A second look before you ship

Another pair of eyes.
A better-informed merge.

Give Lispa a branch or pull request to inspect. Get findings grounded in the code, with the failure case and missing coverage explained so your team can make the call.

Continue with GoogleSee an example

From $20/month, with $20 in usage credits. More signup options

AI agents review a highlighted line of code, trace its connections, and record findings on a checklist.
One team. A little less on your plate.
Works with
  • Claude
  • Codex
  • Grok
  • Gemini
  • Open models
Works in your repositoryChoose your modelsReview the work before it ships
A task you can hand off

A green check is not the whole review.

Tests may pass while an empty filter exposes another account’s results. Ask Lispa to follow the changed behavior through its callers and explain which inputs could go wrong.

You ask

“Review the orders export change against main. Check account isolation, filter behavior, and empty results. Report concrete correctness issues. Do not edit or merge.”

Review: orders exportExample finding · Fictional code
Example
What to look for in the result
  1. 01
    Finding

    Account scope is missing from the export query.

  2. 02
    Impact

    An unfiltered export can include other accounts.

  3. 03
    Follow-up

    Add account scope and a cross-account test.

File references + failure cases + suggested checks
Illustrative workflow with fictional data. Not a live run or a guaranteed result.
Inside Lispa

Keep the final review in your hands.

See the outcome and verification notes in the delivery review. When something needs another pass, request changes and keep the feedback connected to the task.

Try it with your own task
Lispa delivery review shows a payment-fix summary, reported checks, and Accept delivery and Request changes controls.
Lispa interface screenshot with fictional example data.View full size
From handoff to review

A clear brief.
A result you can check.

  1. 01

    Define the review.

    Provide the base and changed branch, plus any high-risk behavior. Ask for a read-only review when you want findings before edits.

  2. 02

    Follow the behavior.

    The agent reads the diff and surrounding code, checks assumptions, and can run relevant tests in its workspace.

  3. 03

    Act on specific findings.

    Review the evidence, request a fix, or ask the agent to investigate a disputed finding. Your team keeps the final decision.

A closer look at Lispa

The work has a home.

From the first brief to the next useful lesson. Take a look around the workspace.

Explore the full illustrated walkthrough
Pull requests

Bring the evidence to the review.

Pull requests, agent reviews, and CI checks share a view. Inspect the current change and its latest review before deciding what should ship.

Works with
  • Claude
  • Codex
  • Grok
  • Gemini
  • Open models
Lispa pull request workspace with three changes, the selected payment fix, passed checks, and its latest review.
Actual Lispa interface · Fictional demo dataView full size
Tasks

Know what needs your attention.

See who is working on each task, which work depends on it, and what is ready for your review. The small pieces stay connected to the goal.

Works with
  • Claude
  • Codex
  • Grok
  • Gemini
  • Open models
Lispa task list grouped into in progress, in review, and done, with a different agent or team assigned to each task.
Actual Lispa interface · Fictional demo dataView full size
Built & used in Lispa

Review every new or updated pull request.

Our “Review every PR” automation is configured in Lispa to respond to GitHub pull-request events and follow the repository’s review rules. The trigger and instructions stay with the automation; the work stays in its run tasks.

This is an active Lispa workflow. The image is an existing product illustration with fictional example runs.

Illustration of Lispa automations for pull request review, failing checks, and a weekly repository digest.
Existing AI-generated product illustration with fictional example data.View full size
Try it on your own backlog

A useful first task,
ready to make yours.

Replace the brackets, paste into a Lispa chat, and keep the scope small enough to review.

  • Findings tied to the affected code
  • Inputs and conditions that explain the failure
  • Suggested fixes, tests, and review limitations
YOUR STARTER PROMPT

Review [branch or pull request] against [base] for correctness bugs. Read the surrounding code and validate each finding. For each issue, give the file, failure conditions, impact, and a suggested fix or test. Focus on [areas of concern]. Separate confirmed problems from uncertainty. Do not edit, post comments, or merge.

Start a task in Lispa
Before you start

A few practical
answers.

Plans and usage charges
Can I ask for review without changing any files?

Yes. State that the task is read-only. The starter prompt also asks the agent not to post comments or merge, so you can inspect its findings first.

Does an AI review replace a human review?

No. Treat it as another source of evidence. It can miss problems or raise incorrect findings; your team should check the conclusions before shipping.

Can a review run when a new pull request arrives?

Lispa supports event-triggered automations. Configure the repository, event, review instructions, and limits, then inspect the resulting run.

Can I use my existing model plan?

You can connect a supported Claude or ChatGPT plan, a provider API key, or use Lispa’s models with credits. Provider limits still apply. Cloud machines and Lispa services consume credits even when you bring a plan.

Start with one real task

Give your next change a second look.

Connect your repo. Describe the work.
Come back to a result you can inspect.

Start with Lispa

Lite starts at $20/month with $20 in usage credits.
Paid plan required to run tasks. Cancel any time.

See plans and usage charges