Drag-and-drop real AWS services, wire them together, and simulate live traffic. Then inject faults and watch failures cascade through your architecture in real time. Export to CloudFormation or Terraform with auto-inferred IAM in one click. AI Design Doctor grades your architecture and catches anti-patterns. Collaborate in real time with live cursors. Tackle 10 architecture challenges with automated validation. No AWS account needed. Runs entirely in your browser.
Cascode puts you in a live browser canvas where you assemble real AWS architectures, watch actual message flows run through them, and then deliberately kill nodes to see what cascades. The core idea is that you learn resilience by feeling the difference between a system that holds and one that falls apart, not by memorising diagrams.
Most system design education stops at theory. Cascode makes failure the teacher. When a node dies and you watch the downstream effects ripple through your architecture in real time, that mental model sticks in a way that no diagram ever could. You build intuition for why things break, which is exactly what gets tested when production goes wrong
The "make failure the teacher" approach is exactly how deep technical intuition gets built — and it's radically underused in professional education.
I've been thinking about this a lot designing my Excel for Financial Modelling course on Udemy (https://www.udemy.com/course/exc...). The courses that stick are the ones where you build a model that breaks — circular references that crash the file, linked workbooks that lose their source, sensitivity tables that return errors. Working through the failure is what turns someone from a user into someone who actually understands the tool.
Cascode is applying this to infrastructure in a really direct way. The live canvas + deliberate node killing is a clever mechanism. Most cloud certifications test whether you can recognize a diagram, not whether you understand why a system fails. This closes that gap. Congrats on the launch.
This feels super useful, especially for people preparing for system design interviews or thinking about resilience. How do you decide which failure scenarios to simulate?
Your roadmap mentions exporting to CloudFormation/Terraform with auto-inferred IAM. In practice, how do you infer permissions from the diagram and wiring, and how do you handle the tricky cases (least privilege vs usability, wildcard creep, cross-service actions that are easy to miss)?
The idea of having a dedicated space just to build and break code without wrecking my local environment is super appealing. I can definitely see myself using this as a sandbox to test out messy API integrations before wiring them up in my actual app. I would love to hear how you are handling state management under the hood.
About Cascode on Product Hunt
“Build. Break. Brainstorm.”
Cascode launched on Product Hunt on April 14th, 2026 and earned 101 upvotes and 9 comments, placing #15 on the daily leaderboard. Drag-and-drop real AWS services, wire them together, and simulate live traffic. Then inject faults and watch failures cascade through your architecture in real time. Export to CloudFormation or Terraform with auto-inferred IAM in one click. AI Design Doctor grades your architecture and catches anti-patterns. Collaborate in real time with live cursors. Tackle 10 architecture challenges with automated validation. No AWS account needed. Runs entirely in your browser.
Cascode was featured in Design Tools (259.5k followers), Education (78.4k followers) and Software Engineering (42.3k followers) on Product Hunt. Together, these topics include over 67.9k products, making this a competitive space to launch in.
Who hunted Cascode?
Cascode was hunted by Nour. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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