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Building3 min read

Entire helps you follow the reasons behind AI changes

A new place to keep app files, AI conversations and reviews together offers a useful lesson: save why you made a change, as well as what changed.

Colleagues looking at a laptop together in a meeting room
Photo by Creatopy on Unsplash. Illustrative stock photo.
The useful part

For your next app change, save the goal, the reason for the decision and the checks that show it works. That record helps the next person or AI helper continue the work.

Keep the reason beside the work

You can make the next round of app building easier by saving the reasoning behind this one. Start with a short note: what should improve for the person using the app, what you changed, and how you checked it.

On October 26, Entire launched a platform for keeping app files and reviewing AI-assisted changes. Its new Trails bring a task, related changes, AI review findings and approvals into one view. Entire says developers can use the platform now.

The same launch introduced Continuous Memory, which helps later AI work sessions find earlier decisions and conversations. These are product capabilities described by Entire. They do not establish that an AI review will catch every problem.

Read the announcement: Entire: The Git Forge for Agent-Human Collaboration.

Turn a good idea into a clear check

Imagine adding a button that lets a customer update a request. A useful record explains who may change it, which details they may edit, and what should happen after they save. A screenshot of the button cannot answer all those questions.

Entire supports review conditions, including human approvals and automated checks. Its documentation currently describes the connections to Buildkite and Depot, services that run app checks, as a public preview, an early version people can try.

For someone learning to build by describing ideas to AI, the useful skill is deciding what evidence you need before a change reaches customers. Ask your helper to explain the proposed checks in familiar words.

Practise on one small change

Use a practice project with invented information. Keep the experiment small enough that you can understand the original version and compare the result. You can make this record with the tools you already use.

  1. Write the user outcome in one sentence, then list anything that must stay the same.
  2. Ask the AI helper to explain its planned change and save the explanation.
  3. Try the finished task, an incorrect entry and an action the user should not be allowed to take.
  4. Record what passed, what needs attention and who approves the next version.

Use the lesson before changing platforms

Entire can host app files directly or keep a connected copy while GitHub remains the main home for them. Moving a working project is a separate decision. Review access, saved conversation data and current charges before connecting real business work.

Our perspective is that keeping the reasons beside app files could make future AI work easier to hand to another helper. A record that someone else can understand is useful preparation now. If you build with a colleague or a studio, ask for that record as part of the handover.

Go to the source

Read the original reporting.

Our perspective is based on these sources. Product details and availability can change after publication.

  1. Entire: The Git Forge for Agent-Human CollaborationPublished 26 October 2026
  2. Entire documentation: Introduction and current feature availabilityChecked 1 November 2026
  3. GeekWire: Former GitHub CEO launches rival platform built for AI coding agentsPublished 26 October 2026

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