A review contract for an AI-assisted VFX change A Dev.to article proposes a written review contract for AI-assisted VFX changes that defines success before implementation, specifying a maximum visual duration of 700ms, no duplicate rewards on repeated events, and a static label and icon under reduced-motion mode. The contract requires evidence including the exact revision, reproduction steps, normal and repeated-event recordings, a teardown check, and the actual test environment, with visual, integration, and release approval assigned to separate roles. The article states the durations are design targets for the example, not measured results, and that a checklist is only a plan until someone runs it. A review contract for an AI-assisted VFX change An AI workflow for VFX integration needs a definition of success that survives beyond the agent session. A short contract can make that definition inspectable before the implementation starts. Suppose a game already exposes an objective-completed event. The proposed change adds a brief visual respon An AI workflow for VFX integration needs a definition of success that survives beyond the agent session. A short contract can make that definition inspectable before the implementation starts. Suppose a game already exposes an objective-completed event. The proposed change adds a brief visual response. It must not change how rewards are awarded. Use the following as a task template. The durations are design targets for this example, not measured results. change: objective-completion-feedback trigger: existing confirmed objective completion event scope: - one visual effect - event binding - lifecycle cleanup out of scope: - reward amounts - authentication - backend schema - native plugins behavior: max visual duration ms: 700 repeated event: no duplicate reward or parallel feedback reduced motion: static label and icon evidence: - exact revision - reproduction steps - normal and repeated event recording - teardown check - actual test environment review: visual: assigned artist integration: assigned engineer release: assigned release owner Before starting, replace role labels with the people responsible and the event label with the actual repository symbol. If the event does not exist, stop and agree on the expanded scope. For a project using SpacetimeDB, route the visual from the game’s existing confirmed state. Do not add a second reward operation to an animation callback. For a PixiJS HUD or a Three.js scene, define where the effect lives and who owns its cleanup. In a project that uses both, decide whether both layers need feedback; two celebrations may compete for attention. For a Capacitor build, include a real device check before claiming mobile support. Browser playback answers a narrower question. The happy path is one completed objective and one visual response. The review should also cover a repeated event, a scene exit during playback, a failed asset load, and reduced-motion mode. If the asset fails to load, preserve the underlying completion state and text feedback. If the scene closes, remove its event subscription and effect resources. If reduced motion is enabled, communicate the same outcome without requiring the animation. Record observations for each case. A checklist is a plan until someone runs it. The delivery should let the reviewer locate the code, reproduce the behavior, and distinguish checked conditions from assumptions. That is the organizational problem discussed in Wagglet’s game studio workflow article. A finished implementation is only one stage. Visual approval, technical acceptance, and release remain separate decisions, each tied to the same revision. Key Takeaways - •An AI workflow for VFX integration needs a definition of success that survives beyond the agent session - •This story was reported by Dev.to , covering developments in the dev space. - •AI advancements continue to reshape industries — read the full article on Dev.to for complete coverage. 📖 Continue reading the full article: Read Full Article on Dev.to → https://dev.to/hiroshi takamura c851fe71/a-review-contract-for-an-ai-assisted-vfx-change-557n