It does not replace your editor.

Can Lapu AI commit to git?

Yes — git operations are shell commands the agent runs with your permission. You can pre-approve `git status` and `git log` while still requiring confirmation for `git commit` or `git push`.

How does Lapu AI handle private code?

Files stay on your machine. Only the relevant context for a given task is sent to AI model providers via Lapu AI infrastructure. There is no Lapu AI cloud storing your code.

Is Lapu AI a replacement for Cursor or Copilot?

Different intent. Cursor and Copilot focus on in-editor code generation. Lapu AI focuses on multi-step tasks across files, terminal, and apps. Many developers use both.

Can Lapu AI run my CI locally?

Yes. Lapu AI can execute the same shell commands your CI runs, in the same environment, so you can validate changes before pushing.