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Autotune

Let Tines 3B suggest improvements with autotune.

Written by Jamie Gaynor

Autotune is Tines 3B's way of making a workflow better on its own. Turn it on for a workflow, and Tines 3B keeps looking for ways to improve it, drafts one change at a time on a branch, and lets you know when there's something to review. Nothing changes in your live workflow unless you decide it should.

What autotune looks for

When autotune is on, Tines 3B reviews the whole workflow and weighs several kinds of improvement rather than chasing just one:

  • Reliability. Handling errors and edge cases, and removing fragile or flaky behavior.

  • Capability. Doing the job more completely, or covering cases the workflow currently misses.

  • Clarity. Simpler structure, clearer naming and outputs, and easier maintenance.

  • Performance. Cutting unnecessary work or slow steps.

How it works

When you enable autotune, Tines 3B monitors your workflows in the background.

  • Continuous monitoring: The system periodically scans your enabled workflows for optimization opportunities.

  • Smart analysis: When an opportunity is identified, Tines 3B reviews your recent execution data (such as run history, error rates, and step duration) to propose a focused improvement.

  • Automated branch creation: Autotune automatically creates a new branch, implements the code changes, and verifies the changes with test runs.

  • Notification: Once the suggestion is ready, you will receive an email notification containing a direct link to review the proposed changes.

Best practices

  • Review thoughtfully: Don't blindly accept suggestions. Consider the tradeoff between the proposed improvement and any added complexity.

  • Use the chat: If a suggestion doesn't quite fit, ask Tines 3B for alternative approaches or make manual refinements before pushing to live.

  • Keep it moving: The continuous improvement cycle only progresses when you accept or reject a suggestion. Avoid leaving autotune branches open indefinitely.

  • Verify in production: After accepting an improvement, monitor your execution logs to ensure the workflow performs as expected.

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