We shipped a B2B SaaS in 2.5 weeks using AI-powered development. It only cost us 25 million tokens, our sanity, and a newfound trust issue with AI that forgets Supabase exists.
As the reliance on AI systems grows, so does the complexity of ensuring their security. The cybersecurity landscape is filled with actors who aim to exploit technological advancements for malicious purposes.
Traditionally, developers have been firmly in charge of engineering prompts within AI applications. This crucial task, which involves crafting the queries and commands that guide AI responses, has required a deep understanding of coding and a nuanced grasp of the AI's operating framework.
In the world of software architecture, objects aren't just objects - they're like onions, with layers upon layers of contexts, uses, and purposes. Let's dive into the