If You Can't Eval It, You Didn't Ship It
A test verifies that your code does what the test says. An eval verifies that your system does what the user actually needs.
Technology leadership insights on data readiness, AI implementation, and enterprise architecture from Made In Tandem.
A test verifies that your code does what the test says. An eval verifies that your system does what the user actually needs.
Turning intent into syntax was the expensive part of software, and the entire industry is shaped around that assumption. Agentic AI is collapsing the translation layer, and engineers are migrating up a level, from writing the code to deciding, describing, and judging what it should do.
Integration debt is the cost accumulated between systems when decisions are made without enough information, made rapidly when pacing is more important, or when constraints force your hand. It isn’t in itself a bad thing, but it is limiting. Here's how to measure it and begin paying it down.
We built Made In Tandem around one stubborn idea and held onto it for fifteen years. Then AI showed up, and for a while I was certain it had made that idea worthless. Boy did I have it backwards.
Made in Tandem has earned the Gold Stevie Award in Professional Services at the 2024 American Business Awards. Tandem's work modernizing SDG&E's Emergency Notification System reduced a 37-step process to just ten steps, improving public safety response times.
Future-fit software puts customer needs at the center and enables organizations to adapt quickly as technology and markets evolve. This post explores how embracing modern application development, Agile, and DevOps creates the foundation for resilient, future-ready businesses.
Tandem has been named a winner in the 2023-2024 Cloud Awards for Best Cloud Migration or Systems Integration Solution. The award highlights Tandem's work modernizing MIRS, the military enlistment tracking system, with an AWS GovCloud migration.
Microservice architecture promises scalability and adaptability, but it comes with real trade-offs in complexity and latency. This post weighs the pros and cons to help teams make informed decisions about whether microservices are right for their systems.
Data silos silently stifle growth, keeping valuable insights locked away from the teams who need them most. This post shows how to identify the warning signs of siloed data and move toward a Data-as-a-Product approach that breaks down barriers across your organization.
Contractors execute well-defined tasks on short timeframes, while consultants bring strategic guidance and big-picture thinking to complex problems. This post breaks down the key differences to help you decide which type of software professional is right for your next project.
Software resilience isn't just about uptime - it's about culture, metrics, and preparedness. This post lays out a practical framework for building organizations that can detect, respond to, and recover from disruptions before they become disasters.
Four Tandem engineers square off on one of software's great debates: microservices vs. monolithic architecture. They cover the real trade-offs in scalability, complexity, team communication, and when each approach actually makes sense.