Brad Menezes, CEO of enterprise vibe coding startup Superblocks, believes the next crop of billion-dollar startup ideas are hiding in almost plain sight: the system prompts used by existing unicorn AI startups. So as part of his own startup’s new product announcement of an enterprise coding AI agent named Clark, Superblocks offered to share a file of 19 system prompts from some of the most popular AI coding products like Windsurf, Manus, Cursor, Lovable and Bolt. Role prompting helps the LLMs be consistent, giving both purpose and personality. Contextual prompting gives the models the context to consider before acting. It should provide guardrails that can, for instance, reduce costs and ensure clarity on tasks. Tool use enables agentic tasks because it instructs the models how to go beyond just generating text. Replit’s, for instance, is long and describes editing and searching code, installing languages, setting up and querying PostgreSQL databases, executing shell commands and more. Studying others’ system prompts helped Menezes see what other vibe coders emphasized. Tools like Loveable, V0, and Bolt “focus on fast iteration,” he said, whereas “Manus, Devin, OpenAI Codex, and Replit” help users create full-stack applications but “the output is still raw code.” Menezes saw an opportunity to let non-programmers write apps, if his startup could handle more, such as security and access to enterprise data sources like Salesforce.