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Digital modernization gets all the attention, promising new technologies and efficiencies. But all that glitters isn't gold, especially in technology. When budgets are limited and business operations can't be interrupted by a lengthy cut-over, maximizing your existing legacy systems to their full potential can be the true win-win your team has been looking for.

"What should we build next?" is the essential product management question — and one of the hardest. Here are 13 non-mainstream techniques for uncovering your next killer product or feature idea, from studying customer misbehavior and running JTBD-style interviews to leveraging extreme questions and opportunity backlogs.

No matter how long you've been in the digital transformation consulting business, getting dropped in the middle of an organization to take on a big project can be daunting. There are politics, personalities, and a lot of people to juggle. But there's also plenty of opportunity if you know where to look. Here are actionable tactics for navigating enterprise organizations and delivering the best outcomes.

AI leverages both new and existing UX patterns; learn which patterns to use when designing AI interfaces.

Chatbots like ChatGPT run on Large Language Models that use statistics to figure out what words to string together. Sometimes they're wrong — and they don't know it. Those convincing but incorrect answers are called hallucinations. So how do you deal with them? From data cleaning and prompt engineering to LLM settings and source citations, here are the practical levers you can pull to improve accuracy.

This article introduces the concept of prompt engineering — and more specifically, programmatic prompt engineering — and how it relates to building applications with Large Language Models. Small changes to an LLM prompt can have a big impact on accuracy and value. We'll show how techniques like persona matching and instructor-based prompting can dramatically improve results without relying on the end user to craft the perfect question.

Learn how to leverage LLMs to build a domain specific AI chatbot

Expert Programming does not mean you know everything, but that you know how to find the answers you need.

Mobile App Development panel discussion at RLC 2023 with Lettuce CMO Jennifer Bell: Strengthening Customer Loyalty with a Digitized Dining Experience

Read how TDD optimizes development speed, refactoring, & onboarding while providing living documentation—why code coverage alone isn't enough.

ChatGPT—6 Tips for Improving Your Coding Experience. Read one expert’s advice on how to make ChatGPT a helpful coding companion and simplify the coding process.

From Legacy API to Modern API—Read about the API development needed to support Hertz’s partnerships with Uber and Lyft.

Product-market fit best practices: Desirability, Viability, Feasibility, and Strategic Fit deliver value in a user-centered and differentiated way—Read How

The relationship between software teams and the business is fundamentally broken. Adopting a practice of demoing working software is an effective solution.

Learn how to set up Husky and Git hooks to automate testing and other development workflows. Share configurations across projects and teams with code over documentation.

Here we explore the challenges of running scheduled jobs in a Spring and Kubernetes environment, including duplicate job runs and queuing of jobs.