Manukrishna JP@themanu11020625133

A single typo in a Terraform file can cost an enterprise millions of dollars in downtime. Today, catching these errors manually in a Pull Request is nearly impossible because human reviewers cannot easily visualize the cascading "blast radius" of complex cloud architectures. Preflight AI is a DevSecOps platform and Chaos Engine that mathematically simulates infrastructure failures before the code is ever deployed. It acts as an automated Principal Cloud Architect. To build a product capable of this at an enterprise scale, standard AI pipelines aren't enough. We engineered a highly optimized Dual-Model Routing Architecture: For rapid logic synthesis, compliance, and security checks, we route workloads to the Fireworks AI API (DeepSeek-V4-Pro). To simulate hundreds of cascading failures simultaneously, we needed brute-force compute. We built a custom Monte Carlo Chaos Engine and offloaded it to a self-hosted Llama-3-70B model running on an AMD MI300X Developer Cloud GPU. The massive 192GB of VRAM allows us to process high-volume parallel simulations that would choke standard infrastructure. Developers can visualize this topological graph in our React Web UI, or they can install our custom GitHub Action to get automated, AI-synthesized architectural fixes posted directly to their Pull Requests. Preflight AI is a highly monetizable B2B SaaS platform built specifically to leverage the raw throughput of AMD hardware alongside the speed of Fireworks AI.

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