How Perplexity Engineers Cut Dev Time with AI Coding Tools

Perplexity AI, known for its advanced search engine powered by LLMs, has revealed how it’s using AI internally to streamline product development. According to company engineers, AI coding tools like Cursor and GitHub Copilot have slashed prototyping time from days to mere hours.

Teams reported that AI assistants are invaluable for scaffolding projects, writing repetitive boilerplate, and suggesting test cases. The AI even helps in reviewing pull requests by catching simple errors before human code review.

However, Perplexity engineers acknowledge that these tools aren’t magic bullets. Some AI-generated code introduced hard-to-catch bugs, leading the team to establish stricter testing protocols.

Their approach? Use AI aggressively for speed, but pair it with robust human oversight and automated testing for reliability. The result: faster iteration cycles without sacrificing product quality.