Josh Pitzalis

I’ve been reflecting on what it means to become a better prompt engineer. The field is expansive—prompt engineering for RAG applications? Better conversational interfaces? Building reliable agents? What does becoming a better prompt engineer even mean? People talk about prompt engineering likes a bag of tricks—the emphasis is on the special phrasing, templates, intricate formatting.…

In this post, I’m looking into the error-handling capabilities of four leading prompt management solutions, which are among the best prompt engineering tools available: PortKey, Agenta AI, LangFuse, and PromptLayer. I’m going to simulate 5 real-world scenarios that are likely to occur if you’re working on a product with non-technical contributors working on a set…

You are a software engineer working on an AI-powered product, and you’ve found yourself in a situation where your product team needs to adjust the wording on some of the prompts that have been hardcoded into the codebase. Maybe you are working on a smaller projects with a single client who wants a bit more…

For most AI powered product teams, the final wording around prompts usually falls to a software engineer. There might be some R&D that goes into designing the prompts before they are handed to the engineers, but once the prompts are hardcoded in, the responsibility of maintaining them becomes the engineering department’s problem.  This is a…