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name: momentic-spec description: Improve code correctness using Momentic specs in the feature development process

Momentic spec-driven development

Write the expected product behavior as Momentic tests before implementing it. The tests define the contract; do not make the tests fit the implementation.

Non-negotiable sequence

1. Read repository guidance, momentic.config.yaml, and nearby tests and modules.
2. Identify and report the exact Momentic tests expected to be affected.
3. Create or modify those tests before changing product code.
4. Review the test diff as a product specification.
5. Only then implement the product change.
6. Use fast code-level checks while implementing; do not run Momentic after every edit or commit.
7. At a durable end-to-end checkpoint, prepare the required test state, enable the affected tests that should now pass, and ask whether to run the smallest affected set.

Do not begin product implementation until the intended test specifications are on disk. If the user changes the requirement, update the spec first again.

Choose the affected tests

• If the user names specific existing tests, start with those tests and keep the work focused on them. Expand the set only when repository evidence shows another test or shared module is directly affected.
• For new user-visible functionality, create the smallest new test or tests that describe the new user journey.
• For changed functionality, update the existing tests that describe the old behavior instead of adding duplicate coverage.
• Trace shared components and modules far enough to find real behavioral impact. Do not infer the affected set from filenames alone.
• If no Momentic test is affected, state why before making product changes. Do not make cosmetic test edits merely to produce a test diff.

Before editing product code, report each affected test path and whether it will be added, changed, or left unchanged.

Write the product specification first

The pre-implementation test should describe the requested outcome, even when the current product cannot satisfy it yet.

• Preserve unrelated setup, teardown, data, assertions, and test intent.
• Do not weaken an assertion or preserve old behavior just because that matches the current implementation.
• Mark a test disabled: true when the implementation or a required dependency is not ready and the test is not expected to pass yet. Record why it is disabled and what must become true before enabling it.
• Do not use disabled: true merely because local credentials or a runnable environment are unavailable. That is a validation limitation, not necessarily an expected product failure.
• Keep the delta narrow. One changed product contract should normally have one focused test delta.

After writing the tests, summarize the expected failing or disabled behavior and confirm the tests express the user's request before implementing it.

Follow the codebase's testing language

Read nearby tests and follow their established conventions, including folder placement, naming, modules, setup, data, and preference for AI checks, page checks, or element checks. Apply baseline Momentic practices where the codebase does not express a preference:

• Prefer native Momentic steps and natural-language targets over JavaScript or selectors.
• Keep assertions minimal and user-driven, with an explicit outcome check after a flexible action.
• Reuse existing modules for established flows such as authentication, setup, and navigation instead of recreating those flows inline.
• Do not reorganize or modify a shared module unless the requested product contract requires it. Account for every test that consumes a changed module.
• Never work around a real product failure by changing the test.

Prefer AI action V3 for new specifications

For a new test, prefer an AI action V3 act: step when a high-level goal reads more clearly as a product specification, especially for a long flow. Reuse existing modules for known subflows and use act: for the new behavior rather than hiding reusable setup inside one large goal.

Keep goals short, specific, and outcome-oriented. Pair an act: step with the same assertion style used by nearby tests so the test verifies the result, not only that the agent stopped.

AI action V3 caches generated steps after a successful run and self-heals when a cached step misses:

• Keep caching enabled for stable product flows. Cached reruns are faster and more deterministic.
• Set cache: false only when the goal is inherently dynamic and should be re-derived every run, such as opening the most recent record or responding to frequently changing content.
• Do not disable cache to hide a stale or incorrect specification. When the intended behavior changes, update the goal or step description so its cache identity changes.
• When MCP preview returns a CacheId for a step that will be persisted, carry that cache ID into the saved step as required by the momentic-test skill.

Run at durable end-to-end checkpoints

Momentic is true end-to-end validation, not the coding agent's inner feedback loop. Do not run affected Momentic tests after every file edit, implementation step, commit, or small refactor.

Do not execute Momentic tests by default. Editing and linting Momentic tests is allowed without confirmation, but test execution can take time and consume credits. At a durable checkpoint:

1. Stop before running Momentic.
2. Tell the user exactly which tests or command you propose to run and, when known, the expected duration or credit impact.
3. Ask the user to confirm whether to run them.
4. Run only after explicit confirmation. A direct request to run the specified tests counts as confirmation.

Confirmation covers only the proposed run. Ask again before another Momentic execution unless the user explicitly authorized iterative reruns. If the user declines or does not confirm, continue with non-Momentic checks and report the tests as not run.

Use faster repository checks such as unit tests, typechecking, and linting while building. Run Momentic when the app has reached a logical checkpoint that is durable and usable through the real UI:

• For a small change, the checkpoint is usually the fully implemented change.
• For a multi-stage or extra-large feature, a checkpoint can be a completed, independently usable UI slice with all prerequisites needed for its affected test. Do not wait for the entire feature when a meaningful component is already testable end to end.
• Do not treat an arbitrary commit boundary as a checkpoint. The deciding question is whether a user can exercise the intended behavior through the product and observe the specified outcome.

At each checkpoint, propose the smallest affected test set. After confirmation, run it once, diagnose failures, and make a coherent fix. Request confirmation again before rerunning unless iterative reruns were already authorized, and rerun only when there is a reasonable expectation that the end-to-end outcome changed. Keep future specifications disabled until their checkpoint exists.

Own the test data and application state

The coding agent implementing the product change is responsible for making the checkpoint cleanly runnable. Before invoking Momentic, identify and establish the required data, account state, feature flags, permissions, integrations, and service state. Do not leave prerequisite creation for the browser agent to improvise through unrelated UI flows.

Prefer existing test setup facilities. When the application lacks a reliable way to create prerequisites, the coding agent is encouraged to build safe, test-environment-only capabilities such as:

• idempotent endpoints or scripts that seed deterministic records and state
• fixtures and factories for realistic test data
• dedicated test accounts, roles, and authentication state
• test-only controls for feature flags or external-service substitutes
• scoped cleanup or unique-data mechanisms that prevent cross-run pollution

Any new test capability must be inaccessible in production, explicitly gated to approved test environments, authenticated where appropriate, narrowly scoped, and safe to call repeatedly. Never add a production backdoor, weaken production authorization, or encode the behavior under test inside the seed mechanism.

Document the setup contract and either execute it before the Momentic run or invoke it from the test's established setup section. The resulting test should be repeatable from a clean environment without relying on accidental state from a previous run.

Edit and validate safely

Use the installed momentic-test skill for detailed authoring, format, and MCP guidance.

• Edit v2 tests (fileType: momentic/test/v2) directly when the change is small and the intended steps are clear.
• Do not edit v1 test YAML directly. Use Momentic MCP tools to persist v1 changes.
• Use MCP browser validation when UI discovery, live state, or locator behavior is uncertain.
• Lint the test specifications before product implementation when possible.
• At a durable end-to-end checkpoint, remove disabled: true from tests that are now expected to pass, establish their required state, and ask whether to run the smallest affected set.
• Leave a test disabled only when it is still intentionally not expected to pass, and include the reason and enablement condition in the handoff.

Run the repository's required product-code checks after implementation. In the handoff, list the affected tests, their enabled or disabled state, the product behavior implemented, and every validation that was or was not run.