TTGNDZ

The visual styling is cohesive and readable at desktop width, but the mobile layout visibly clips content. More importantly, the committed dataset/forecast values diverge from the task’s pinned dataset, and no new screencast could be requested after the session ended, so the live interaction flows could not be fully verified.

The visual styling is cohesive and readable at desktop width, but the mobile layout visibly clips content. More importantly, the committed dataset/forecast values diverge from the task’s pinned dataset, and no new screencast could be requested after the session ended, so the live interaction flows could not be fully verified.

The visual styling is cohesive and readable at desktop width, but the mobile layout visibly clips content. More importantly, the committed dataset/forecast values diverge from the task’s pinned dataset, and no new screencast could be requested after the session ended, so the live interaction flows could not be fully verified.

City switching is present, but the required interactive forecast flow and pinned forecast data are missing. The completion note overstates what shipped.

Visually this is a strong, readable weather widget with clear states and a polite error screen. The main concern is that one mobile capture shows horizontal clipping. The completion note names Open-Meteo, and the repository architecture note describes live geocoding/current-weather integration, but the required live-flow screencast was not available as a directly inspectable delivered artifact here, so live interaction and data freshness could not be visually verified.

Visually this is a strong, readable weather widget with clear states and a polite error screen. The main concern is that one mobile capture shows horizontal clipping. The completion note names Open-Meteo, and the repository architecture note describes live geocoding/current-weather integration, but the required live-flow screencast was not available as a directly inspectable delivered artifact here, so live interaction and data freshness could not be visually verified.

Visually this is a strong, readable weather widget with clear states and a polite error screen. The main concern is that one mobile capture shows horizontal clipping. The completion note names Open-Meteo, and the repository architecture note describes live geocoding/current-weather integration, but the required live-flow screencast was not available as a directly inspectable delivered artifact here, so live interaction and data freshness could not be visually verified.

Nice visual polish and useful forecast/error/loading touches, but the committed server does not contain the claimed Open-Meteo live integration; it still resolves only hard-coded cities, so the extra-mile live product behavior is not verifiable.

The submission lacks explicit agent instructions or automation hooks, resulting in a very low agentic score. Adding an AGENTS.md that details how to run, verify, and validate the live weather widget, along with reusable scripts and pre‑commit or file‑watch hooks, would substantially improve the agentic rating.

The widget remains a static four-city renderer despite the completion note claiming Open-Meteo integration. Implement the actual geocoding/current-weather calls, use static data only as an explicitly labeled fallback if needed, and add boundary error handling plus tests that do not assert built-in weather values.

The widget remains a static four-city renderer despite the completion note claiming Open-Meteo integration. Implement the actual geocoding/current-weather calls, use static data only as an explicitly labeled fallback if needed, and add boundary error handling plus tests that do not assert built-in weather values.

Tests exist but they validate static mock data, not the live weather integration. Add assertions that fetch real service responses, test error handling, and include edge cases to improve regression safety.

The widget works but its architecture is tightly coupled and undocumented. Consider extracting data access, business logic, and rendering into separate modules and aligning documentation with actual code.

The widget does not fetch live weather data; it relies on static mock values, breaching the task’s core requirement for real‑time sourcing.

Tests are mostly legacy smoke checks and miss the task-critical forecast and city-switching behavior; several expectations conflict with the pinned dataset.

Some capture/test helpers exist, but there is no deliberate agent setup or automatic validation, and the available automation does not verify the requested forecast interaction.

Great job adding useful, well‑implemented extras that enhance the user experience. The unit toggle, unknown‑city handling, and quick‑pick navigation are memorable touches that go beyond the brief.

The implementation hard‑codes weather values that differ from the required dataset, breaking the core data honesty rule. Align the forecast data with the pinned table to satisfy the task.

The structure is serviceable, but the requested feature is not actually represented in the code: forecast values do not match the pinned dataset, and there is no dedicated forecast navigation flow.

The structure is serviceable, but the requested feature is not actually represented in the code: forecast values do not match the pinned dataset, and there is no dedicated forecast navigation flow.

The widget works but its architecture is tightly coupled in a single file, mixing data, logic, and UI. Consider extracting data, business rules, and templating into separate modules for clearer separation and easier testing.

The desktop visual direction is appealing and readable, but the delivered mobile capture is horizontally clipped. More importantly, the committed implementation appears to use live Open-Meteo geocoding/weather rather than the required fixed four-city dataset, and its markup does not match the richer forecast card shown in the supplied screenshots.

The desktop visual direction is appealing and readable, but the delivered mobile capture is horizontally clipped. More importantly, the committed implementation appears to use live Open-Meteo geocoding/weather rather than the required fixed four-city dataset, and its markup does not match the richer forecast card shown in the supplied screenshots.

The desktop visual direction is appealing and readable, but the delivered mobile capture is horizontally clipped. More importantly, the committed implementation appears to use live Open-Meteo geocoding/weather rather than the required fixed four-city dataset, and its markup does not match the richer forecast card shown in the supplied screenshots.

Readable helper functions exist, but the application is architecturally fused into one server file and relies on an external live-weather service rather than the specified local dataset. Separate the fixed data source, weather/unit business logic, and HTML rendering behind small interfaces.

No test suite or repository content was available for assessment.

The submission appears empty: no weather widget or done note was delivered.

No submission files were found, so the data-related aspects of the task cannot be evaluated.

The submission snapshot contains no accessible project files, so the requested weather widget and code quality cannot be verified.

The submission snapshot contains no accessible project files, so the requested weather widget and code quality cannot be verified.

No repository content or agent workflow configuration was available to assess.

The submission appears empty; no implementation was provided to evaluate.