ABRISS – build to destroy

Brutalist towers do not merely collapse here; they become the pieces in elaborate machines designed to ruin everything around them. ABRISS – build to destroy is a minimalist physics puzzler built around constructing bizarre devices, launching them at concrete cityscapes, and watching carefully planned destruction turn into spectacular debris. Its bleak, low-poly urban environments and sparse electronic atmosphere give every level a striking, almost meditative mood before the impact arrives. Beneath the visual calm sits a game about engineering chaos with just enough precision to crack a target’s vulnerable core.

Each campaign stage supplies a limited collection of components—connectors, thrusters, rotators, bombs, lasers, pillars, and extremely heavy blocks—and asks you to assemble a solution. A simple rocket may be enough, but many objectives reward more inventive builds: a spinning laser platform, a pendulum hammer, or a projectile that uses environmental pistons and explosive hazards to reach protected targets. Winning means destroying key blocks, while higher destruction percentages and fewer moves encourage repeated attempts and cleaner designs. New parts and environmental mechanics appear across seven worlds, steadily expanding the toolbox without overwhelming players early on.

What makes ABRISS satisfying is the way practical construction problems meet large-scale simulated collapse. Structures buckle, walls shed thousands of fragments, and huge sections tumble into the void, making successful runs feel like both a puzzle solution and a demolition show. Sandbox mode removes restrictions for unrestricted experiments, Endless mode adds score-chasing pressure, and Workshop support lets players save, share, and test creations beyond the campaign. Photo tools, slow motion, free-camera controls, and looping GIF capture also suit anyone who wants to frame the aftermath. Fans of Besiege, Teardown, or Bad Piggies who enjoy inventing machines rather than simply using preset weapons should find plenty to love, while patient newcomers can learn through experimentation.