DevToolsDigest: Issue #320

The Week in Developer Tools

Introducing the Prompt Engineering Toolkit

A well-crafted prompt is essential for obtaining accurate and relevant outputs from LLMs. To facilitate rapid iteration and experimentation of LLMs at Uber, there was a need for centralization to seamlessly construct prompt templates, manage them, and execute them against various underlying LLMs to take advantage of LLM support tasks.

What We Learned from Building a No-code Data Stack

One of the most painful and persistent truths in software is that complexity compounds. Every decision you make at the beginning becomes a foundation, and when that foundation is flawed, every subsequent layer is harder to build and maintain. Nowhere is this more evident than in the modern data stack (a.k.a. MDS).

Industry Research

AI Knows Best (But Won't Tell You Why): Cybersecurity's New Dilemma

AI is rapidly reshaping cybersecurity operations, promising faster responses and better threat detection. But with great power comes great responsibility — or, in this case, a critical challenge: understanding how AI decides what’s “bad” and requires action. The problem isn’t just about trust; it’s about transparency. If we don’t know how cyber defense algorithms are reaching their conclusions, defenders could be left scrambling to mitigate threats they don’t fully understand.

Data-Driven Decision Making & Avoiding "Analysis Paralysis"

In this episode of Leadership Exchange, host Rob Ocel chats with Jerry Reghunadh, Senior Director of Enterprise Architecture at Data Nimbus. Jerry shares his career journey, insights on leveraging tools like ChatGPT and Copilot, and strategies for building effective data pipelines. They explore how companies can avoid "analysis paralysis," adopt AI strategically, and evaluate new technologies to solve real-world problems.