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From a blank branch
to a review-ready change.

Describe the outcome, watch the plan take shape, and keep every edit visible before you ship.

Choosing model· Claude
Illustrative coding prompt

Describe the change…

Coding & Development lifecycle

From context to review — explained.

The same coding loop as the homepage, ordered so model choice and analysis happen before execution, and review always comes before handoff.

Step 1

Define goals & context

Give AI the goal, relevant files, and constraints before work begins.

Link the workspace files, note what must stay unchanged, and write a clear outcome so the agent knows what “done” looks like before any edit starts.

Step 2

Pick the right model

Choose a model for the task, from an initial draft to a focused review.

Route to a faster model for drafts, a balanced one for implementation, or a deeper one for review. The choice sits next to the task so you always know what is running.

Step 3

Agents analyze the change

Read the relevant code and connect the proposed edit to your goal.

The agent reads linked context, surfaces goals and constraints, and outlines the smallest safe plan — still before anything is applied to your branch.

Step 4

Execute with feedback in view

Keep code edits, debugging, and test feedback in the same workflow.

Follow the draft as it lands: file reads, edits, and focused tests stay in one thread so you can interrupt, redirect, or continue without losing the trail.

Step 5

Review before anything ships

Inspect the changes and results, then refine what needs another pass.

Inspect the diff at the review gate. Nothing merges or applies until you accept, request changes, or roll back to a recoverable checkpoint.

Step 6

Hand off what changed

Leave a clear summary of the changes, results, and next step.

Leave a clear handoff: what changed, what passed, and what still needs a human eye — so the next person (or the next step) can pick up without rebuilding context.

Concrete scenarios

Ways builders use magnetic.

  1. 01

    Scaffold a feature

    Start from the goal, generate the first structure, then refine with context in view.

  2. 02

    Debug with a clear trail

    Keep the failing path, the hypothesis, and the fix attempt in one thread.

  3. 03

    Prep for review

    Summarize what changed and why — then pause for your judgment before handoff.

An illustrative coding loop.
  • You

    Add empty-cart copy and keep the CTA reachable.

Stories

What builders notice first.

  • Turn a feature idea into a focused plan. Generate code, inspect the changes, and refine the result.

    Build projectsDeveloper workflow · Workflow example

  • Give your idea a clear goal. Choose a workflow and keep the next step in view.

    Start with intentAI workspace · Workflow example

Coding & Development lifecycle

Ship with context close.

Coding on magnetic is about visible steps and reversible change — not disappearing automation.

FAQ

Clear answers before you start.

magnetic.ai brings an AI Code Editor, project workspace, image generation, and video creation into one AI workspace for building, creating, and shipping.