Best Practices

The difference between a frustrating session and a productive one usually comes down to how you set up the task, not how powerful the model is. Amara does its best work when the goal is clear, the context is available, and the scope is bounded. These practices apply across every workflow and are worth building into your habits.

Scope tightly

Ask for one thing at a time. A prompt that bundles a bug fix, a refactor, and a new feature gives Amara three chances to drift and gives you a diff that is hard to review. Break large goals into steps and confirm each before moving on. For anything with real blast radius, use plan mode to agree on the approach before a single file changes. Small, verifiable increments beat one large leap.

Give context, not just commands

Amara can read your repository, but it cannot read your mind. State the constraints that are obvious to you: which library to use, which pattern to follow, which files to leave alone. Point at a similar piece of existing code as a template — it communicates your conventions faster than any description. Anything you find yourself repeating belongs in SYNTIC.md so it applies automatically to every session.

Verify before you trust

Treat Amara’s output like a colleague’s pull request: read it, and run it. Ask Amara to run the tests and show you the result rather than asserting that a change works. When it claims something is fixed, have it demonstrate the fix. This habit catches the occasional confident-but-wrong change and keeps your codebase honest.

Keep the loop tight

Watch the transcript as Amara works and interrupt early if it heads the wrong way — correcting after two steps is far cheaper than after twenty. Choose the permission mode that matches your confidence in the task, and tighten it whenever the stakes rise. Staying engaged, rather than walking away and hoping, is what turns the assistant into a reliable teammate.