Launch Video Library · AI · Feature · 2026

Devin for Hardware Teams

Cognition introduced an automated triage workflow for Devin that runs hardware simulation tests and identifies root causes overnight.

What Cognition shipped

Cognition expanded its AI software engineer's capabilities with Devin for Hardware Teams, a feature designed to run robot simulation tests overnight. By automating the triage process, the system identifies root causes and opens fix pull requests before engineers log on.

The release targets a specific bottleneck in hardware development: the daily backlog of failed simulation tests. By integrating the results directly into Slack for team review, the workflow positions Devin not just as a coding assistant, but as an automated QA pipeline.

How the motion works

When structuring a workflow demo with distinct chapters—like setting up automation, running tests, and finding root causes—pacing becomes critical. A motion designer might use a hard-cut to snap between these phases, ensuring the viewer understands the progression from setup to execution without lingering on interstitial loading states. Giving each chapter title sufficient hold-time on screen establishes the narrative rhythm before diving into dense terminal or UI elements.

Demonstrating complex automated actions, such as generating pull requests or parsing simulation logs, requires aggressively directing the viewer's eye. A punch-in on specific lines of code or the Slack integration interface helps isolate the most important data. By scaling up the relevant UI components and cropping out the peripheral interface, the motion design prevents the audience from getting lost in the technical noise of a dense development environment.

Kinetic-typography can be employed to emphasize the overnight, automated nature of the tool. Animating timestamps or test failure counts ticking up and then resolving can visually reinforce the speed and scale of the triage process. Snappy, exponential easing on these text reveals keeps the technical subject matter feeling dynamic rather than academic.

What to steal from it

  • Use chapter markers in the edit to give complex technical workflows a clear, predictable structure.
  • Employ a punch-in to isolate critical UI elements when demonstrating dense terminal logs or code reviews.
  • Rely on hard cuts between workflow stages to maintain a brisk, efficient pace.
  • Ensure on-screen text has sufficient hold-time so viewers can process technical claims before the next visual sequence.

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Impractical cuts one from a single prompt — the same motion craft, in about twenty minutes.