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Context that survives each run

Keep agent context between runs

Keep the task, run summary, AI hand-off, review comments, and follow-up history connected to the run that produced them.

Preserve your next hand-offRead review history

Why this matters

The context needed to finish and review work should live with the task, not disappear with a chat or terminal window.

Before and after

See what changes in the workflow.

Before alterac.ai

  • The task, test results, and next steps are scattered across tools and terminal history.
  • A reviewer cannot tell which run produced a summary or comment.
  • The next agent has to rebuild the story before it can continue safely.

With alterac.ai

  • Each run starts with a saved copy of the task and its own work-run ID.
  • The summary, AI hand-off, optional code-review link, and reviewer comments stay together after the run finishes.
  • A follow-up receives the recorded review history. A fresh start deliberately leaves that history out.

What alterac.ai does

Connect the steps around your coding agents.

alterac.ai keeps the task, run, hand-off, and review records together so later decisions can point to the right attempt. It does not save a coding agent's full chat, unsaved terminal state, or uncommitted local files.

  1. 01

    Save the assignment

    The run begins with a saved task snapshot and the comments selected for that attempt.

  2. 02

    Explain the result

    The agent records what changed, what it tested, known risks, and the details another agent would need to continue.

  3. 03

    Review the right run

    People inspect that run's output, add comments, and record their decision.

  4. 04

    Choose what carries forward

    A follow-up receives the review history. A fresh run receives a clear instruction to begin from the current task instead.

What stays in your control

Your team keeps the important decisions.

  • A work-run ID separates one attempt from every other attempt on the task.
  • Earlier runs and their comments stay in read-only history.
  • A fresh start does not quietly inherit old feedback or agent conclusions.

A good fit

When to consider this workflow

Choose this workflow when agents may make several attempts and the team needs a reliable record of what happened and what should happen next.

Not a fit

When another approach is better

  • Saving complete transcripts from ChatGPT, Codex, Claude, or another provider
  • Saving unsaved edits, terminal state, or arbitrary local files
  • Giving a fresh run hidden memory of earlier feedback
  • General project tracking or work outside software
  • Choosing which coding model, IDE, or coding agent to use
  • Generating code without managing repository work
  • A promise that work will ship faster, code will improve, or conflicts will disappear

Product details and evidence

Learn how it works and see the evidence.

These links explain the product behavior, show the exact limits, and share first-party evidence. Use the Docs guides when you are ready for setup steps and commands.

Context that survives each run

Reviewers and later agents can see which run did the work, what it reported, what people decided, and which context carried forward.

Create an alterac.ai account.

Preserve your next hand-offRead review history